CN101697078A - On-line fault diagnosis device and on-line fault diagnosis method of simple-type environmental control system - Google Patents
On-line fault diagnosis device and on-line fault diagnosis method of simple-type environmental control system Download PDFInfo
- Publication number
- CN101697078A CN101697078A CN200910236461A CN200910236461A CN101697078A CN 101697078 A CN101697078 A CN 101697078A CN 200910236461 A CN200910236461 A CN 200910236461A CN 200910236461 A CN200910236461 A CN 200910236461A CN 101697078 A CN101697078 A CN 101697078A
- Authority
- CN
- China
- Prior art keywords
- temperature sensor
- fault
- control system
- environmental control
- temperature
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Landscapes
- Testing And Monitoring For Control Systems (AREA)
- Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
Abstract
The invention discloses an on-line fault diagnosis device of a simple-type environmental control system, which comprises temperature sensors A, B, C and D and a fault display, wherein the temperature sensors A and B are respectively arranged at a hot side inlet and a hot side outlet of a heat exchanger; the temperature sensors C and D are respectively positioned at an inlet and an outlet of a turbine; and the temperature sensors A, B, C and D transmit a measured temperature signal to the fault display. An on-line fault diagnosis method of the simple-type environmental control system comprises the following steps: 1, constructing the on-line fault diagnosis device of the simple-type environmental control system; and 2, establishing and training a BP neural network for fault diagnosis. The diagnosis device and the diagnosis method are mainly applied to the on-line fault diagnosis of the simple-type environmental control system, can diagnose typical faults of the simple-type environmental control system in an on-line mode in the flight process to enable pilots to deal with the faults in time and avoid accidents. The on-line fault diagnosis device has few accessories, simple structure, light weight and convenient installation, and is easy to be installed on the conventional simple-type environmental control system.
Description
Technical field
The present invention relates to a kind of on-line fault diagnosis device and diagnostic method of simple-type environmental control system, belong to the fault diagnosis technology of plane environmental control system.
Background technology
Simple-type environmental control system is a kind of typical fighter plane environmental control system, and its task is exactly the feed air temperature at various flying condition lower adjusting seat cabins or equipment compartment, and the working environment for the pilot creates safety and comfort ensures the airborne equipment reliably working simultaneously.When simple-type environmental control system breaks down, need in time make diagnosis and processing, to improve the reliability of this system, guarantee occupant safety and airborne equipment operate as normal.
Existing environmental control system method for diagnosing faults adopts fault tree analysis more, the former reason of formation that is about to the system failure is overall to partly pressing the dendroid analytical approach of refinement step by step, see from outstanding Tian Xiuyun for details. airplane fault diagnosis and monitoring technique. Beijing: weapon industry publishing house, 2003.People such as pangli duckweed have studied the method for diagnosing faults of heat interchanger in the environmental control system, it adopts the method heat exchanging device of dual model filtering to carry out parameter estimation, status predication and fault diagnosis, see the pangli duckweed for details, Qu Hongquan, Dong Sujun. based on the environmental control system heat interchanger fault diagnosis of dual model filtering algorithm. aviation journal, 2008.People such as Wang Yan big sickle have studied the fault diagnosis technology of turbine, analyzed the vibration characteristic of turbine under the different faults pattern, and the design criteria of avoiding these faults to occur, see the Wang Yan big sickle for details, Wang Honghong. based on the torpedo turbine machine fault diagnosis technology pre-test of vibration analysis. torpedo technique, 2009.Breck has studied the environmental control system fault detection method that carries out parameter recognition based on the model response curve in its paper, see C.S.Breck.Fault Detection for an Aircraft Environmental Control System usingDynamic Principal Component Analysis.Canada:thesis for master degree ofQueen ' s University for details, 2005.Sekhon has studied the failure prediction technology of turbine in its paper, this method is based on the wavelet analysis to acquisition parameter, see R.Sekhon.Real Time Prognostic Strategies:Application to Gas Turebines.U.S.A:thesis for master degree of ClemsonUniversity for details, 2007.
Said method all is that the method for diagnosing faults of environmental control system or its specific features is studied, and does not provide implementation from the simple-type environmental control system angle of reality, and the fault diagnosis effect is not good enough.
