CN108362497A - A kind of method and system judged extremely for water turbine set bearing temperature - Google Patents
A kind of method and system judged extremely for water turbine set bearing temperature Download PDFInfo
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- CN108362497A CN108362497A CN201810189135.5A CN201810189135A CN108362497A CN 108362497 A CN108362497 A CN 108362497A CN 201810189135 A CN201810189135 A CN 201810189135A CN 108362497 A CN108362497 A CN 108362497A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M13/00—Testing of machine parts
- G01M13/04—Bearings
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K13/00—Thermometers specially adapted for specific purposes
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Abstract
This application discloses a kind of method and system judged extremely for water turbine set bearing temperature, belong to field of power, the measured value to be checked of each bearing temperature measuring point is calculated by measured value computing module to be checked, measured value to be checked is compared by temperature anomaly judgment module with predetermined threshold value, judge whether any value in measured value to be checked is more than predetermined threshold value, if any value in measured value to be checked is more than predetermined threshold value, the corresponding bearing temperature of measured value so to be checked is abnormal, it is on the contrary, the corresponding bearing temperature of measured value to be checked is normal, the application can judge whether the temperature of each bearing temperature measuring point is abnormal, it can timely reflect whether the temperature of water turbine set bearing is abnormal.
Description
Technical field
This application involves field of power more particularly to a kind of methods judged extremely for water turbine set bearing temperature
And system.
Background technology
Most of failure of water turbine set is gradual, and failure develops what often experience occurred, develops until deteriorated
Process, water turbine set fault type are divided into three classes：Failure caused by mechanical factor, failure caused by hydraulic factors and electricabsorption agent
Caused failure.Failure caused by mechanical factor is mainly caused by the defects of hydrogenerator manufacture and installation：Such as rotor
It rubs with stator, rotor portion quality is unequal and shafting part misaligns can cause unit operation situation abnormal.Water
Failure is mainly uneven by Pressure Fluctuation in Draft Tube caused by power factor, and spiral case flow field, blade afterbody karman vortex draws
It rises.Failure caused by electricabsorption agent is mainly caused by motor rotating part unbalance stress or stator core loosening.It is above-mentioned several
Class failure is often embodied by water turbine set shafting, is shown as bearing temperature raising, shafting vibration extremely and is increased extremely
Deng therefore, it is necessary to carry out abnormal judgement to water turbine set bearing temperature.
The abnormality of bearing often originates from certain one or a few bearing shell, when abnormal in early stage occurs in bearing local temperature
When, entire shafting vibration and bearing cooling water inlet and outlet are not usually out-of-limit, judge in time if cannot make at this time and take phase
Pass measure will cause equipment non-programmed halt with the continuous development of failure.
Currently, the method that Hydropower Unit bearing temperature judges extremely is in the main positions of Hydropower Unit addition vibration, position
The signal transducers such as shifting, temperature carry out on-line monitoring and analyzing and diagnosing, so not to realize to the key parameter of water turbine set
Only investment cost is high, it is also necessary to which periodic calibration sensor, the method for adding sensor accident sign can not occur in Hydropower Unit
Early stage provide abnormity early warning diagnosis.
Invention content
This application provides a kind of method and system judged extremely for water turbine set bearing temperature, to solve existing side
Method cannot reflect that Hydropower Unit bearing temperature is abnormal in time, the problem of causing equipment non-programmed halt.
In a first aspect, this application provides a kind of methods judged extremely for water turbine set bearing temperature, including：
Step S1 obtains the real-time temperature values of each bearing of water turbine set, and the real-time temperature values include that each bearing is all
Temperature point；
Step S2 calculates the measured value to be checked of each bearing temperature measuring point according to the real-time temperature values of each bearing, described to be detected
Value includes maximum value, average value and the variance of each bearing temperature measuring point；
Step S3, obtains the predetermined threshold value of each bearing temperature measuring point, and the predetermined threshold value includes maximum threshold, average value
Threshold value and variance threshold values；
Step S4 judges whether any value in measured value to be checked is more than predetermined threshold value according to measured value to be checked and predetermined threshold value,
If any value in measured value to be checked is more than predetermined threshold value, the corresponding bearing temperature of measured value to be checked is abnormal, conversely, to be detected
It is normal to be worth corresponding bearing temperature.
