CN114330006A - Multi-fault diagnosis method and system capable of inhibiting false alarm and computer equipment - Google Patents
Multi-fault diagnosis method and system capable of inhibiting false alarm and computer equipment Download PDFInfo
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Abstract
The application relates to a method, a system and computer equipment for multi-fault diagnosis capable of inhibiting false alarms. The method comprises the following steps: acquiring a fault mode and a fault rate of each level of equipment to be diagnosed and reporting test information; obtaining a valley-in-test correlation matrix of each level of the diagnostic equipment based on the fault mode, the fault rate and the reported test information; simplifying the fault-test correlation matrix; and performing multi-fault diagnosis based on the simplified fault-test correlation matrix. By adopting the method, the multi-fault diagnosis can be more scientific and efficient.
Description
Technical Field
The present application relates to the field of fault diagnosis technologies, and in particular, to a method, a system, and a computer device for multi-fault diagnosis capable of suppressing false alarms.
Background
With the development of industrial and scientific technologies, the automation degree of large-scale equipment is higher and higher, the realized functions and performance indexes are more and more, the composition and the structure of the equipment are more and more complex, and the equipment is generally composed of a plurality of subsystems, and each subsystem comprises a plurality of Line Replaceable Units (LRUs). In addition, as the production efficiency is continuously improved, the requirement for normal operation of the large-scale equipment is higher and higher, and therefore, the requirement for the fault diagnosis technology of the large-scale equipment is higher and higher, and fault diagnosis is a process of determining the fault state of a fault system based on observed test information. When a device fails, the failure state may be caused by a certain failure mode of one unit, may be caused by a plurality of failure modes of a plurality of units, or may be caused by a combination of a plurality of failure modes of a plurality of units, and the failure diagnosis is complicated, especially when a plurality of failure modes are involved.
The existing multi-fault diagnosis technology mainly comprises the steps of firstly mapping a multi-fault mode of equipment into a single-fault mode according to corresponding test information to form a multi-fault correlation matrix of the equipment, then obtaining an optimal multi-fault diagnosis sequence of diagnosis cost and time through an intelligent algorithm, detecting a multi-fault mode group which still cannot be determined and carrying out fault location in combination with a diagnosis mode of maintenance, finally determining the multi-fault mode, and adopting the diagnosis strategy for complex equipment to have complicated operation and long time consumption. Generally, the test points are always in a working state in the running process of the equipment, so all test information can be reported in real time, and the test information cannot be used for real-time diagnosis of multiple fault modes in a diagnosis mode combining detection and maintenance.
However, the conventional multi-fault diagnosis method cannot eliminate the interference of the false alarm, and cannot perform scientific and efficient multi-fault diagnosis in real time.
Disclosure of Invention
In view of the above, it is necessary to provide a method, an apparatus, a computer device and a computer readable storage medium for multiple fault diagnosis that can suppress false alarms.
In a first aspect, the present application provides a method of multiple fault diagnosis that may suppress false alarms, the method comprising:
acquiring a fault mode and a fault rate of each level of equipment to be diagnosed and reporting test information;
obtaining a fault-test correlation matrix of each level of the equipment to be diagnosed based on the fault mode, the fault rate and the reported test information;
simplifying the fault-test correlation matrix;
and performing multi-fault diagnosis based on the simplified fault-test correlation matrix.
In one embodiment, the acquiring the fault mode, the fault rate, and the reported test information of each layer of the device to be diagnosed includes: and respectively acquiring the fault mode, the fault rate and the reported test information of the system level and the external field replaceable unit level of the equipment to be diagnosed.
Therefore, the multi-fault diagnosis method provided by the embodiment of the application is carried out in a layered mode, and can be used for processing fault diagnosis results of different layers in a targeted mode, so that multi-fault diagnosis is more scientific and reasonable.