Summary of the invention
The objective of the invention is in order to address the above problem, a kind of on-line fault diagnosis device and diagnostic method of simple-type environmental control system are proposed, method for diagnosing faults of the present invention is based on the BP nerual network technique, on the basis of gathering the simple-type environmental control system characteristic parameter, utilize the different faults pattern of BP neural network mapped system, realize fault diagnosis.
The on-line fault diagnosis device of a kind of simple-type environmental control system of the present invention, described device is connected with airborne computer, and the on-line fault diagnosis device comprises temperature sensor A, temperature sensor B, temperature sensor C, temperature sensor D and fault detector;
Temperature sensor A, temperature sensor B place the hot limit inlet and the outlet of hot limit of heat interchanger respectively, temperature sensor C, temperature sensor D lay respectively at the entrance and exit of turbine, and temperature sensor A, temperature sensor B, temperature sensor C, temperature sensor D send the temperature signal that records to fault detector;
Fault detector carries out fault diagnosis, obtains fault data, and the display system fault, and fault detector and airborne computer carry out message exchange.
The on-line fault diagnosis method of a kind of simple-type environmental control system of the present invention may further comprise the steps:
Step 1: the on-line fault diagnosis device of building simple-type environmental control system;
Fault detector comprises communication module, temperature collect module, single-chip microcomputer, digital display module, memory module and digital indicator; The temperature signal that temperature collect module collecting temperature sensor records, and send temperature signal to single-chip microcomputer, single-chip microcomputer carries out fault diagnosis, obtain fault data, fault data stores memory module into, simultaneously, fault data sends the digital display module to, the digital display module connects digital indicator, after the digital display module is received fault data, digital indicator display system malfunction, communication module is used for single-chip microcomputer and airborne computer carries out exchange message, on the temperature collect module of fault detector, connect temperature sensor A, temperature sensor B, temperature sensor C, temperature sensor D, the on-line fault diagnosis device of formation simple-type environmental control system;
Step 2: set up and training BP neural network, carry out fault diagnosis;
With the import and export temperature drop of the hot limit temperature drop of heat interchanger and turbine as the failure message value;
Heat interchanger and turbine efficiency value separately as the fault signature value, when the fault signature value is lower than the a% of normal efficiency value, are judged that heat interchanger or turbine break down, and its failure state value is designated as 1; Otherwise think that heat interchanger and turbine still can finish function separately, do not break down that its failure state value is designated as 0, wherein the numerical value that is provided with voluntarily for the user of a;
According to the different faults state of heat interchanger and turbine, simple-type environmental control system is divided into four kinds of malfunctions: [0,0] expression heat interchanger and the equal non-fault of turbine; [1,0] expression heat interchanger fault, the turbine non-fault; [0,1] expression heat interchanger 1 non-fault, turbine failure; [1,1] expression heat interchanger and the equal fault of turbine;
The malfunction different according to simple-type environmental control system writes down the hot limit temperature drop of heat interchanger and the import and export temperature drop of turbine, obtains the training sample of a plurality of BP neural networks;
The hot limit temperature drop of heat interchanger and the import and export temperature drop of turbine are as the input of BP neural network, the simple-type environmental control system malfunction is as the output of BP neural network, utilize training sample training BP neural network, in the single-chip microcomputer of the BP neural network Write fault display after training is finished;
By the temperature signal that temperature sensor A, temperature sensor B, temperature sensor C, temperature sensor D measure, single-chip microcomputer is made fault diagnosis, obtains malfunction, and shows the simple-type environmental control system fault on fault detector.
The invention has the advantages that:
(1) the present invention is mainly used in the on-line fault diagnosis of simple-type environmental control system, can be in flight course the typical fault of inline diagnosis simple-type environmental control system, in time handle it for the pilot, avoid accident to take place;
(2) few, simple in structure, the light weight of device fitting of the present invention, and easy for installation, be convenient on existing simple-type environmental control system, install.
Description of drawings
Fig. 1 is the connection diagram of the on-line fault diagnosis device of a kind of simple-type environmental control system of the present invention;
Fig. 2 is the connection diagram of fault detector of the present invention;
Fig. 3 is the process flow diagram of the on-line fault diagnosis method of a kind of simple-type environmental control system of the present invention.
