CN103197162A - Multiple switch parameter fault diagnosis method based on template matching - Google Patents

Multiple switch parameter fault diagnosis method based on template matching Download PDF

Info

Publication number
CN103197162A
CN103197162A CN2012100004003A CN201210000400A CN103197162A CN 103197162 A CN103197162 A CN 103197162A CN 2012100004003 A CN2012100004003 A CN 2012100004003A CN 201210000400 A CN201210000400 A CN 201210000400A CN 103197162 A CN103197162 A CN 103197162A
Authority
CN
China
Prior art keywords
state
template
equipment
conversion
sequential
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
Application number
CN2012100004003A
Other languages
Chinese (zh)
Other versions
CN103197162B (en
Inventor
蔡伟
孙凌逸
杨志勇
张金玉
黄先祥
高钦和
戴民强
张志永
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
No2 Inst Of Artillery Engineering Cpla
Original Assignee
No2 Inst Of Artillery Engineering Cpla
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by No2 Inst Of Artillery Engineering Cpla filed Critical No2 Inst Of Artillery Engineering Cpla
Priority to CN201210000400.3A priority Critical patent/CN103197162B/en
Publication of CN103197162A publication Critical patent/CN103197162A/en
Application granted granted Critical
Publication of CN103197162B publication Critical patent/CN103197162B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Abstract

The invention relates to a multiple switch parameter fault diagnosis method based on template matching. A plurality of switch state parameters when a detected device runs normally are used for generating a state conversion table independent of time and a standard timing sequence conversion table which are divided into a state template and a timing sequence template; switch state parameters when the device runs actually are measured in real time, and an actual state conversion table and an actual timing sequence conversion table are generated; and the actual state conversion table is compared with the state template, the actual timing sequence conversion table is compared with the timing sequence template, state error or timing sequence error is obtained, and then a fault happening to the device is judged. Compared with the prior art, the method not only changes the current situation that fault diagnosis of two types of the switch parameters can only be carried out one to one, but also can solve problems occurring in the state combination of a plurality of switch parameter signals of various devices which are higher and higher in integration level, wherein flexible generation can be realized according to actual devices, has a wide range of application, and is particularly suitable for being used by front-line operators.

