CN113607270A - Fault diagnosis method for steam turbine tile vibration sensor - Google Patents
Fault diagnosis method for steam turbine tile vibration sensor Download PDFInfo
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- CN113607270A CN113607270A CN202110771042.5A CN202110771042A CN113607270A CN 113607270 A CN113607270 A CN 113607270A CN 202110771042 A CN202110771042 A CN 202110771042A CN 113607270 A CN113607270 A CN 113607270A
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- 238000012795 verification Methods 0.000 claims description 31
- 238000004088 simulation Methods 0.000 claims description 19
- 238000001228 spectrum Methods 0.000 claims description 13
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- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
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Abstract
The invention provides a fault diagnosis method for a steam turbine tile vibration sensor, which comprises the following steps: s1: establishing a fault diagnosis database, comprising the steps of S101: establishing a mounting and debugging database of the watt vibration sensor, and further comprising the step S102: establishing an online fault set database of the watt vibration sensor; s2: if the tile vibration signal is abnormal during the operation of the steam turbine, performing online fault diagnosis; s3: if the online fault diagnosis cannot find the fault reason matched with the current characteristics from the fault diagnosis database, performing offline fault diagnosis to determine the fault reason of the sensor; and generating a fault element by the determined fault reason and storing the fault element in an online fault diagnosis database. The fault diagnosis method for the steam turbine tile vibration sensor can provide a quick and accurate diagnosis method for the tile vibration sensor for unit operation and maintenance personnel, shortens maintenance time, reduces the number of times of unit error stop, and improves the safety and the economical efficiency of the unit.
Description
Technical Field
The invention relates to the technical field of debugging and overhauling of nuclear power plants, in particular to a fault diagnosis method for a steam turbine tile vibration sensor.
Background
The steam turbine tile vibration signal is an important monitoring parameter in the processes of starting, passing a critical rotating speed area, running and stopping of the steam turbine, and is used as one of the parameters for trip protection of the steam turbine by some manufacturers, so that the reliability of tile vibration data and the rapid diagnosis function when the tile vibration signal is abnormal are related to the safety of the steam turbine.
The pad vibration sensor is mounted on a bearing housing of a non-rotating member, and generally takes a peak-to-peak value of vibration of the bearing housing supporting the rotor as a vibration value. Because the sensor is in a high-temperature and vibrating operation environment for a long time, faults occur frequently, and when the unit vibrates abnormally, the state of the tile vibration sensor needs to be diagnosed in time and fault analysis needs to be carried out.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide a method for diagnosing a fault of a steam turbine tile vibration sensor, aiming at the above-mentioned defects in the related art.
The technical scheme adopted by the invention for solving the technical problem comprises the following steps: the method for diagnosing the fault of the steam turbine tile vibration sensor comprises the following steps:
s1: establishing a fault diagnosis database, comprising the steps of S101: establishing a mounting and debugging database of the watt vibration sensor, and further comprising the step S102: establishing an online fault set database of the watt vibration sensor;
s2: if the tile vibration signal is abnormal during the operation of the steam turbine, performing online fault diagnosis;
s3: if the online fault diagnosis cannot find the fault reason matched with the current characteristics from the fault diagnosis database, performing offline fault diagnosis to determine the fault reason of the sensor; and generating a fault element by the determined fault reason and storing the fault element in an online fault diagnosis database.
Preferably, the S101 includes: and during the installation and debugging of the tile vibration sensor, establishing the installation and debugging technical parameters of the tile vibration sensor into an installation and debugging database, and inputting the installation and debugging technical parameters into a fault diagnosis system of the tile vibration sensor.
Preferably, the S101 includes: establishing initial installation parameters of each sensor according to the serial number of the steam turbine sensor: voltage, current, resistance, insulation, etc.
Preferably, the S101 includes: and establishing channel checking parameters of each tile vibration sensor according to the serial number of the tile vibration sensor of the steam turbine.
Preferably, the S101 includes: and simultaneously installing the tile vibration sensor and the standard sensor which are to be checked and have faults on the platform on the vibration rack with the source, and establishing channel vibration simulation checking parameters of each sensor according to the serial number of the tile vibration sensor of the steam turbine.