Among the figure:
1-heat interchanger 2-turbine 3-memory module 4-temperature sensor A
5-temperature sensor B 6-temperature sensor C 7-temperature sensor D 8-fault detector
9-digital indicator 10-airborne computer 11-communication module 12-temperature collect module
13-single-chip microcomputer 14-digital display module
Embodiment
The present invention is described in further detail below in conjunction with drawings and Examples.
The present invention is a kind of on-line fault diagnosis device of simple-type environmental control system, described device is connected with airborne computer 10, as shown in Figure 1, the on-line fault diagnosis device comprises temperature sensor A4, temperature sensor B5, temperature sensor C6, temperature sensor D7 and fault detector 8.
Described temperature sensor A4, temperature sensor B5, temperature sensor C6, temperature sensor D7 adopt triumphant dress platinum sensor, temperature sensor A4, temperature sensor B5 place the hot limit inlet and the outlet of hot limit of heat interchanger 1 respectively, temperature sensor C6, temperature sensor D7 lay respectively at the entrance and exit of turbine 2, and temperature sensor A4, temperature sensor B5, temperature sensor C6, temperature sensor D7 send the temperature signal that records to fault detector 8.
As shown in Figure 2, fault detector 8 comprises communication module 11, temperature collect module 12, single-chip microcomputer 13, digital display module 14, memory module 3 and digital indicator 9.
The temperature signal that temperature collect module 12 collecting temperature sensors A 4, temperature sensor B 5, temperature sensor C6, temperature sensor D7 record, and send temperature signal to single-chip microcomputer 13, single-chip microcomputer 13 carries out fault diagnosis, obtain fault data, fault data stores memory module 3 into, simultaneously, fault data sends digital display module 14 to, digital display module 14 connects digital indicator 9, after digital display module 14 is received fault data, digital indicator 9 display system malfunctions, communication module 11 are used for single-chip microcomputer 13 and carry out message exchange with airborne computer 10.
The present invention is a kind of on-line fault diagnosis method of simple-type environmental control system, and flow process may further comprise the steps as shown in Figure 3:
Step 1: the on-line fault diagnosis device of building simple-type environmental control system;
Fault detector 8 comprises communication module 11, temperature collect module 12, single-chip microcomputer 13, digital display module 14, memory module 3 and digital indicator 9.The temperature signal that temperature collect module 12 collecting temperature sensors record, and send temperature signal to single-chip microcomputer 13, single-chip microcomputer 13 carries out fault diagnosis, obtain fault data, fault data stores memory module 3 into, simultaneously, fault data sends digital display module 14 to, digital display module 14 connects digital indicator 9, after digital display module 14 is received fault data, digital indicator 9 display system malfunctions, communication module 11 is used for single-chip microcomputer 13 and carries out exchange message with airborne computer 10, on the temperature collect module 12 of fault detector 8, connect temperature sensor A4, temperature sensor B5, temperature sensor C6, temperature sensor D7, the on-line fault diagnosis device of formation simple-type environmental control system.
Step 2: set up and training BP neural network, carry out fault diagnosis.
With the import and export temperature drop of the hot limit temperature drop of heat interchanger 1 and turbine 2 as the failure message value;
Heat interchanger 1 and turbine 2 efficiency value separately as the fault signature value, when the fault signature value is lower than the a% of normal efficiency value, are judged that heat interchanger 1 or turbine 2 break down, and its failure state value is designated as 1; Otherwise think that heat interchanger 1 and turbine 2 still can finish function separately, do not break down that its failure state value is designated as 0, wherein the numerical value that is provided with voluntarily for the user of a generally gets 60～80.
According to the different faults state of heat interchanger 1 and turbine 2, simple-type environmental control system is divided into four kinds of malfunctions: [0,0] expression heat interchanger 1 and turbine 2 equal non-fault; [1,0] expression heat interchanger 1 fault, turbine 2 non-fault; [0,1] expression heat interchanger 1 non-fault, turbine 2 faults; [1,1] expression heat interchanger 1 and turbine 2 equal faults.