In one embodiment, the fault-test correlation matrix expression is:
in the formula, DIs a correlation matrix of m rows and n columns, F ═ F1,f2,f3…fm) T is a failure mode set, and T is (T)1,t2,t3,…,tn) For test set, element d in matrixmnThe value is {0,1}, d mn1 denotes test tnCan detect failure mode fm，dmn0 denotes test tnUndetectable failure mode fm。
In one embodiment, the simplifying the fault-test correlation matrix further comprises:
said t isnIs 0 and dmnWhen is 1, based on said tnCorresponding to fmObtain a first set F1；
Said t isnIs 1 and d ismnWhen is 1, based on said tnCorresponding to fmObtain a second set F2；
If the second set F2Is the first set F1If so, then the t is determinednA false alarm occurs;
deleting the tnThe column in which they are located.
Therefore, the method can also screen the false alarm of the fault-test correlation matrix, thereby reducing the calculated amount to a certain extent and further improving the efficiency of multi-fault diagnosis.
In one embodiment, the simplifying the fault-test correlation matrix comprises:
said t isnWhen the value is 0, deleting t in the fault-test correlation matrixnThe column in which the compound is positioned;
said t isnIs 0 and said dmnWhen 1, f in the fault-test correlation matrix is deletedmThe row is the row.
In one embodiment, the performing multiple fault diagnosis based on the simplified fault-test correlation matrix includes:
obtaining a multi-fault set of a plurality of fault modes based on the simplified fault-detection correlation matrix;
normalizing the failure rates of all failure modes in the multi-failure set;
sorting the failure rates after all failure modes in the multi-failure set are normalized to obtain a sorting result;
and obtaining a multi-fault mode based on the sorting result and the simplified fault-test correlation matrix.
In a second aspect, the present application also provides a system for multiple fault diagnosis that suppresses false alarms, the system comprising:
the information acquisition module is used for acquiring the fault mode and the fault rate of each layer of the equipment to be diagnosed and reporting test information;
the matrix construction module is used for obtaining a fault-test correlation matrix of each level of the equipment to be diagnosed based on the fault mode, the fault rate and the reported test information;
a simplification module for simplifying the fault-test correlation matrix;
and the multi-fault judgment module is used for carrying out multi-fault diagnosis based on the simplified fault-test correlation matrix.
In a third aspect, the present application further provides a computer device, including a memory and a processor, where the memory stores a computer program, and the processor implements the following steps when executing the computer program:
acquiring a fault mode and a fault rate of each level of equipment to be diagnosed and reporting test information;
obtaining a fault-test correlation matrix of each level of the equipment to be diagnosed based on the fault mode, the fault rate and the reported test information;
simplifying the fault-test correlation matrix;
and performing multi-fault diagnosis based on the simplified fault-test correlation matrix.
In one embodiment, the acquiring the fault mode, the fault rate, and the reported test information of each layer of the device to be diagnosed includes: and respectively acquiring the fault mode, the fault rate and the reported test information of the system level of the equipment to be diagnosed and the external field replaceable unit level.
Therefore, the multi-fault diagnosis method provided by the embodiment of the application is carried out in a layered mode, and can be used for processing fault diagnosis results of different layers in a targeted mode, so that multi-fault diagnosis is more scientific and reasonable.
In one embodiment, the fault-test correlation matrix expression is:
wherein D is a correlation matrix of m rows and n columns, and F ═ F1,f2,f3…fm) T is a failure mode set, and T is (T)1,t2,t3,…,tn) For test set, element d in matrixmnThe value is {0,1}, d mn1 denotes test tnCan detect failure mode fm，dmn0 denotes test tnUndetectable failure mode fm。
In one embodiment, the simplifying the fault-test correlation matrix further comprises:
said t isnIs 0 and dmnWhen is 1, based on said tnCorresponding to fmObtain a first set F1；
Said t isnIs 1 and d ismnWhen is 1, based on said tnCorresponding to fmObtain a second set F2；
If the second set F2Is the first set F1If so, then the t is determinednA false alarm occurs;
deleting the tnThe column in which they are located.