Preferably, the real-time temperature values according to each bearing, the measured value to be checked for calculating each bearing temperature measuring point include：
The variance of each bearing temperature measuring point is calculated according to following formula：
In formula, N indicates the quantity of a certain bearing temperature measuring point of water turbine set, xiIndicate a certain bearing of water turbine set i-th
The instantaneous value of temperature point,Indicate the arithmetic mean of instantaneous value of all temperature points of a certain bearing of water turbine set；
Calculate the maximum value and average value of each bearing temperature measuring point.
Preferably, the predetermined threshold value for obtaining each bearing temperature measuring point includes：
The maximum threshold of each bearing temperature measuring point is obtained, the maximum threshold is that each bearing temperature measuring point is at least continuous
The maximum value of three maximum extreme values month in and month out；
The average value threshold value of each bearing temperature measuring point is obtained, the average value threshold value is that each bearing temperature measuring point is at least continuous
The maximum value of three maximum average values month in and month out；
The variance threshold values of each bearing temperature measuring point are obtained, the variance threshold values are that each bearing temperature measuring point is three at least continuous
The maximum value of maximum variance month in and month out.
Second aspect, present invention also provides a kind of systems judged extremely for water turbine set bearing temperature, including：It is real
When temperature value acquisition module, measured value computing module to be checked, predetermined threshold value acquisition module and temperature anomaly judgment module, wherein
The real-time temperature values acquisition module, measured value computing module, the predetermined threshold value acquisition module and the institute to be checked
Temperature anomaly judgment module is stated to be sequentially connected；
The real-time temperature values acquisition module, the real-time temperature values for obtaining each bearing of water turbine set；
The measured value computing module to be checked calculates each bearing temperature measuring point for the real-time temperature values according to each bearing
Measured value to be checked；
The predetermined threshold value acquisition module, the predetermined threshold value for obtaining each bearing temperature measuring point of water turbine set；
The temperature anomaly judgment module, for judging whether any value in measured value to be checked is more than predetermined threshold value, if
Any value in measured value to be checked is more than predetermined threshold value, then the corresponding bearing temperature of measured value to be checked is abnormal, conversely, measured value pair to be checked
The bearing temperature answered is normal.
Preferably, the measured value computing module to be checked includes：Variance computing unit, maximum value calculation unit and average value
Computing unit, wherein
The variance computing unit, the maximum value calculation unit and the average calculation unit are sequentially connected；
The variance computing unit, the variance for calculating each bearing temperature measuring point；
The maximum value calculation unit, the maximum value for calculating each bearing temperature measuring point；
The average calculation unit, the average value for calculating each bearing temperature measuring point.
Preferably, the predetermined threshold value acquisition module includes：Maximum threshold acquiring unit, average value threshold value obtain single
Member and variance threshold values acquiring unit, wherein
The maximum threshold acquiring unit, the average value threshold value acquiring unit and the variance threshold values acquiring unit according to
Secondary connection；
The maximum threshold acquiring unit, the maximum threshold for obtaining each bearing temperature measuring point；
The average value threshold value acquiring unit, the average value threshold value for obtaining each bearing temperature measuring point；
The variance threshold values acquiring unit, the variance threshold values for obtaining each bearing temperature measuring point.