Preferably, the S102 includes: in the fault diagnosis system of the watt-vibration sensor, the online fault set database of the watt-vibration sensor is established, the online fault set database comprises fault frequency spectrum characteristic data of different types of watt-vibration sensors, and the types of fault elements in the online fault set database are classified.
Preferably, the S2 includes: and connecting a fault diagnosis device with a signal output interface of a processing module of the watt vibration sensor which has a fault, acquiring an input signal of the watt vibration sensor which has the fault, analyzing the input signal of the watt vibration sensor which has the fault in a time domain, a frequency domain and an amplitude domain, extracting frequency spectrum characteristic data of the sensor which has the fault, and starting an online fault diagnosis subsystem.
Preferably, when the online fault diagnosis subsystem is started, an online fault diagnosis algorithm is called, and the extracted frequency spectrum characteristic data of the watt vibration sensor with the fault is stored in a fault diagnosis database; and analyzing the fault reason of the fault tile vibration sensor according to the data matched with the frequency spectrum characteristic data of the fault tile vibration sensor in the online fault set database.
Preferably, after analyzing the cause of failure of the watt vibration sensor that failed, a fault diagnosis recommendation is invoked from the online fault set database.
Preferably, the S3 includes step S301: and carrying out basic check on the watt vibration sensor which is in failure.
Preferably, the S301 includes: and (4) checking and judging the fault reason according to the appearance, the installation position and/or the cable joint looseness of the faulted tile vibration sensor.
Preferably, the S3 includes step S302: and carrying out disconnection fault diagnosis on the failed tile vibration sensor.
Preferably, the S302 includes: and starting an off-line fault diagnosis subsystem, connecting the failed tile vibration sensor into a fault diagnosis device, and carrying out disconnection detection on the failed tile vibration sensor.
Preferably, the S302 includes: and analyzing the fault reason of the fault tile vibration sensor according to the tile vibration sensor installation and debugging data which is in the installation and debugging database and is numbered corresponding to the fault tile vibration sensor.
Preferably, the S3 includes step S303: and carrying out simulation verification on the dynamic performance with the source of the failed tile vibration sensor.
Preferably, the S303 includes: the device comprises a bearing vibration sensor, a bearing vibration table, a bearing vibration sensor, a bearing vibration table, a bearing vibration sensor and a power supply, wherein the bearing vibration sensor is installed on the bearing vibration table, the bearing vibration sensor and the power supply are installed on the bearing vibration table, the bearing vibration sensor are installed on the power supply, the bearing vibration sensor and the power supply are installed on the bearing vibration table, the bearing vibration sensor and the power supply are installed on the bearing vibration table, at least one bearing vibration sensor and the power supply is installed on the bearing vibration table, the bearing vibration sensor is installed on the power supply, the bearing vibration table, the bearing vibration sensor, and the bearing vibration sensor and the bearing vibration table are installed on the bearing vibration table, and the bearing vibration sensor are subjected to carry out dynamic performance simulation verification to compare whether the differential pressure meet the index requirements or not.
Preferably, the S303 includes: and analyzing whether the deviation of the dynamic performance of the failed tile vibration sensor meets the index requirement or not according to the simulation check data with the source dynamic performance of the tile vibration sensor which is correspondingly numbered with the failed tile vibration sensor in the installation and debugging database.
Preferably, the S3 includes step S304: and verifying the channels of the tile vibration sensors for the fault tile vibration sensors.
Preferably, the S304 includes: verifying a mu A, mV level small signal watt vibration module of the failed watt vibration sensor; during verification, whether the deviation between the channel of the failed tile vibration sensor and the initial installation stage meets the index requirement or not is analyzed according to the channel verification data of the tile vibration sensor which is correspondingly numbered with the failed tile vibration sensor in the installation and debugging database.
Preferably, the S3 includes step S305: and carrying out active dynamic channel verification on the failed watt vibration sensor.