Description

A kind of many switches parameter method for diagnosing faults based on template matches
Technical field
The present invention relates to fault diagnosis technology, particularly a kind of many switches parameter method for diagnosing faults based on template matches.
Background technology
In fields such as commercial production, space flight and national defence, along with many equipment progressively tend to maximization and complicated, the possibility that fault takes place also increases thereupon.The fault of the state of monitoring equipment operation, diagnostic device generation rapidly and accurately is the key point that support equipment safe operation, assurance task are finished smoothly effectively.
State parameter when existing monitoring method is generally moved by real-time measuring equipment is analyzed the apparatus characteristic information that wherein comprises, and then according to certain Fault Diagnosis Strategy, the state that judgment device is current is to realize the fault diagnosis to equipment.
Switching value is the main type in the equipment state parameter, and it refers to only to have out in the equipment and close or the parametric type of 1 and 0 two states, as the output of limit switch, rotary switch, temperature switch, various button, relay.Switching value can be divided into following two kinds: break-make type (passive) switching value, the various switches of reflection controlled device and the switching state of contact; Level type (active) switching value, the height state of reflection logic level.But, in the prior art, can only be man-to-man carrying out for the fault diagnosis of these two types of switching values, and the problem that occurs for the combinations of states of a plurality of switching value signals of the more and more higher various device of integrated level be helpless.
Summary of the invention
At above-mentioned the problems of the prior art, the objective of the invention is to a plurality of switching value information by equipment, a kind of method for diagnosing faults of the many switches parameter based on template matches is provided.
Now design of the present invention and technical solution are described below:
The combinations of states of a plurality of switching value signals has directly reflected duty and the failure message of equipment, and the switching value signal is easy to measure in addition, and therefore the accuracy height becomes the important evidence in the Equipment Inspection diagnosis.The method for diagnosing faults of a kind of many switches parameter based on template matches of the present invention is characterized in that: may further comprise the steps:
Step 1: by the principle of work of analytical equipment, the change procedure of a plurality of switching values when perhaps normally moving by actual measurement equipment, perhaps two kinds of methods are combined, obtain the switching value state variation data under the equipment normal running (operation) conditions, obtain normal switching value state variation sequential chart;
Step 2: utilize normal switching value state variation sequential chart to carry out structure of transvers plate, generate state transition table and the sequential conversion table of standard, i.e. state template and sequential template;
Step 3: the real-time switching value delta data during the measuring equipment actual motion, obtain actual state variation sequential chart, generate actual state transition table and sequential conversion table;
Step 4: the state transition table of reality and state template are carried out the state comparison, and the sequential conversion table of reality is carried out duration with the sequential template compare, draw state error or time, and then the fault that takes place of the equipment of judging.
Step 5: according to the fault that step 4 is judged, further carry out the diagnosis of fault type.
The present invention further provides a kind of method for diagnosing faults of the many switches parameter based on template matches, it is characterized in that: the acquisition methods of switching value state variation data is specially in the described step 1:
Step 1.1: by the analytical equipment principle of work, state and the switching time of switching value when the equipment that draws normally moves; Or state and switching time of switching value when utilizing the equipment monitoring system measuring equipment normally to move: or two kinds of methods are combined.
Step 1.2: establishing equipment under test has n switching value, the state k of each switching value iExpression, k iBe defined as follows:
Figure BSA00000648855700021
i=1,2,...n
Step 1.3: the synthetic set K of the state group of n switching value, K={k 1, k 2..., k n; K as one on the whole, then a certain value representative equipment of K is in a specific state; When the state of certain or some switching values at a time changes, claim that conversion has taken place equipment state.Suppose that initial time is t 0, this moment, facility switching amount state was
Figure BSA00000648855700022
Wherein subscript T representing matrix or the vector transposition; State conversion for the first time occurs in t 1Constantly, Ci Shi facility switching amount state is
Figure BSA00000648855700023
And the like, the conversion of q next state occurs in t qConstantly, Ci Shi facility switching amount state is
Figure BSA00000648855700024
Ordered sets T when all switching value conversions constantly constitute one in the equipment normal course of operation, T={t 1, t 2..., t q.