By above technical scheme it is found that this application provides a kind of methods judged extremely for water turbine set bearing temperature
And system, the measured value to be checked of each bearing temperature measuring point is calculated by measured value computing module to be checked, temperature anomaly judgment module will
Measured value to be checked is compared with predetermined threshold value, judges whether any value in measured value to be checked is more than predetermined threshold value, if to be detected
Any value in value is more than predetermined threshold value, then the corresponding bearing temperature of measured value to be checked is abnormal, conversely, the corresponding axis of measured value to be checked
Hold that temperature is normal, the application can judge whether the temperature of each bearing temperature measuring point is abnormal, can timely reflect water wheels
Whether the temperature of unit bearing is abnormal.
Description of the drawings
In order to illustrate more clearly of the technical solution of the application, letter will be made to attached drawing needed in the embodiment below
Singly introduce, it should be apparent that, for those of ordinary skills, without having to pay creative labor,
Other drawings may also be obtained based on these drawings.
Fig. 1 is a kind of flow chart of the method judged extremely for water turbine set bearing temperature of the application；
Fig. 2 is a kind of flow chart of the method judged extremely for water turbine set bearing temperature of the application；
Fig. 3 is a kind of structural schematic diagram of the system judged extremely for water turbine set bearing temperature of the application；
Fig. 4 is a kind of measured value computing module to be checked of the system judged extremely for water turbine set bearing temperature of the application
Structural schematic diagram；
Fig. 5 is a kind of predetermined threshold value acquisition module of the system judged extremely for water turbine set bearing temperature of the application
Structural schematic diagram.
Specific implementation mode
With reference to the attached drawing in the application, technical solutions in the embodiments of the present application is clearly and completely described,
Obviously, described embodiment is only a part of the embodiment of the application, instead of all the embodiments.Based in the application
Embodiment, every other embodiment obtained by those of ordinary skill in the art without making creative efforts,
It shall fall within the protection scope of the present invention.
Many details are elaborated in the following description in order to fully understand the application, but the application can be with
It is different from the other modes that describe again using other to implement, those skilled in the art can be without prejudice to the application intension
In the case of do similar popularization, therefore the application is not limited by following public specific embodiment.
Referring to Fig. 1, for a kind of stream of the method one embodiment judged extremely for water turbine set bearing temperature of the application
Cheng Tu, this method comprises the following steps：
Step S11 obtains the real-time temperature values of each bearing of water turbine set, and the real-time temperature values include that each bearing is all
Temperature point.
Above-mentioned bearing includes top guide bearing, lower guide bearing, water pilot bearing and the thrust bearing of water turbine set.
Step S12 calculates the measured value to be checked of each bearing temperature measuring point according to the real-time temperature values of each bearing, described to be checked
Measured value includes maximum value, average value and the variance of each bearing temperature measuring point.
Step S13, obtains the predetermined threshold value of each bearing temperature measuring point, and the predetermined threshold value includes maximum threshold, is averaged
It is worth threshold value and variance threshold values.
Step S14 judges whether any value in measured value to be checked is more than default threshold according to measured value to be checked and predetermined threshold value
Value, if any value in measured value to be checked is more than predetermined threshold value, the corresponding bearing temperature of measured value to be checked is abnormal, conversely, waiting for
The corresponding bearing temperature of detected value is normal.
If bearing temperature is abnormal, system sends out early warning, and early warning is sent out by DCS system or SIS systems.
By above technical scheme it is found that this application provides a kind of methods judged extremely for water turbine set bearing temperature
And system, the measured value to be checked of each bearing temperature measuring point is calculated by measured value computing module to be checked, temperature anomaly judgment module will
Measured value to be checked is compared with predetermined threshold value, judges whether any value in measured value to be checked is more than predetermined threshold value, if to be detected
Any value in value is more than predetermined threshold value, then the corresponding bearing temperature of measured value to be checked is abnormal, conversely, the corresponding axis of measured value to be checked
Hold that temperature is normal, the application can judge whether the temperature of each bearing temperature measuring point is abnormal, can timely reflect water wheels
Whether the temperature of unit bearing is abnormal.