Therefore, the method can also screen the false alarm of the fault-test correlation matrix, thereby reducing the calculated amount to a certain extent and further improving the efficiency of multi-fault diagnosis.
In one embodiment, the simplifying the fault-test correlation matrix comprises:
said t isnWhen the value is 0, deleting t in the fault-test correlation matrixnThe column in which the compound is positioned;
said t isnIs 0 and said dmnWhen 1, f in the fault-test correlation matrix is deletedmThe row is the row.
In one embodiment, the performing multiple fault diagnosis based on the simplified fault-test correlation matrix includes:
obtaining a multi-fault set of a plurality of fault modes based on the simplified fault-detection correlation matrix;
normalizing the failure rates of all failure modes in the multi-failure set;
sorting the failure rates after all failure modes in the multi-failure set are normalized to obtain a sorting result;
and obtaining a multi-fault mode based on the sorting result and the simplified fault-test correlation matrix.
In a fourth aspect, the present application further provides a computer readable storage medium having a computer program stored thereon, the computer program when executed by a processor implementing the steps of:
acquiring a fault mode and a fault rate of each level of equipment to be diagnosed and reporting test information;
obtaining a fault-test correlation matrix of each level of the equipment to be diagnosed based on the fault mode, the fault rate and the reported test information;
simplifying the fault-test correlation matrix;
and performing multi-fault diagnosis based on the simplified fault-test correlation matrix.
In a fifth aspect, the present application further provides a computer program product comprising a computer program which, when executed by a processor, performs the steps of:
acquiring a fault mode and a fault rate of each level of equipment to be diagnosed and reporting test information;
obtaining a fault-test correlation matrix of each level of the equipment to be diagnosed based on the fault mode, the fault rate and the reported test information;
simplifying the fault-test correlation matrix;
and performing multi-fault diagnosis based on the simplified fault-test correlation matrix.
According to the method, the system, the computer equipment and the storage medium for multi-fault diagnosis capable of inhibiting false alarms, the FMECA is expanded on the basis of each level of the equipment, the correlation matrix of each level is obtained, the correlation matrix is simplified, and the multi-fault mode and the fault unit which are possibly generated by the equipment are inferred by combining the real-time test information of each level and the correlation matrix of each level according to the characteristics of the correlation matrix. The method has small calculation amount, can carry out multi-fault-mode layered diagnosis on the large-scale equipment, eliminates false alarms in the process of simplifying the correlation matrix, can carry out real-time diagnosis on the multi-fault mode by using the test information, and provides a scientific and reasonable solution for the problem of multi-fault diagnosis of the large-scale equipment at each level in different use and maintenance stages.
Drawings
Fig. 1 is a schematic flowchart of a method for multiple fault diagnosis capable of suppressing false alarms according to an embodiment of the present disclosure;
fig. 2 is a schematic architecture diagram of a system of a diagnostic apparatus according to an embodiment of the present disclosure;
fig. 3 is a block diagram of a system for multiple fault diagnosis capable of suppressing false alarms according to an embodiment of the present disclosure;
fig. 4 is an internal structure diagram of a computer device according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
In this embodiment, as shown in fig. 1, a flow chart of a method for multiple fault diagnosis capable of suppressing false alarms is provided, which includes the following steps:
Specifically, a failure mode, a failure rate, and reported test information of each level of the device to be diagnosed are obtained, where each level includes the device 201, the system 202, and a plurality of Line Replaceable Units (LRUs) 203 of the device to be diagnosed. Referring to fig. 2, fig. 2 is a schematic diagram of a system architecture of a diagnostic apparatus provided in an embodiment of the present application, and as can be seen from fig. 2, the diagnostic apparatus system 201 may include a plurality of systems 202, each system 202 may further include a plurality of line replaceable unit level line replaceable units 203; specifically, the plurality of systems 202 may be respectively denoted as system 1, system 2, and system 3, each system 202 may include 6 LRUs, and the system 202 and the line replaceable unit LRU203 in the figure provide corresponding fault mode numbers, when the system 201 of the diagnosis apparatus performs multi-fault diagnosis, the line replaceable unit LRU203 first obtains the fault mode, the fault rate, and the report test information of the diagnosis apparatus, the diagnosis apparatus obtains the fault mode, the fault rate, and the report test information of the system 202 of the diagnosis apparatus according to the information of the line replaceable unit LRU203, and the system of the diagnosis apparatus obtains the multi-fault mode that may occur to the diagnosis apparatus according to the information of the system 202.