The present invention further provides a kind of method for diagnosing faults of the many switches parameter based on template matches, it is characterized in that: the building method of the state template in the described step 2 and sequential template is specially:
Step 2.1: the building method of state template: all switching value state sets in the equipment normal course of operation are arranged, obtained the matrix [K of a n * (q+1) 0, K 1..., K q], wherein (q+1) refers to comprise original state and the conversion of q next state, the state transition table of the corresponding standard of the numerical value of each element, i.e. state template in this matrix;
Step 2.2: sequential structure of transvers plate method:: the initial time t when utilizing equipment normally to move 0With the time ordered sets T obtain the duration of each next state conversion of equipment, state is changed duration carries out one dimension and arrange, generate the sequential conversion table of standard, i.e. the sequential template.The present invention further provides a kind of method for diagnosing faults of the many switches parameter based on template matches, it is characterized in that: in the described step 3 the generation method of state transition table and sequential conversion table with step 1 and step 2, the measured data when the on off state delta data that different is in this step is the equipment operation.
The present invention further provides a kind of method for diagnosing faults of the many switches parameter based on template matches, it is characterized in that: the diagnosis of the fault type in the described step 5 " draw state error or time; and then the fault that takes place of the equipment of judging ", its fault can be divided into three major types to be diagnosed, and below is three class faults and corresponding diagnostic method:
1, the state conversion times of equipment operation breaks down.Virtual condition conversion table and the state template of equipment running process are carried out the conversion times comparison, if unnecessary state conversion, has appearred more than the conversion times of state template in the actual converted number of times in the devices illustrated operational process; If the actual converted number of times is less than the conversion times of state template, due state conversion does not appear in devices illustrated operational process middle part switch-dividing.When conversion times not simultaneously, can find inconsistent place fast by template translation contrast, find out trouble unit rapidly;
2, the state conversion times of equipment operation is correct, but transformation result breaks down.On the virtual condition conversion table of the equipment running process basis identical with the conversion times of state template, it is right that virtual condition conversion table and state template are carried out numeric ratio, if numerical value does not match, then an explanation corresponding switching value that do not match breaks down;
3, the state conversion of equipment operation is correct, but the sequential conversion is broken down.On the correct basis of equipment state conversion, it is right that the actual sequential conversion table of equipment entire work process and sequential template are carried out numeric ratio, if the conversion of the state in the actual sequential conversion table moment mates constantly with the conversion in the sequential template, show that the equipment operation is normal; Otherwise devices illustrated breaks down, and at this moment, can determine the time of occurrence of equipment failure constantly fast by the conversion that equipment breaks down, and then analyze the origin cause of formation of determining fault.
Description of drawings
Fig. 1 fault diagnosis principle of the present invention and method figure.
Fig. 2 switching value state variation sequential chart.
Fig. 3 state template.
Fig. 4 sequential template.
The switching value state variation sequential chart of the normal operation of Fig. 5 application example equipment of the present invention
The state template of the normal operation of Fig. 6 application example equipment of the present invention
The sequential template of the normal operation of Fig. 7 application example equipment of the present invention
The switching value state variation sequential chart of Fig. 8 application example state of the present invention conversion times fault
The state transition table of Fig. 9 application example state of the present invention conversion times fault
The sequential conversion table of Figure 10 application example state of the present invention conversion times fault
The switching value state variation sequential chart of Figure 11 application example state of the present invention transformation result fault
The state transition table of Figure 12 application example state of the present invention transformation result fault
The sequential conversion table of Figure 13 application example state of the present invention transformation result fault
Embodiment
The present invention will be further described in detail below in conjunction with drawings and Examples.