Referring to Fig. 2, for a kind of method another embodiment judged extremely for water turbine set bearing temperature of the application
Flow chart, this method comprises the following steps：
Step S21 obtains the real-time temperature values of each bearing of water turbine set, and the real-time temperature values include that each bearing is all
Temperature point.
Step S22 calculates the variance of each bearing temperature measuring point according to following formula：
In formula, N indicates the quantity of a certain bearing temperature measuring point of water turbine set, xiIndicate a certain bearing of water turbine set i-th
The instantaneous value of temperature point,Indicate the arithmetic mean of instantaneous value of all temperature points of a certain bearing of water turbine set.
Step S23 calculates the maximum value and average value of each bearing temperature measuring point.
Step S24, obtains the maximum threshold of each bearing temperature measuring point, and the maximum threshold is each bearing temperature measuring point
The maximum value of at least continuous three maximum extreme values month in and month out.
Step S25, obtains the average value threshold value of each bearing temperature measuring point, and the average value threshold value is each bearing temperature measuring point
The maximum value of at least continuous three maximum average values month in and month out.
Step S26, obtains the variance threshold values of each bearing temperature measuring point, the variance threshold values be each bearing temperature measuring point at least
The maximum value of continuous three maximum variances month in and month out.
Step S27 judges whether any value in measured value to be checked is more than default threshold according to measured value to be checked and predetermined threshold value
Value, if any value in measured value to be checked is more than predetermined threshold value, the corresponding bearing temperature of measured value to be checked is abnormal, conversely, waiting for
The corresponding bearing temperature of detected value is normal.
It is a kind of system judged extremely for water turbine set bearing temperature of the application referring to Fig. 3, including：Real time temperature
It is worth acquisition module, measured value computing module to be checked, predetermined threshold value acquisition module and temperature anomaly judgment module, wherein
The real-time temperature values acquisition module, measured value computing module, the predetermined threshold value acquisition module and the institute to be checked
Temperature anomaly judgment module is stated to be sequentially connected.
The real-time temperature values acquisition module, the real-time temperature values for obtaining each bearing of water turbine set.
The measured value computing module to be checked calculates each bearing temperature measuring point for the real-time temperature values according to each bearing
Measured value to be checked.
The predetermined threshold value acquisition module, the predetermined threshold value for obtaining each bearing temperature measuring point of water turbine set.
The temperature anomaly judgment module, for judging whether any value in measured value to be checked is more than predetermined threshold value, if
Any value in measured value to be checked is more than predetermined threshold value, then the corresponding bearing temperature of measured value to be checked is abnormal, conversely, measured value pair to be checked
The bearing temperature answered is normal.
Preferably, referring to Fig. 4, the measured value computing module to be checked includes：Variance computing unit, maximum value calculation unit
And average calculation unit, wherein
The variance computing unit, the maximum value calculation unit and the average calculation unit are sequentially connected.
The variance computing unit, the variance for calculating each bearing temperature measuring point.
The maximum value calculation unit, the maximum value for calculating each bearing temperature measuring point.
The average calculation unit, the average value for calculating each bearing temperature measuring point.
Preferably, referring to Fig. 5, the predetermined threshold value acquisition module includes：Maximum threshold acquiring unit, average value threshold
It is worth acquiring unit and variance threshold values acquiring unit, wherein
The maximum threshold acquiring unit, the average value threshold value acquiring unit and the variance threshold values acquiring unit according to
Secondary connection.
The maximum threshold acquiring unit, the maximum threshold for obtaining each bearing temperature measuring point.
The average value threshold value acquiring unit, the average value threshold value for obtaining each bearing temperature measuring point.
The variance threshold values acquiring unit, the variance threshold values for obtaining each bearing temperature measuring point.