Preferably, the S305 includes: and (3) carrying out channel dynamic performance simulation verification on the standard tile vibration sensor and the fault tile vibration sensor by adopting a vibration table with a source, and analyzing whether the deviation of the channel of the tile vibration sensor with the fault tile vibration sensor at the initial installation stage meets the index requirement or not by comparing the dynamic verification data of the tile vibration sensor and the standard tile vibration sensor with the fault and according to the verification data of the dynamic channel with the source of the tile vibration sensor with the corresponding serial number of the tile vibration sensor with the fault tile vibration sensor in the installation and debugging database.
Preferably, the S305 includes: and carrying out signal analysis and comparison on the spectral characteristics of the signals generated by the dynamic performance simulation verification and the spectral characteristics of the watt vibration sensor with the fault in the online fault diagnosis.
The technical scheme of the invention at least has the following beneficial effects: the fault diagnosis method for the steam turbine tile vibration sensor can provide a quick and accurate diagnosis method for the tile vibration sensor for unit operation and maintenance personnel, shortens maintenance time, reduces the number of times of unit error stop, and improves the safety and the economical efficiency of the unit.
Drawings
The invention will be further described with reference to the accompanying drawings and examples, in which:
FIG. 1 is a flow chart of a method for diagnosing a steam turbine tile vibration sensor fault according to an embodiment of the present invention.
Detailed Description
For a more clear understanding of the technical features, objects and effects of the present invention, embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be understood that if the terms "front", "back", "upper", "lower", "left", "right", "longitudinal", "lateral", "vertical", "horizontal", "top", "bottom", "inner", "outer", "head", "tail", etc. are used herein to indicate an orientation or positional relationship, they are constructed and operated in a specific orientation based on the orientation or positional relationship shown in the drawings, which is for convenience of describing the present invention, and do not indicate that the device or component being referred to must have a specific orientation, and thus, should not be construed as limiting the present invention. It is also to be understood that, unless otherwise expressly stated or limited, the terms "mounted," "connected," "secured," "disposed," and the like, if used herein, are intended to be inclusive, e.g., that they may be fixedly connected, detachably connected, or integrally formed; either directly or indirectly through intervening media, either internally or in any other relationship. When an element is referred to as being "on" or "under" another element, it can be "directly" or "indirectly" on the other element or intervening elements may also be present. If the terms "first", "second", "third", etc. are used herein only for convenience in describing the present technical solution, they are not to be taken as indicating or implying relative importance or implicitly indicating the number of technical features indicated, whereby the features defined as "first", "second", "third", etc. may explicitly or implicitly include one or more of such features. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
The fault diagnosis method for the steam turbine tile vibration sensor of the invention mainly locates the link of the fault in the whole measuring channel of the tile vibration sensor rapidly by the following method, and rapidly and accurately diagnoses the fault reason of the tile vibration sensor:
1. establishing a characteristic database of each sensor during the installation and debugging of the tile vibration sensor;
2. when the data of the tile vibration sensor is abnormal, a developed fault diagnosis device is adopted to carry out online fault diagnosis;
3. visually checking the installation position and the appearance of the on-site tile vibration sensor;
4. comparing, checking and diagnosing the vibration characteristics of the tile vibration sensor on the site of the steam turbine plant by adopting a developed fault diagnosis device;
5. the developed fault diagnosis device is adopted to carry out comparison, verification and diagnosis on high-precision channel signals of the tile vibration sensor (comprising a mu A, mV level small-signal acceleration type tile vibration sensor) on the site of the steam turbine plant.
The general scheme of the fault diagnosis method for the steam turbine tile vibration sensor mainly comprises three parts of establishing a fault diagnosis database, and performing online fault diagnosis and offline fault diagnosis.
Referring to fig. 1, a method for diagnosing a fault of a steam turbine tile vibration sensor according to an embodiment of the present invention includes the steps of:
database building step S1: establishing a fault diagnosis database, comprising the steps of S101: establishing a mounting and debugging database of the watt vibration sensor, and further comprising the step S102: establishing an online fault set database of the watt vibration sensor;
online fault diagnosis step S2: if the tile vibration signal is abnormal during the operation of the steam turbine, performing online fault diagnosis;
offline fault diagnosis step S3: if the online fault diagnosis cannot find the fault reason matched with the current characteristics from the fault diagnosis database, performing offline fault diagnosis to determine the fault reason of the sensor; and generating a fault element by the diagnosis system and storing the fault element in an online fault diagnosis database.