Specifically, a GJB/Z1391A-2006 fault Mode, influence and hazard Analysis guide is referred to, firstly, a fault Mode, influence and hazard Analysis (FMECA) work of a certain device is carried out, a project of 'reporting test information' is added to an original FMECA form, and 'reporting test information' corresponding to fault modes of all levels is filled, namely, the extended FMECA work of the certain device is completed.
It can be seen that the fault-test correlation matrix in the embodiment of the present application can be directly obtained according to the extended FMECA information, a testability model does not need to be established, and workload is saved, thereby improving the efficiency of multi-fault diagnosis.
Referring to table 1, table 1 shows extended FMECA information of the LRU level at a certain time of the diagnostic device, where the FMECA information includes a failure mode and a failure rate of the diagnostic device, and the LRU level test point of the diagnostic device reports the test information as binary information, such as {1,0,0,1,1,1,0,1, 0,1,0 }.
TABLE 1 extended FMECA information of LRU level at a time in a diagnostic device
As shown in table 1, as an example, expanded FMECA information of 6 LRU levels at a certain time of the device is listed, including a unit to which each LRU belongs, a fault mode number, a fault mode name, a fault rate, a fault cause, a higher-level influence, and reported test information, where the reported test information presented in table 1 is information when a value is 1, and if the reported test information is 0, the reported test information is not displayed in a corresponding fault mode, the higher-level influence in the table is a fault mode number of the system 202, and the higher-level influence, the LRU level fault mode number, and the unit satisfy the system level relationship in fig. 2.
The diagnostic equipment obtains the failure mode, failure rate and reported test information of the system 202 of the diagnostic equipment according to the information of the external field replaceable unit 203. Please refer to table 2, where table 2 is extended FMECA information of a system level of a diagnostic device at a certain time, where the reported test information of the system level of the diagnostic device at the certain time is expressed as {1,0,0,1,1,1,0,1,1}, for example.
TABLE 2 expanded FMECA information at device system level for a diagnostic device
As shown in table 2, 3 system-level extended FMECA information is listed here, including the failure mode name of each system level, the corresponding failure mode number, failure cause, higher-order influence level, failure rate, and reported test information, where there are a plurality of failure causes corresponding to the failure mode number, the reported test information presented in table 1 is information when the value is 1, and if the reported test information is 0, the failure cause is not displayed in the corresponding failure mode.
Specifically, the expression of the fault-test correlation matrix of each level of the diagnostic device is as follows:
where D is a correlation matrix of m rows and n columns, and F ═ F1,f2,f3…fm) For a set of failure modes, T ═ T1,t2,t3,…,tn) For test set, element d in matrixmnThe value is {0,1}, fmFor indicating a failure mode of the target device, tnD is used for representing the reported test information of the target equipmentmnIndicating whether a failure mode of the target device is detectable when dmnWhen the value is 0, the reported test information t is representednUndetectable failure mode fmWhen d ismnWhen the value is 1, the reported test information t is representednDetectable failure mode fm。
According to the extended FMECA information of the LRU level of the device to be diagnosed, a correlation matrix of the LRU level of the device is obtained, please refer to table 3, where table 3 is a correlation matrix of the LRU level of the device to be diagnosed.
TABLE 3 LRU level correlation matrix for a device to be diagnosed
Similarly, a correlation matrix of the system level of the device to be diagnosed is obtained according to the extended FMECA information of the system level of the device to be diagnosed, please refer to table 4, where table 4 is a correlation matrix of the system level of the device to be diagnosed.