The malfunction different according to simple-type environmental control system writes down the hot limit temperature drop of heat interchanger 1 and the import and export temperature drop of turbine 2, obtains the training sample of a plurality of BP neural networks.
The hot limit temperature drop of heat interchanger 1 and the import and export temperature drop of turbine 2 are as the input of BP neural network, the simple-type environmental control system malfunction is as the output of BP neural network, utilize training sample training BP neural network, in the single-chip microcomputer 13 of the BP neural network Write fault display 8 after training is finished.
By the temperature signal that temperature sensor A4, temperature sensor B5, temperature sensor C6, temperature sensor D7 measure, single-chip microcomputer 13 is made fault diagnosis, obtains malfunction, and shows the simple-type environmental control system fault on fault detector 8.
Claims (4)
1. the on-line fault diagnosis device of a simple-type environmental control system, described device is connected with airborne computer, it is characterized in that the on-line fault diagnosis device comprises temperature sensor A, temperature sensor B, temperature sensor C, temperature sensor D and fault detector;
Temperature sensor A, temperature sensor B place the hot limit inlet and the outlet of hot limit of heat interchanger respectively, temperature sensor C, temperature sensor D lay respectively at the entrance and exit of turbine, and temperature sensor A, temperature sensor B, temperature sensor C, temperature sensor D send the temperature signal that records to fault detector;
Fault detector carries out fault diagnosis, obtains fault data, and the display system fault, and fault detector and airborne computer carry out exchange message.
2. the on-line fault diagnosis device of a kind of simple-type environmental control system according to claim 1 is characterized in that, described temperature sensor A, temperature sensor B, temperature sensor C, temperature sensor D are triumphant dress platinum sensor.
3. the on-line fault diagnosis device of a kind of simple-type environmental control system according to claim 1 is characterized in that, described fault detector comprises communication module, temperature collect module, single-chip microcomputer, digital display module, memory module and digital indicator; The temperature signal that temperature collect module collecting temperature sensors A, temperature sensor B, temperature sensor C, temperature sensor D record, and send temperature signal to single-chip microcomputer, single-chip microcomputer carries out fault diagnosis, obtain fault data, fault data stores memory module into, simultaneously, fault data sends the digital display module to, the digital display module connects digital indicator, after the digital display module is received fault data, digital indicator display system malfunction, communication module are used for single-chip microcomputer and airborne computer carries out message exchange.
4. the on-line fault diagnosis method of a simple-type environmental control system is characterized in that, may further comprise the steps:
Step 1: the on-line fault diagnosis device of building simple-type environmental control system;
Fault detector comprises communication module, temperature collect module, single-chip microcomputer, digital display module, memory module and digital indicator; The temperature signal that temperature collect module collecting temperature sensor records, and send temperature signal to single-chip microcomputer, single-chip microcomputer carries out fault diagnosis, obtain fault data, fault data stores memory module into, simultaneously, fault data sends the digital display module to, the digital display module connects digital indicator, after the digital display module is received fault data, digital indicator display system malfunction, communication module is used for single-chip microcomputer and airborne computer carries out exchange message, on the temperature collect module of fault detector, connect temperature sensor A, temperature sensor B, temperature sensor C, temperature sensor D, the on-line fault diagnosis device of formation simple-type environmental control system;
Step 2: set up and training BP neural network, carry out fault diagnosis;
With the import and export temperature drop of the hot limit temperature drop of heat interchanger and turbine as the failure message value;