The fault diagnosis method for the steam turbine tile vibration sensor can provide a quick and accurate diagnosis method for the tile vibration sensor for unit operation and maintenance personnel, shortens maintenance time, reduces the number of times of unit error stop, and improves the safety and the economical efficiency of the unit.
The following describes a preferred embodiment of the method for diagnosing a fault of a steam turbine tile vibration sensor.
S101 includes: during the installation and debugging of the tile vibration sensor, establishing installation and debugging technical parameters of the tile vibration sensor into an installation and debugging database, and inputting the installation and debugging technical parameters into a fault diagnosis system of the tile vibration sensor;
s101 includes: a. establishing initial installation parameters of each sensor according to the serial number of the steam turbine sensor: voltage, current, resistance, insulation, etc.
S101 includes: b. and establishing channel checking parameters of each tile vibration sensor according to the serial number of the tile vibration sensor of the steam turbine by adopting a tile vibration channel checking device. And the signal of the tile vibration channel module is output to a fault diagnosis device.
S101 includes: c. a tile vibration belt source vibration table is adopted, the vibration table is provided with standard tile vibration sensors of the same model, the fault tile vibration sensor to be verified and the standard sensor are simultaneously installed on a belt source vibration table frame, and channel vibration simulation verification parameters of all sensors are established according to the serial number of the steam turbine tile vibration sensors. Output signals of a watt vibration sensor and a standard sensor of a fault to be verified on the vibration rack are simultaneously accessed into the fault diagnosis device, and the fault diagnosis system analyzes and extracts frequency spectrum characteristic data and stores the data into the installation and debugging database.
S102 includes: in the fault diagnosis system of the watt-vibration sensor, an online fault set database of the watt-vibration sensor is established by adopting a special algorithm, the online fault set database comprises fault frequency spectrum characteristic data of different types of watt-vibration sensors, and the types of fault elements in the online fault set database are classified and searched online according to the special algorithm; the purposes of rapid and accurate analysis and diagnosis during online fault diagnosis are achieved;
s2 includes: and connecting the fault diagnosis device with a signal output interface of a processing module of the failed tile vibration sensor, acquiring an input signal of the failed tile vibration sensor, analyzing the input signal of the failed tile vibration sensor in a time domain, a frequency domain and an amplitude domain, extracting frequency spectrum characteristic data of the failed tile vibration sensor, and starting an online fault diagnosis subsystem.
When the online fault diagnosis subsystem is started, the system calls an online fault diagnosis algorithm, and the extracted spectral characteristic data of the faulty watt vibration sensor is automatically classified and stored in a fault diagnosis database according to an online fault set database algorithm. And analyzing the fault reason of the fault watt-vibration sensor from the characteristic libraries of a time domain, a frequency domain and an amplitude domain according to the data matched with the spectral characteristic data of the fault watt-vibration sensor in the online fault set database.
After analyzing the faulty Waring sensor, a troubleshooting expert advice is called from an online fault set database to guide subsequent fault handling work.
S3 includes step S301: the fault watt vibration sensor is basically checked, and simple faults are quickly determined and concluded through some simple, apparent and obvious checking and judging.
S301 includes: and (4) judging the fault reason through checking the appearance, the installation position and/or the cable joint looseness of the fault tile vibration sensor.
S3 includes step S302: and carrying out disconnection fault diagnosis on the failed tile vibration sensor.
S302 comprises: when the off-line fault diagnosis subsystem is started, the system calls an off-line fault diagnosis algorithm. Firstly, the tile vibration sensor in the fault is connected to a fault diagnosis device from a local junction box, and the broken line detection of the sensor is carried out on the failed tile vibration sensor.