TABLE 4 correlation matrix of a system of devices of a device to be diagnosed
In particular, the tnWhen 0, the test point tnIs diagnosed as "normal", i.e. no fault, the t is deletednA corresponding column vector; said t isnIs 0 and dmnWhen 1, the failure mode fmCan detect and be in a normal state, and delete the fault mode fmAnd corresponding row vectors and a fault mode matrix with all the remaining test points being 1.
Furthermore, the tnIs 0 and dmnAt 1, all failure modes f in the matrix are recordedmIs a first set F1Said t isnIs 1 and d ismnWhen 1, it indicates failure mode fmAt the test point tnThe state of fault can be detected and recordednFailure mode f of the columnmIs a second set F2(ii) a If the second set F2Is the first set F1If so, then the t is determinednThe location is classified as a false alarm, and the reported test point t corresponding to the false alarm is deletednThe column vector of which it is located.
According to the above simplified method, t is in table 3 according to the LRU level2，t3，t7，t10，t12And t14If it is 0, deleting the corresponding column vector, and when t isnIs 0 and dmnWhen it is 1, delete pairCorresponding failure mode fmThe row vector of the position. Furthermore, the tnIs 0 and dmn1-hour failure mode fmThe set of compositions is F1{ f1-1.1, f1-1.2, f1-1.4, f1-1.5, f1-2.1, f1-2.2, f1-2.3, f1-2.4, f1-2.5, f1-1.1, f1-1.2, f1-1.4, f1-1.5, f1-1.1, f1-1.2, f1-1.3, f1-1.4, f1-1.5, f1-2.1, f1-2.2, f1-2.3, f1-2.4, f1-2.5, f1-1.1, f1-1.2, f1-1.3, f1-1.4, f 1-1.72, f 1-2.72, f1-1.5, f 1-1.72, f1-1.3, f 1-3, f 1-3, f6Is 1 and d ismnWhen 1, the test point t6Failure mode f of the columnmAs a constituent set F2Is { F1-1.4, F1-1.5, F2-1.4, F2-1.5, F3-1.3, F3-1.4, F3-1.5}, and set F2Is the above-mentioned F1Can judge the reported test point t6For false alarm, the same principle can be used to determine t9Is also false alarm, so t is also deleted6And t9The column vector is located to obtain the simplified LRU level correlation matrix of the device shown in table 5.
TABLE 5 LRU level correlation matrix after device to be diagnosed simplification
Similarly, in tables 2 and 4 according to the system level, the tnIs 1 and d mn1, system level failure mode fmThe set of compositions is F1{ f1.1, f1.2, f3.4}, and judges t9For false alarm, the simplified correlation matrix at the system level of the device is shown in table 6:
TABLE 6 simplified system level correlation matrix for device to be diagnosed
And step 204, performing multi-fault diagnosis based on the simplified fault-test correlation matrix.
Specifically, a multi-fault set of a plurality of fault modes is obtained based on the simplified correlation matrix of the fault-test; normalizing the fault rates of all fault modes in the multi-fault set; sorting the failure rates after all failure modes in the multi-failure set are normalized to obtain a sorting result; and obtaining multiple fault modes based on the sequencing result and the simplified fault-test correlation matrix.