By above technical scheme it is found that this application provides a kind of methods judged extremely for water turbine set bearing temperature
And system, the measured value to be checked of each bearing temperature measuring point is calculated by measured value computing module to be checked, temperature anomaly judgment module will
Measured value to be checked is compared with predetermined threshold value, judges whether any value in measured value to be checked is more than predetermined threshold value, if to be detected
Any value in value is more than predetermined threshold value, then the corresponding bearing temperature of measured value to be checked is abnormal, conversely, the corresponding axis of measured value to be checked
Hold that temperature is normal, the application can judge whether the temperature of each bearing temperature measuring point is abnormal, can timely reflect water wheels
Whether the temperature of unit bearing is abnormal.
It the above is only the specific implementation mode of the application, it is noted that those skilled in the art are come
It says, under the premise of not departing from the application principle, several improvements and modifications can also be made, these improvements and modifications also should be regarded as
The protection domain of the application.
Claims (6)
1. a kind of method judged extremely for water turbine set bearing temperature, which is characterized in that the method includes：
Step S1 obtains the real-time temperature values of each bearing of water turbine set, and the real-time temperature values include all temperature of each bearing
Measuring point；
Step S2 calculates the measured value to be checked of each bearing temperature measuring point, the measured value packet to be checked according to the real-time temperature values of each bearing
Include maximum value, average value and the variance of each bearing temperature measuring point；
Step S3, obtains the predetermined threshold value of each bearing temperature measuring point, and the predetermined threshold value includes maximum threshold, average value threshold value
And variance threshold values；
Step S4 judges whether any value in measured value to be checked is more than predetermined threshold value according to measured value to be checked and predetermined threshold value, if
Any value in measured value to be checked is more than predetermined threshold value, then the corresponding bearing temperature of measured value to be checked is abnormal, conversely, measured value pair to be checked
The bearing temperature answered is normal.
2. the method as described in claim 1, which is characterized in that the real-time temperature values according to each bearing calculate each bearing
The measured value to be checked of temperature point includes：
The variance of each bearing temperature measuring point is calculated according to following formula：
In formula, N indicates the quantity of a certain bearing temperature measuring point of water turbine set, xiIndicate that water turbine set i-th of temperature of a certain bearing is surveyed
The instantaneous value of point,Indicate the arithmetic mean of instantaneous value of all temperature points of a certain bearing of water turbine set；
Calculate the maximum value and average value of each bearing temperature measuring point.
3. the method as described in claim 1, which is characterized in that the predetermined threshold value for obtaining each bearing temperature measuring point includes：
The maximum threshold of each bearing temperature measuring point is obtained, the maximum threshold is that each bearing temperature measuring point is three at least continuous
The maximum value of maximum extreme value month in and month out；
The average value threshold value of each bearing temperature measuring point is obtained, the average value threshold value is that each bearing temperature measuring point is three at least continuous
The maximum value of maximum average value month in and month out；
Obtain the variance threshold values of each bearing temperature measuring point, the variance threshold values be at least continuous three of each bearing temperature measuring point month in and month out
The maximum value of maximum variance.
4. a kind of system judged extremely for water turbine set bearing temperature, which is characterized in that the system comprises：Real time temperature
It is worth acquisition module, measured value computing module to be checked, predetermined threshold value acquisition module and temperature anomaly judgment module, wherein
The real-time temperature values acquisition module, measured value computing module, the predetermined threshold value acquisition module and the temperature to be checked
The abnormal judgment module of degree is sequentially connected；
The real-time temperature values acquisition module, the real-time temperature values for obtaining each bearing of water turbine set；
The measured value computing module to be checked calculates the to be checked of each bearing temperature measuring point for the real-time temperature values according to each bearing
Measured value；
The predetermined threshold value acquisition module, the predetermined threshold value for obtaining each bearing temperature measuring point of water turbine set；
The temperature anomaly judgment module, for judging whether any value in measured value to be checked is more than predetermined threshold value, if to be checked
Any value in measured value is more than predetermined threshold value, then the corresponding bearing temperature of measured value to be checked is abnormal, conversely, measured value to be checked is corresponding
Bearing temperature is normal.