Heat interchanger and turbine efficiency value separately as the fault signature value, when the fault signature value is lower than the a% of normal efficiency value, are judged that heat interchanger or turbine break down, and its failure state value is designated as 1; Otherwise think that heat interchanger and turbine still can finish function separately, do not break down that its failure state value is designated as 0, wherein the numerical value that is provided with voluntarily for the user of a;
According to the different faults state of heat interchanger and turbine, simple-type environmental control system is divided into four kinds of malfunctions: [0,0] expression heat interchanger and the equal non-fault of turbine; [1,0] expression heat interchanger fault, the turbine non-fault; [0,1] expression heat interchanger 1 non-fault, turbine failure; [1,1] expression heat interchanger and the equal fault of turbine;
The malfunction different according to simple-type environmental control system writes down the hot limit temperature drop of heat interchanger and the import and export temperature drop of turbine, obtains the training sample of a plurality of BP neural networks;
The hot limit temperature drop of heat interchanger and the import and export temperature drop of turbine are as the input of BP neural network, the simple-type environmental control system malfunction is as the output of BP neural network, utilize training sample training BP neural network, in the single-chip microcomputer of the BP neural network Write fault display after training is finished;
By the temperature signal that temperature sensor A, temperature sensor B, temperature sensor C, temperature sensor D measure, single-chip microcomputer is made fault diagnosis, obtains malfunction, and shows the simple-type environmental control system fault on fault detector.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2009102364618A CN101697078B (en) | 2009-10-22 | 2009-10-22 | On-line fault diagnosis device and on-line fault diagnosis method of simple-type environmental control system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2009102364618A CN101697078B (en) | 2009-10-22 | 2009-10-22 | On-line fault diagnosis device and on-line fault diagnosis method of simple-type environmental control system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN101697078A true CN101697078A (en) | 2010-04-21 |
| CN101697078B CN101697078B (en) | 2011-11-16 |
Family
ID=42142185
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2009102364618A Expired - Fee Related CN101697078B (en) | 2009-10-22 | 2009-10-22 | On-line fault diagnosis device and on-line fault diagnosis method of simple-type environmental control system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN101697078B (en) |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102789229A (en) * | 2012-08-08 | 2012-11-21 | 南车株洲电力机车有限公司 | Method and system for diagnosing locomotive fault |
| CN103625650A (en) * | 2012-08-21 | 2014-03-12 | 贝尔直升机德事隆公司 | Aircraft environmental sensors and system |
| CN104536292A (en) * | 2014-12-05 | 2015-04-22 | 北京航空航天大学 | Method for conducting fault diagnosis on heat exchanger of aircraft environmental control system based on STF (Strong Tracking Filter) and MB |
| CN104732276A (en) * | 2015-03-18 | 2015-06-24 | 国家电网公司 | On-line diagnosing method for faults of metering production facility |
| US9689790B2 (en) | 2012-07-05 | 2017-06-27 | Honeywell International Inc. | Environmental control systems and techniques for monitoring heat exchanger fouling |
| CN108760813A (en) * | 2018-06-05 | 2018-11-06 | 哈尔滨工程大学 | A kind of turbine blade of gas turbine health monitoring systems and method based on temperature signal |
| CN109726505A (en) * | 2019-01-14 | 2019-05-07 | 哈尔滨工程大学 | A kind of forging machine tool main drive gear fault diagnosis system based on intelligent trouble tree |
| CN112462735A (en) * | 2020-11-11 | 2021-03-09 | 中国电子科技集团公司第二十九研究所 | Universal automatic test system for environment control unit |
| CN112834079A (en) * | 2020-12-25 | 2021-05-25 | 山东朗进科技股份有限公司 | Method for judging parameter drift of temperature sensor of air conditioning unit of railway vehicle |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN100492235C (en) * | 2006-01-13 | 2009-05-27 | 清华大学 | Fuel cell distribution type control system control method based on finite state machine |
| CN100468263C (en) * | 2007-09-05 | 2009-03-11 | 东北大学 | Continuous miner remote real-time failure forecast and diagnosis method and device |
| CN100562821C (en) * | 2007-11-28 | 2009-11-25 | 蓝星（天津）化工有限公司 | A kind of quantitative car loading numeral control method |
-
2009
- 2009-10-22 CN CN2009102364618A patent/CN101697078B/en not_active Expired - Fee Related
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9689790B2 (en) | 2012-07-05 | 2017-06-27 | Honeywell International Inc. | Environmental control systems and techniques for monitoring heat exchanger fouling |