A multi-fault set of a plurality of fault modes is obtained based on the simplified correlation matrix of the fault-test, wherein it can be seen from table 2 that the corresponding fault rates are respectively 11, 7 and 15, the simplified system-level fault modes are numbered as f1.1, f1.2 and f3.4, and then the fault rates of all fault modes in the multi-fault set are normalized according to table 2, and the probability corresponding to each fault mode is:
P(f1.1)＝11/(11+7+15)≈0.3333333
P(f1.2)＝7/(11+7+15)≈0.212121
P(f3.4)＝15/(11+7+15)≈0.454545
sorting according to the probability corresponding to each fault mode of the system, P (f3.4)>P(f1.1)>P (f1.2), according to the simplified matrix of the system of the diagnostic equipment in the table 6, the row vectors with the simplified fault mode numbers f1.1, f1.2 and f3.4 are subjected to multi-fault judgment, for example, the row vectors with the fault mode numbers f1.1 and f1.2 are subjected to logic OR relation processing, and when the test point t is reported1D corresponding to the failure mode numbers f1.1 and f1.2mnRespectively being "1" and "0", the logical or relationship between the two is processed to obtain that the corresponding column of the "reported test information" is "1", and similarly, after the logical or relationship between the failure mode numbers f1.1 and f1.2 and other "reported test information", the corresponding columns of the "reported test information" in the upper table are all "1", and the test result conforming to the "reported test information" is obtained, so that the multi-failure mode formed by the failure mode numbers f1.1 and f1.2 is a possible multi-failure mode of the diagnostic device. Similarly, the failure mode numbers f1.1, f1.2 and f3.4 are also a possible multiple failure mode of the diagnostic device.
Calculating the probability of the possible multi-fault modes according to the sequencing result of the diagnostic equipment and the possible multi-fault modes obtained by the fault-test correlation matrix, wherein the calculation method satisfies p (f)i,j)＝p(fi)*p(fj)。
P(f1.1,f1.2)＝P(f1.1)*P(f1.2)＝0.3333333*0.212121＝0.070707
P(f1.1,f1.2,f3.4)＝P(f1.1)*P(f1.2)*P(f3.4)＝0.3333333*0.212121*0.454545
＝0.032140
According to the probability result of the possible multiple fault modes, according to the size of the probability, the multiple fault modes corresponding to the system level of the diagnosis device are f1.1 and f1.2, f1.1, f1.2 and f3.4, the corresponding occurrence probabilities are 0.070707 and 0.032140 respectively, and the multiple fault modes occurring at the system level of the diagnosis device are system 1 or system 3 respectively. The system-level fault modes of the equipment are few in number and short in diagnosis time, and diagnosis results can be reported to operation and use personnel as real-time diagnosis information in use of the equipment, so that the operation personnel can conveniently process faults of the equipment in time.
Similarly, as can be seen from table 5, the simplified LRU level fault mode numbers are f1-1.3 and f3-2.4, and the simplified fault rates are normalized according to the corresponding fault rates in table 1 being 8 and 3, respectively, and the probability corresponding to each fault mode is:
P(f1-1.3)＝8/(8+3)≈0.727272
P(f3-2.4)＝3/(8+3)≈0.272728
and (f1-1.3) according to the probability corresponding to each fault mode of the LRU level>P (f3-2.4), according to the simplified matrix of LRU level of the probability diagnosis equipment in Table 6, the row vector with the simplified failure mode numbers of f1-1.3 and f3-2.4 is processed by logical OR relationship, when the test point t is reported1When the failure mode numbers are f1-1.3 and d corresponding to f3-2.4mnRespectively "1" and "0", the corresponding column of the "reported test information" obtained after the logical or relationship processing of the two is "1", similarly, the above is the sameAfter the logical OR relationship of other 'reported test information' with the fault mode numbers f1-1.3 and f3-2.4, test results that the 'reported test information' corresponding columns in the table are all '1' and accord with 'reported test information' are obtained, so that the multi-fault mode formed by the fault mode numbers f1-1.3 and f3-2.4 is a possible multi-fault mode of the diagnostic equipment.
Calculating the probability of the possible multi-fault modes according to the sequencing result of the diagnostic equipment and the possible multi-fault modes obtained by the fault-test correlation matrix, wherein the probability of the possible multi-fault modes is as follows:
p (f1-1.3, f3-2.4) ═ P (f1-1.3) × (f3-2.4) ═ 0.727272 × 0.272728 ═ 0.198347, then the multiple fault modes at the system level are f1-1.3 and f3-2.4, the corresponding normalized fault rates P (f1-1.3, f3-2.4) are LRU 0.198347, and the multiple fault modes corresponding to the system are LRU1 and 3, respectively. The LRU level diagnosis result of the equipment can be used as detailed maintenance diagnosis information after the equipment is stopped and reported to maintenance personnel, so that the fault can be detected in time, the position of the fault can be accurately positioned, and the maintenance guarantee time and cost can be reduced.