5. system as claimed in claim 4, which is characterized in that the measured value computing module to be checked includes：Variance computing unit,
Maximum value calculation unit and average calculation unit, wherein
The variance computing unit, the maximum value calculation unit and the average calculation unit are sequentially connected；
The variance computing unit, the variance for calculating each bearing temperature measuring point；
The maximum value calculation unit, the maximum value for calculating each bearing temperature measuring point；
The average calculation unit, the average value for calculating each bearing temperature measuring point.
6. system as claimed in claim 4, which is characterized in that the predetermined threshold value acquisition module includes：Maximum threshold obtains
Take unit, average value threshold value acquiring unit and variance threshold values acquiring unit, wherein
The maximum threshold acquiring unit, the average value threshold value acquiring unit and the variance threshold values acquiring unit connect successively
It connects；
The maximum threshold acquiring unit, the maximum threshold for obtaining each bearing temperature measuring point；
The average value threshold value acquiring unit, the average value threshold value for obtaining each bearing temperature measuring point；
The variance threshold values acquiring unit, the variance threshold values for obtaining each bearing temperature measuring point.
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| CN201810189135.5A CN108362497A (en) | 2018-03-08 | 2018-03-08 | A kind of method and system judged extremely for water turbine set bearing temperature |
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| CN201810189135.5A CN108362497A (en) | 2018-03-08 | 2018-03-08 | A kind of method and system judged extremely for water turbine set bearing temperature |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109378943A (en) * | 2018-09-14 | 2019-02-22 | 岭澳核电有限公司 | A kind of motor bearings temperature anomaly processing method of nuclear reactor main pump |
| CN109738217A (en) * | 2018-12-27 | 2019-05-10 | 国家能源投资集团有限责任公司 | Fault determination method, device, storage medium and the electronic device of heating equipment |
| CN111562497A (en) * | 2020-05-30 | 2020-08-21 | 华能澜沧江水电股份有限公司 | Method for detecting poor contact fault of generator stator bar connector |
| CN111608744A (en) * | 2020-07-03 | 2020-09-01 | 神华神东电力有限责任公司 | Turbine bearing temperature protection method and device and electronic equipment |
| CN112180150A (en) * | 2020-09-29 | 2021-01-05 | 山东云海国创云计算装备产业创新中心有限公司 | Multi-point voltage detection method and system of server and related components |
| CN112560339A (en) * | 2020-12-11 | 2021-03-26 | 中国长江电力股份有限公司 | Method for predicting temperature of guide bearing bush of hydroelectric generating set by machine learning |
| CN114088212A (en) * | 2021-11-29 | 2022-02-25 | 浙江天铂云科光电股份有限公司 | Diagnosis method and diagnosis device based on temperature vision |
| CN114876699A (en) * | 2022-06-02 | 2022-08-09 | 湖南江河能源科技股份有限公司 | Method for judging temperature abnormity of water turbine by utilizing big data |
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| CN109378943A (en) * | 2018-09-14 | 2019-02-22 | 岭澳核电有限公司 | A kind of motor bearings temperature anomaly processing method of nuclear reactor main pump |
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| CN112180150A (en) * | 2020-09-29 | 2021-01-05 | 山东云海国创云计算装备产业创新中心有限公司 | Multi-point voltage detection method and system of server and related components |
| CN112560339A (en) * | 2020-12-11 | 2021-03-26 | 中国长江电力股份有限公司 | Method for predicting temperature of guide bearing bush of hydroelectric generating set by machine learning |
| CN112560339B (en) * | 2020-12-11 | 2023-08-18 | 中国长江电力股份有限公司 | Method for predicting guide bearing bush temperature of hydroelectric generating set by utilizing machine learning |
| CN114088212A (en) * | 2021-11-29 | 2022-02-25 | 浙江天铂云科光电股份有限公司 | Diagnosis method and diagnosis device based on temperature vision |
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Application publication date: 20180803 |