S302 comprises: and simultaneously calling data from an installation and debugging database of the fault diagnosis database, and analyzing fault reasons matched with the characteristic data from the installation and debugging data of the tile vibration sensor with the corresponding number of the tile vibration sensor in the installation and debugging database.
S3 includes step S303: and carrying out simulation verification on the dynamic performance with the source on the failed tile vibration sensor.
S303 includes: after the disconnection fault diagnosis is carried out in S302, the fault tile vibration sensor installed on site is detached, the fault tile vibration sensor is installed on the vibration rack with the source, and at least one standard tile vibration sensor of the same type as the fault tile vibration sensor is installed on the vibration rack with the source. The vibration table with the source is a combined type small vibration calibration and test system, and can be used for not only carrying out dynamic performance and calibration detection on various types of tile vibration sensors such as acceleration type, velocity type, magnetoelectric velocity type and the like, but also carrying out static displacement characteristic detection on displacement sensors such as an eddy current sensor, an LVD (linear variable differential pressure) and the like according to the claims. And carrying out dynamic performance simulation verification on the standard tile vibration sensor and the failed tile vibration sensor at the same time through the vibrating table with the source, and comparing whether the differential pressure between the standard tile vibration sensor and the failed tile vibration sensor meets the index requirement or not.
S303 includes: and analyzing whether the deviation of the dynamic performance of the failed tile vibration sensor after the operation of the steam turbine meets the index requirement or not according to the dynamic performance simulation check data with the source of the tile vibration sensor which is correspondingly numbered with the tile vibration sensor of the failure and an installation and debugging database of a failure diagnosis database.
S3 includes step S304: and verifying the channels of the tile vibration sensors for the failed tile vibration sensors.
S304 includes: the tile vibration sensor channel calibration device with the small signal source is connected from the local tile vibration sensor junction box, and the precision calibration of the tile vibration sensor removing sensor from the local calibration tile vibration sensor channel can be realized. The channel checking device realizes the checking of a mu A, mV level small signal tile vibration module on a failed tile vibration sensor; during checking, the fault diagnosis device can acquire signals from the signal output end of the tile vibration processing module, call channel checking data of the numbered sensor corresponding to the failed tile vibration sensor from the installation and debugging database of the fault diagnosis database, and analyze whether the deviation between the channel of the failed tile vibration sensor and the initial installation stage meets the index requirement.
S3 includes step S305: and carrying out active dynamic channel verification on the failed watt vibration sensor.
S305 includes: the method comprises the steps of simultaneously carrying out channel dynamic performance simulation verification on a standard sensor and a failed tile vibration sensor by adopting a vibrating table with a source, calling dynamic channel verification data with the tile vibration sensor which is correspondingly numbered with the failed tile vibration sensor from an installation and debugging database of a fault diagnosis database by comparing dynamic verification data of the failed tile vibration sensor and the standard tile vibration sensor, and analyzing whether the deviation of the channel of the failed tile vibration sensor and the initial installation stage meets the index requirement.
S305 includes: the off-line fault diagnosis subsystem extracts the frequency spectrum characteristic of the signal generated by the dynamic performance simulation check, and performs signal analysis and comparison with the frequency spectrum characteristic of the watt vibration sensor with the fault in the on-line fault diagnosis.
1. According to the fault diagnosis method for the steam turbine tile vibration sensor, provided by the invention, the online fault diagnosis of the tile vibration signal can be rapidly and accurately finished by establishing the online fault set database and the online fault diagnosis algorithm, and the fault reason of the tile vibration sensor can be judged.
2. According to the steam turbine tile vibration sensor fault diagnosis method provided by the invention, the on-site disconnection detection and full-channel verification of various tile vibration sensors can be realized through the channel verification device and the vibration table frame with the source, and particularly the high-precision verification of a mu A, mV level small-signal tile vibration channel can be realized.
3. According to the steam turbine tile vibration sensor fault diagnosis method provided by the invention, the on-site comparison and verification of various types of tile vibration sensors and standard sensors can be realized through the on-site vibration rack, and whether the dynamic performance of the tile vibration sensors meets the requirements or not can be quickly judged; the simulation verification of the dynamic performance of the belt source can be realized on site, the dynamic characteristics of the whole channel and the fault reason of the online data of the fault tile vibration sensor can be quickly and accurately judged, and therefore whether the fault reason is the reason of the tile vibration sensor or the reason of a steam turbine or an installation environment can be quickly judged.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the present invention, as it will be apparent to those skilled in the art that various modifications, combinations and variations can be made in the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.