As shown in Figure 1, at first utilize the normal switching value state variation of equipment data to obtain normal switching value state variation sequential chart, carry out structure of transvers plate then, state template and sequential template when generating the equipment normal condition, this is the basis of diagnosis; Utilize the switching value state variation data of real-time measuring equipment operation to generate actual state transition table and sequential conversion table; Compare the state of judgment device at last by state comparison and duration, when the state transition table of reality and state template go out that present condition does not match or sequential conversion table and sequential template when sequential occurring and not matching, can judge that a corresponding measured data that do not match is fault data, equipment is in malfunction.
As shown in Figure 2, switching value state variation sequential chart: vertically represent n switching value of equipment under test from top to bottom successively, the two states of numerical value 1 and 0 representation switch amount; Be time shaft laterally, indicate the q next state conversion that takes place in the equipment running process.
As shown in Figure 3, state template: be two-dimentional unit grids, vertically represent n switching value from top to bottom successively, laterally represent each next state conversion, the numerical value 1 in the unit lattice and 0 represents the two states of switch between twice adjacent conversion.
As shown in Figure 4, the sequential template: be one dimension rectangle grid, the numerical value in the pane is directly proportional with the width of pane, represents the time interval between the adjacent two next states conversion.
Embodiment
Equipment in the present embodiment has 3 switching values, i.e. n=3, specifically implementation step:
Step 1: by the principle of work of analytical equipment, the switching value state variation sequential chart when acquisition equipment normally moves, as shown in Figure 5;
Step 2: occur 7 next states conversions as shown in Figure 5 in the equipment normal course of operation altogether, i.e. q=7, original state set K 0={ 0,0,1} T, the switching value state set after each time conversion is respectively K 1={ 1,1,1} T, K 2={ 0,1,0} T, K 3={ 0,0,0} T, K 4={ 1,0,0} T, K 5={ 0,1,1} T, K 6={ 1,0,0} T, K 7={ 1,1,0} TOrdered sets T:{3 when the conversion of all switching value states constitutes constantly in the equipment normal course of operation, 5,7,9,11,16,20}, and t 0=0, the interval duration of state conversion is respectively 3,2,2,2,2,5,4.Switching value state set when equipment is normally moved is arranged, and obtains one 3 * (7+1) matrix [K 0, K 1..., K 7], i.e. state template (Fig. 6); State conversion interval duration is carried out one dimension arrange, generate the sequential conversion table of standard, i.e. sequential template (Fig. 7);
Step 3: the switching value state variation data of measuring equipment operation in real time, the switching value state variation sequential chart when obtaining the equipment actual motion, as shown in Figure 8;
Step 4: state transition table (Fig. 9) and sequential conversion table (Figure 10) when obtaining the equipment operation with step 2;
Step 5: state transition table (Fig. 9) and the state template (Fig. 6) of reality are carried out conversion times (being horizontal unit lattice number) comparison, the discovery conversion times is incorrect, actual lattice number is less than template lattice number, shows to have occurred first kind fault in the equipment running process, i.e. state conversion times fault.By template translation contrast, find switch k 2State value and state template do not match, show equipment when operation switch k 2Break down.
Step 6: facility switching k 2Fault get rid of after, remeasure the switching value state variation data of equipment operation, the switching value state variation sequential chart the during operation of acquisition equipment, as shown in figure 11;
Step 7: with step 2, state transition table (Figure 12) and sequential conversion table (Figure 13) when obtaining the equipment operation;
Step 8: state transition table (Figure 12) and the state template (Fig. 6) of reality are carried out conversion times (being horizontal unit lattice number) comparison, and the Discovery Status conversion times is correct, gets rid of first kind fault.It is right virtual condition conversion table (Figure 12) and state template (Fig. 6) to be carried out numeric ratio again, finds switch k 1Corresponding status values and state template do not match, and switch k then is described 1The second class fault has appearred, i.e. state transformation result fault;
Step 9: to the switch k of equipment 1Carry out fault and get rid of, the switching value state variation data of measuring equipment operation again, the switching value state variation sequential chart the during operation of acquisition equipment;
Step 10: state transition table and sequential conversion table when obtaining the equipment operation with step 2;
Step 11: state transition table and the state template (Fig. 6) of reality are compared, and Discovery Status conversion times and state transformation result are all correct, show that the state conversion of equipment operation is correct, get rid of one, two class faults.It is right that the sequential conversion table of equipment entire work process and sequential template (Fig. 7) are carried out numeric ratio, the interval duration of finding the conversion of the 6th next state is respectively 5 and 1, big deviation appears in the sequential conversion, and the 3rd class fault, i.e. state conversion timing sequence fault take place devices illustrated.