Therefore, the multi-fault diagnosis method provided by the embodiment of the application is carried out in a layered mode, the fault diagnosis result of the corresponding level is sent to the corresponding staff, and the fault diagnosis result of the equipment is processed in a targeted mode, so that the multi-fault diagnosis is more scientific and reasonable.
It should be understood that, although the steps in the flowcharts related to the embodiments as described above are sequentially displayed as indicated by arrows, the steps are not necessarily performed sequentially as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a part of the steps in the flowcharts related to the embodiments described above may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the execution order of the steps or stages is not necessarily sequential, but may be rotated or alternated with other steps or at least a part of the steps or stages in other steps.
Based on the same inventive concept, the embodiment of the present application further provides a system for implementing the above-mentioned multiple fault diagnosis capable of suppressing false alarms. The implementation scheme of the multiple fault diagnosis capable of suppressing the false alarm provided by the system is similar to the implementation scheme described in the above method, so specific limitations in one or more embodiments of the multiple fault diagnosis capable of suppressing the false alarm provided in the following may refer to the above limitations on the method capable of suppressing the multiple fault diagnosis of the false alarm, and are not described herein again.
In one embodiment, as shown in fig. 3, a block diagram 300 of a system for suppressing false alarm multiple fault diagnosis is provided, comprising: an information obtaining module 301, a matrix constructing module 302, a simplifying module 303 and a multi-fault judging module 304, wherein:
the information acquisition module 301 is configured to acquire a failure mode and a failure rate of each layer of the device to be diagnosed, and report test information;
a matrix construction module 302, configured to obtain a fault-test correlation matrix of each level of the device to be diagnosed based on the fault mode, the fault rate, and the reported test information;
a simplification module 303 for simplifying the fault-test correlation matrix;
a multiple fault determining module 304, configured to perform multiple fault diagnosis based on the simplified fault-test correlation matrix.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 4. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer equipment is used for acquiring the fault mode and the fault rate of each level of the equipment to be diagnosed and reporting test information; obtaining a matrix of fault-test correlation of each level of the equipment to be diagnosed based on the fault mode, the fault rate and the reported test information; simplifying the fault-test correlation matrix; and the data processing method is used for carrying out multi-fault diagnosis based on the simplified fault-test correlation matrix. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a method of multiple fault diagnosis that suppresses false alarms.
In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as shown in fig. 4. The computer device comprises a processor, a memory, and a communication interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless communication can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement a method of multiple fault diagnosis that suppresses false alarms. Those skilled in the art will appreciate that the architecture shown in fig. 4 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:
acquiring a fault mode and a fault rate of each level of equipment to be diagnosed and reporting test information;
obtaining a fault-test correlation matrix of each level of the equipment to be diagnosed based on the fault mode, the fault rate and the reported test information;
simplifying the fault-test correlation matrix;
and performing multi-fault diagnosis based on the simplified fault-test correlation matrix.
In one embodiment, the processor, when executing the computer program, further performs the steps of: and respectively acquiring the fault mode, the fault rate and the reported test information of the system level, the system level and the external field replaceable unit level of the equipment to be diagnosed.
Therefore, the multi-fault diagnosis method provided by the embodiment of the application is carried out in a layered mode, and can be used for processing fault diagnosis results of different layers in a targeted mode, so that multi-fault diagnosis is more scientific and reasonable.