| CN102789229A (en) * | 2012-08-08 | 2012-11-21 | 南车株洲电力机车有限公司 | Method and system for diagnosing locomotive fault |
| CN103625650A (en) * | 2012-08-21 | 2014-03-12 | 贝尔直升机德事隆公司 | Aircraft environmental sensors and system |
| CN103625650B (en) * | 2012-08-21 | 2016-08-10 | 贝尔直升机德事隆公司 | Aircraft environment sensor and system |
| CN104536292A (en) * | 2014-12-05 | 2015-04-22 | 北京航空航天大学 | Method for conducting fault diagnosis on heat exchanger of aircraft environmental control system based on STF (Strong Tracking Filter) and MB |
| CN104732276B (en) * | 2015-03-18 | 2017-09-15 | 国家电网公司 | One kind metering production facility on-line fault diagnosis method |
| CN104732276A (en) * | 2015-03-18 | 2015-06-24 | 国家电网公司 | On-line diagnosing method for faults of metering production facility |
| CN108760813A (en) * | 2018-06-05 | 2018-11-06 | 哈尔滨工程大学 | A kind of turbine blade of gas turbine health monitoring systems and method based on temperature signal |
| CN108760813B (en) * | 2018-06-05 | 2020-09-25 | 哈尔滨工程大学 | Gas turbine blade health monitoring system and method based on temperature signals |
| CN109726505A (en) * | 2019-01-14 | 2019-05-07 | 哈尔滨工程大学 | A kind of forging machine tool main drive gear fault diagnosis system based on intelligent trouble tree |
| CN112462735A (en) * | 2020-11-11 | 2021-03-09 | 中国电子科技集团公司第二十九研究所 | Universal automatic test system for environment control unit |
| CN112834079A (en) * | 2020-12-25 | 2021-05-25 | 山东朗进科技股份有限公司 | Method for judging parameter drift of temperature sensor of air conditioning unit of railway vehicle |
| CN112834079B (en) * | 2020-12-25 | 2023-10-24 | 山东朗进科技股份有限公司 | Parameter drift judging method for temperature sensor of air conditioning unit of railway vehicle |
Also Published As
| Publication number | Publication date |
|---|---|
| CN101697078B (en) | 2011-11-16 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101697078B (en) | On-line fault diagnosis device and on-line fault diagnosis method of simple-type environmental control system | |
| CN107168205B (en) | A kind of online health monitoring data collection and analysis method of civil aircraft air-conditioning system | |
| CN104149988B (en) | The method for diagnosing bleed air system failure | |
| EP3108314B1 (en) | Method for diagnosing a fault in an air-conditioning pack of an aircraft | |
| US10431019B2 (en) | Health monitoring of an actuator in a flying device | |
| CN103671190B (en) | The early stage mine fan online system failure diagnosis of a kind of intelligence | |
| CN102681527B (en) | For monitoring the system of the flight control actuators of aircraft, method and aircraft | |
| CN105741381B (en) | A kind of method that determining aircraft flies ginseng recording parameters set | |
| CN113053171B (en) | Civil aircraft system risk early warning method and system | |
| CN107807628B (en) | Performance degradation evaluation method for heat exchanger of civil aircraft air conditioning system | |
| CN106662866A (en) | Method for diagnosing a fault in a cabin temperature control system of an aircraft | |
| CN105487530B (en) | The low failure prediction system of diesel engine row's temperature and method | |
| CN103728965A (en) | Monitoring device and method for aircraft engine and FADEC system | |
| CN107272653A (en) | A kind of flight control system method for diagnosing faults | |
| CN103914044A (en) | Intelligent online monitoring protection device | |
| EP3719602A1 (en) | Pattern classification system with smart data collection for environmental control system fault isolation | |
| CN110568792A (en) | Device and method for monitoring comfort of vibration noise of ocean platform | |
| RU2598497C2 (en) | Aircraft control and monitoring system | |
| CN115133874A (en) | Unmanned aerial vehicle linkage inspection photovoltaic power station fault detection method and system | |
| CN111580498A (en) | Aircraft environmental control system air cooling equipment robust fault diagnosis method based on random forest | |
| CN110243497A (en) | A kind of sensor fault diagnosis method and system based on principal component analysis | |
| CN103091108A (en) | Vibration detecting system used for aircraft engine | |
| CN104200109A (en) | Urban rail vehicle air conditioner system fault diagnosis method and device | |
| CN106093806A (en) | Helicopter AC power-supply system detection device | |
| CN107860420A (en) | A kind of large and complex structure health monitoring systems based on multi-main body cooperation |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| C17 | Cessation of patent right | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20111116 Termination date: 20121022 |