Claims (8)

1. many switches parameter method for diagnosing faults based on template matches is characterized in that: may further comprise the steps:
Step 1: by the principle of work of analytical equipment, the change procedure of a plurality of switching values when perhaps normally moving by actual measurement equipment, perhaps two kinds of methods are combined, obtain the switching value state variation data under the equipment normal running (operation) conditions, obtain normal switching value state variation sequential chart;
Step 2: utilize normal switching value state variation sequential chart to carry out structure of transvers plate, generate state transition table and the sequential conversion table of standard, i.e. state template and sequential template;
Step 3: the real-time switching value delta data during the measuring equipment actual motion, obtain actual state variation sequential chart, generate actual state transition table and sequential conversion table;
Step 4: the state transition table of reality and state template are carried out the state comparison, and the sequential conversion table of reality is carried out duration with the sequential template compare, draw state error or time, and then the fault that takes place of the equipment of judging.
Step 5: according to the fault that step 4 is judged, further carry out the diagnosis of fault type.
2. the method for diagnosing faults of a kind of many switches parameter based on template matches according to claim 1, it is characterized in that: the acquisition methods of switching value state variation data is specially in the described step 1:
Step 1.1: by the analytical equipment principle of work, state and the switching time of switching value or the state of switching value and switching time or two kinds of methods are combined when utilizing the equipment monitoring system measuring equipment normally to move when the equipment that draws normally moves;
Step 1.2: establishing equipment under test has n switching value, the state k of each switching value iExpression, k iBe defined as follows:
Figure FSA00000648855600011
i=1,2,...n
Step 1.3: the synthetic set K of the state group of n switching value, K={k 1, k 2..., k n; K as one on the whole, then a certain value representative equipment of K is in a specific state; When the state of certain or some switching values at a time changes, claim that conversion has taken place equipment state.Suppose that initial time is t 0, this moment, facility switching amount state was
Figure FSA00000648855600012
Wherein subscript T representing matrix or the vector transposition; State conversion for the first time occurs in t 1Constantly, Ci Shi facility switching amount state is
Figure FSA00000648855600013
And the like, the conversion of q next state occurs in t qConstantly, Ci Shi facility switching amount state is
Figure FSA00000648855600014
Ordered sets T when all switching value conversions constantly constitute one in the equipment normal course of operation, T={t 1, t 2..., t q.
3. the method for diagnosing faults of a kind of many switches parameter based on template matches according to claim 1, it is characterized in that: the building method of the state template in the described step 2 and sequential template is specially:
Step 2.1: the building method of state template: all switching value state sets in the equipment normal course of operation are arranged, obtained the matrix [K of a n * (q+1) 0, K 1..., K q], wherein (q+1) refers to comprise original state and the conversion of q next state, the state transition table of the corresponding standard of the numerical value of each element, i.e. state template in this matrix;
Step 2.2: sequential structure of transvers plate method:: the initial time t when utilizing equipment normally to move 0With the time ordered sets T obtain the duration of each next state conversion of equipment, state is changed duration carries out one dimension and arrange, generate the sequential conversion table of standard, i.e. the sequential template.
4. according to the method for diagnosing faults of the arbitrary described a kind of many switches parameter based on template matches of claim 1~3, it is characterized in that: in the described step 3 the generation method of state transition table and sequential conversion table with step 1 and step 2, the measured data when the on off state delta data that different is in this step is the equipment operation.
5. the method for diagnosing faults of a kind of many switches parameter based on template matches according to claim 1, it is characterized in that: the diagnosis of the fault type in the described step 5 is specially: the state conversion times of (1) equipment operation breaks down, the state conversion times of (2) equipment operation is correct, but transformation result breaks down, the state conversion of (3) equipment operation is correct, but the sequential conversion is broken down.
6. the method for diagnosing faults of a kind of many switches parameter based on template matches according to claim 5, it is characterized in that: the concrete diagnostic method of described fault (1) is: virtual condition conversion table and the state template of equipment running process are carried out the conversion times comparison, if unnecessary state conversion, has appearred more than the conversion times of state template in the actual converted number of times in the devices illustrated operational process; If the actual converted number of times is less than the conversion times of state template, due state conversion does not appear in devices illustrated operational process middle part switch-dividing; When conversion times not simultaneously, can find inconsistent place fast by template translation contrast, find out trouble unit rapidly.
7. the method for diagnosing faults of a kind of many switches parameter based on template matches according to claim 5, it is characterized in that: the concrete diagnostic method of described fault (2) is: on the virtual condition conversion table of the equipment running process basis identical with the conversion times of state template, it is right that virtual condition conversion table and state template are carried out numeric ratio, if numerical value does not match, illustrate that then a corresponding switching value that do not match breaks down.
8. the method for diagnosing faults of a kind of many switches parameter based on template matches according to claim 5, it is characterized in that: the concrete diagnostic method of described fault (3) is: on the correct basis of equipment state conversion, it is right that the actual sequential conversion table of equipment entire work process and sequential template are carried out numeric ratio, if the conversion of the state in the actual sequential conversion table moment mates constantly with the conversion in the sequential template, show that the equipment operation is normal; Otherwise devices illustrated breaks down, and at this moment, can determine the time of occurrence of equipment failure constantly fast by the conversion that equipment breaks down, and then analyze the origin cause of formation of determining fault.
CN201210000400.3A 2012-01-04 2012-01-04 A kind of Multi-Switch parameter method for diagnosing faults based on template matches Expired - Fee Related CN103197162B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201210000400.3A CN103197162B (en) 2012-01-04 2012-01-04 A kind of Multi-Switch parameter method for diagnosing faults based on template matches