Claims (22)
1. A fault diagnosis method for a steam turbine tile vibration sensor is characterized by comprising the following steps:
s1: establishing a fault diagnosis database, comprising the steps of S101: establishing a mounting and debugging database of the watt vibration sensor, and further comprising the step S102: establishing an online fault set database of the watt vibration sensor;
s2: if the tile vibration signal is abnormal during the operation of the steam turbine, performing online fault diagnosis;
s3: if the online fault diagnosis cannot find the fault reason matched with the current characteristics from the fault diagnosis database, performing offline fault diagnosis to determine the fault reason of the sensor; and generating a fault element by the determined fault reason and storing the fault element in an online fault diagnosis database.
2. The steam turbine tile vibration sensor fault diagnosis method according to claim 1, wherein the S101 includes: and during the installation and debugging of the tile vibration sensor, establishing the installation and debugging technical parameters of the tile vibration sensor into an installation and debugging database, and inputting the installation and debugging technical parameters into a fault diagnosis system of the tile vibration sensor.
3. The steam turbine tile vibration sensor fault diagnosis method according to claim 2, wherein the S101 includes: establishing initial installation parameters of each sensor according to the serial number of the steam turbine sensor: voltage, current, resistance, insulation, etc.
4. The steam turbine tile vibration sensor fault diagnosis method according to claim 2, wherein the S101 includes: and establishing channel checking parameters of each tile vibration sensor according to the serial number of the tile vibration sensor of the steam turbine.
5. The steam turbine tile vibration sensor fault diagnosis method according to claim 2, wherein the S101 includes: and simultaneously installing the tile vibration sensor and the standard sensor which are to be checked and have faults on the platform on the vibration rack with the source, and establishing channel vibration simulation checking parameters of each sensor according to the serial number of the tile vibration sensor of the steam turbine.
6. The steam turbine tile vibration sensor fault diagnosis method according to claim 1, wherein the S102 includes: in the fault diagnosis system of the watt-vibration sensor, the online fault set database of the watt-vibration sensor is established, the online fault set database comprises fault frequency spectrum characteristic data of different types of watt-vibration sensors, and the types of fault elements in the online fault set database are classified.
7. The steam turbine tile vibration sensor fault diagnosis method according to claim 1, wherein the S2 includes: and connecting a fault diagnosis device with a signal output interface of a processing module of the watt vibration sensor which has a fault, acquiring an input signal of the watt vibration sensor which has the fault, analyzing the input signal of the watt vibration sensor which has the fault in a time domain, a frequency domain and an amplitude domain, extracting frequency spectrum characteristic data of the sensor which has the fault, and starting an online fault diagnosis subsystem.
8. The steam turbine tile vibration sensor fault diagnosis method according to claim 7, characterized in that when an online fault diagnosis subsystem is started, an online fault diagnosis algorithm is called, and the spectrum characteristic data of the extracted fault tile vibration sensor is stored in a fault diagnosis database; and analyzing the fault reason of the fault tile vibration sensor according to the data matched with the frequency spectrum characteristic data of the fault tile vibration sensor in the online fault set database.
9. The steam turbine tile vibration sensor fault diagnosis method according to claim 8, characterized in that after analyzing the fault cause of the faulty tile vibration sensor, a fault diagnosis suggestion is called from the online fault set database.
10. The method for diagnosing a fault of a steam turbine tile vibration sensor according to claim 1, wherein the step S3 includes the step S301 of: and carrying out basic check on the watt vibration sensor which is in failure.
11. The steam turbine tile vibration sensor fault diagnosis method according to claim 10, wherein the S301 includes: and (4) checking and judging the fault reason according to the appearance, the installation position and/or the cable joint looseness of the faulted tile vibration sensor.
12. The method for diagnosing a fault of a steam turbine tile vibration sensor according to claim 1, wherein the step S3 includes the step S302 of: and carrying out disconnection fault diagnosis on the failed tile vibration sensor.
13. The steam turbine tile vibration sensor fault diagnosis method according to claim 12, wherein the S302 includes: and starting an off-line fault diagnosis subsystem, connecting the failed tile vibration sensor into a fault diagnosis device, and carrying out disconnection detection on the failed tile vibration sensor.
14. The steam turbine tile vibration sensor fault diagnosis method according to claim 13, wherein the S302 includes: and analyzing the fault reason of the fault tile vibration sensor according to the tile vibration sensor installation and debugging data which is in the installation and debugging database and is numbered corresponding to the fault tile vibration sensor.
15. The method for diagnosing a fault of a steam turbine tile vibration sensor according to claim 1, wherein the step S3 includes the step S303: and carrying out simulation verification on the dynamic performance with the source of the failed tile vibration sensor.
16. The steam turbine tile vibration sensor fault diagnosis method according to claim 15, wherein the S303 includes: the device comprises a bearing vibration sensor, a bearing vibration table, a bearing vibration sensor, a bearing vibration table, a bearing vibration sensor and a power supply, wherein the bearing vibration sensor is installed on the bearing vibration table, the bearing vibration sensor and the power supply are installed on the bearing vibration table, the bearing vibration sensor are installed on the power supply, the bearing vibration sensor and the power supply are installed on the bearing vibration table, the bearing vibration sensor and the power supply are installed on the bearing vibration table, at least one bearing vibration sensor and the power supply is installed on the bearing vibration table, the bearing vibration sensor is installed on the power supply, the bearing vibration table, the bearing vibration sensor, and the bearing vibration sensor and the bearing vibration table are installed on the bearing vibration table, and the bearing vibration sensor are subjected to carry out dynamic performance simulation verification to compare whether the differential pressure meet the index requirements or not.
17. The steam turbine tile vibration sensor fault diagnosis method according to claim 16, wherein the S303 includes: and analyzing whether the deviation of the dynamic performance of the failed tile vibration sensor meets the index requirement or not according to the simulation check data with the source dynamic performance of the tile vibration sensor which is correspondingly numbered with the failed tile vibration sensor in the installation and debugging database.
18. The method for diagnosing a fault of a steam turbine tile vibration sensor according to claim 1, wherein the step S3 includes the step S304 of: and verifying the channels of the tile vibration sensors for the fault tile vibration sensors.
19. The steam turbine tile vibration sensor fault diagnosis method according to claim 18, wherein the S304 includes: verifying a mu A, mV level small signal watt vibration module of the failed watt vibration sensor; during verification, whether the deviation between the channel of the failed tile vibration sensor and the initial installation stage meets the index requirement or not is analyzed according to the channel verification data of the tile vibration sensor which is correspondingly numbered with the failed tile vibration sensor in the installation and debugging database.
20. The steam turbine tile vibration sensor fault diagnosis method according to claim 1, wherein the S3 includes step S305: and carrying out active dynamic channel verification on the failed watt vibration sensor.
21. The steam turbine tile vibration sensor fault diagnosis method according to claim 20, wherein the S305 includes: and (3) carrying out channel dynamic performance simulation verification on the standard tile vibration sensor and the fault tile vibration sensor by adopting a vibration table with a source, and analyzing whether the deviation of the channel of the tile vibration sensor with the fault tile vibration sensor at the initial installation stage meets the index requirement or not by comparing the dynamic verification data of the tile vibration sensor and the standard tile vibration sensor with the fault and according to the verification data of the dynamic channel with the source of the tile vibration sensor with the corresponding serial number of the tile vibration sensor with the fault tile vibration sensor in the installation and debugging database.
22. The steam turbine tile vibration sensor fault diagnosis method according to claim 21, wherein the S305 includes: and carrying out signal analysis and comparison on the spectral characteristics of the signals generated by the channel dynamic performance simulation verification and the spectral characteristics of the watt vibration sensor with the fault in the online fault diagnosis.
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