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201210000400.3A CN103197162B (en) 2012-01-04 2012-01-04 A kind of Multi-Switch parameter method for diagnosing faults based on template matches

Publications (2)

Publication Number Publication Date
CN103197162A true CN103197162A (en) 2013-07-10
CN103197162B CN103197162B (en) 2016-02-17

Family

ID=48719846

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201210000400.3A Expired - Fee Related CN103197162B (en) 2012-01-04 2012-01-04 A kind of Multi-Switch parameter method for diagnosing faults based on template matches

Country Status (1)

Country Link
CN (1) CN103197162B (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105717877A (en) * 2014-12-02 2016-06-29 南京南瑞继保电气有限公司 Method and device for verifying operating condition of pump storage group based on sequence control process
CN110046419A (en) * 2019-04-11 2019-07-23 天津工业大学 A kind of dynamic equipment fault type inline diagnosis method based on CTMA-DL algorithm
CN113961258A (en) * 2021-10-30 2022-01-21 重庆长安汽车股份有限公司 Method and system for recognizing abnormal automobile state based on time sequence transfer and storage medium
CN114137404A (en) * 2021-11-23 2022-03-04 深圳供电局有限公司 Maintenance method and system for voltage regulating switch of power transformer

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2006503354A (en) * 2002-10-18 2006-01-26 ゼットイーディー・アイ ソリューションズ(カナダ) インコーポレイテッド System and method for acquiring data from equipment
CN1794242A (en) * 2005-09-09 2006-06-28 浙江大学 Failure diagnosis data collection and publishing method
CN101097653A (en) * 2007-07-17 2008-01-02 东北大学 Electric energy quality and electrical power system malfunction detection wave recording device and method
CN102183720A (en) * 2011-03-11 2011-09-14 浙江网新中控创新技术研究开发有限公司 Safety digital quantity acquiring circuit and realizing method thereof

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2006503354A (en) * 2002-10-18 2006-01-26 ゼットイーディー・アイ ソリューションズ(カナダ) インコーポレイテッド System and method for acquiring data from equipment
CN1794242A (en) * 2005-09-09 2006-06-28 浙江大学 Failure diagnosis data collection and publishing method
CN101097653A (en) * 2007-07-17 2008-01-02 东北大学 Electric energy quality and electrical power system malfunction detection wave recording device and method
CN102183720A (en) * 2011-03-11 2011-09-14 浙江网新中控创新技术研究开发有限公司 Safety digital quantity acquiring circuit and realizing method thereof

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105717877A (en) * 2014-12-02 2016-06-29 南京南瑞继保电气有限公司 Method and device for verifying operating condition of pump storage group based on sequence control process
CN110046419A (en) * 2019-04-11 2019-07-23 天津工业大学 A kind of dynamic equipment fault type inline diagnosis method based on CTMA-DL algorithm
CN110046419B (en) * 2019-04-11 2023-04-18 天津工业大学 CTMA-DL algorithm-based dynamic equipment fault type online diagnosis method
CN113961258A (en) * 2021-10-30 2022-01-21 重庆长安汽车股份有限公司 Method and system for recognizing abnormal automobile state based on time sequence transfer and storage medium
CN113961258B (en) * 2021-10-30 2023-06-30 重庆长安汽车股份有限公司 Automobile state anomaly identification method, system and storage medium based on time sequence transfer
CN114137404A (en) * 2021-11-23 2022-03-04 深圳供电局有限公司 Maintenance method and system for voltage regulating switch of power transformer

Also Published As

Publication number Publication date
CN103197162B (en) 2016-02-17

Similar Documents

Publication Publication Date Title
CN102539192B (en) Failure prediction method based on ICA reconstruction
CN105629958B (en) A kind of batch process method for diagnosing faults based on sub-period MPCA SVM
CN103853889A (en) Power electronic system fault diagnosis method based on bond graph
CN103713628A (en) Fault diagnosis method based on signed directed graph and data constitution
CN104237977A (en) Automatic meteorological station fault handling system
CN107179502B (en) A kind of method for diagnosing faults of mechanical state of high-voltage circuit breaker
CN103197162A (en) Multiple switch parameter fault diagnosis method based on template matching
KR20110048771A (en) The engineering platform system of the electric power- telemetrics and its using method
CN104380553B (en) The action test system of protection relay system
CN103927343A (en) Comprehensive diagnosis and prediction ability verifying method of PHM (prognostics and health management) system
CN110083860A (en) A kind of industrial method for diagnosing faults based on correlated variables selection
Noureen et al. Anomaly detection in cyber-physical system using logistic regression analysis
CN110187696A (en) Single order servomechanism sensor fault diagnosis method and system based on dynamic trend
CN203037628U (en) Gas chromatography on-line monitoring device for insulating oil of operating transformer
CN104076813A (en) TCAS system fault comprehensive diagnosis method and system based on Bayesian decision tree
US20220156586A1 (en) System for monitoring a circuit breaker
CN108693469A (en) The method for diagnosing faults and device of GIS device
CN108377209A (en) Equipment fault detecting system based on SCADA and detection method
CN104332196A (en) Method for monitoring reactor control-rod driving-mechanism motion point
CN110119579A (en) A kind of complex industrial process fault monitoring method based on OICA
CN109324591A (en) Fault diagnosis device and method of stochastic hybrid system based on robust estimator
CN106444695B (en) A kind of intelligence Aircraft Steering Engine method for rapidly testing and device
CN103617350B (en) A kind of rotating machinery method for diagnosing faults smoothing renewal based on diagnostic evidence
CN107817784B (en) A kind of procedure failure testing method based on concurrent offset minimum binary
CN103904003B (en) A kind of hybrid feedback formula advanced process control system system

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
CF01 Termination of patent right due to non-payment of annual fee
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20160217

Termination date: 20210104