In one embodiment, the processor, when executing the computer program, further performs the steps of: the fault-test correlation matrix expression is:
wherein D is a correlation matrix of m rows and n columns, and F ═ F1,f2,f3…fm) T is a failure mode set, and T is (T)1,t2,t3,…,tn) For test set, element d in matrixmnThe value is {0,1}, d mn1 denotes test tnCan detect failure mode fm，dmn0 denotes test tnUndetectable failure mode fm。
In one embodiment, the processor, when executing the computer program, further performs the steps of: said t isnIs 0 and dmnWhen is 1, based on said tnCorresponding to fmObtain a first set F1(ii) a Said t isnIs 1 and d ismnWhen is 1, based on said tnCorresponding to fmObtain a second set F2(ii) a If the second set F2Is the first set F1If so, then the t is determinednA false alarm occurs; deleting the tnThe column in which they are located. Therefore, the method can also screen the false alarm of the fault-test correlation matrix, thereby reducing the calculated amount to a certain extent and further improving the efficiency of multi-fault diagnosis.
In one embodiment, the processor, when executing the computer program, further performs the steps of: said t isnWhen the value is 0, deleting t in the fault-test correlation matrixnThe column in which the compound is positioned; said t isnIs 0 and said dmnWhen 1, f in the fault-test correlation matrix is deletedmThe row is the row.
In one embodiment, the processor, when executing the computer program, further performs the steps of: obtaining a multi-fault set of a plurality of fault modes based on the simplified fault-detection correlation matrix; normalizing the failure rates of all failure modes in the multi-failure set; sorting the failure rates after all failure modes in the multi-failure set are normalized to obtain a sorting result; and obtaining a multi-fault mode based on the sorting result and the simplified fault-test correlation matrix.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
acquiring a fault mode and a fault rate of each level of equipment to be diagnosed and reporting test information;
obtaining a fault-test correlation matrix of each level of the equipment to be diagnosed based on the fault mode, the fault rate and the reported test information;
simplifying the fault-test correlation matrix;
and performing multi-fault diagnosis based on the simplified fault-test correlation matrix.
In one embodiment, the computer program when executed by the processor further performs the steps of: and respectively acquiring the fault mode, the fault rate and the reported test information of the system level, the system level and the external field replaceable unit level of the equipment to be diagnosed.
Therefore, the multi-fault diagnosis method provided by the embodiment of the application is carried out in a layered mode, and can be used for processing fault diagnosis results of different layers in a targeted mode, so that multi-fault diagnosis is more scientific and reasonable.
In one embodiment, the computer program when executed by the processor further performs the steps of: the fault-test correlation matrix expression is:
wherein D is a correlation matrix of m rows and n columns, and F ═ F1,f2,f3…fm) T is a failure mode set, and T is (T)1,t2,t3,…,tn) For test set, element d in matrixmnThe value is {0,1}, d mn1 denotes test tnCan detect failure mode fm，dmn0 denotes test tnUndetectable failure mode fm。
In one embodiment, the computer program when executed by the processor further performs the steps of: said t isnIs 0 and dmnWhen is 1, based on said tnCorresponding to fmObtain a first set F1(ii) a Said t isnIs 1 and d ismnWhen is 1, based on said tnCorresponding to fmObtain a second set F2(ii) a If the second set F2Is the first set F1If so, then the t is determinednA false alarm occurs; deleting the tnThe column in which they are located.
Therefore, the method can also screen the false alarm of the fault-test correlation matrix, thereby reducing the calculated amount to a certain extent and further improving the efficiency of multi-fault diagnosis.
In one embodiment of the present invention,the computer program when executed by the processor further realizes the steps of: said t isnWhen the value is 0, deleting t in the fault-test correlation matrixnThe column in which the compound is positioned; said t isnIs 0 and said dmnWhen 1, f in the fault-test correlation matrix is deletedmThe row is the row.
In one embodiment, the computer program when executed by the processor further performs the steps of: obtaining a multi-fault set of a plurality of fault modes based on the simplified fault-detection correlation matrix; normalizing the failure rates of all failure modes in the multi-failure set; sorting the failure rates after all failure modes in the multi-failure set are normalized to obtain a sorting result; and obtaining a multi-fault mode based on the sorting result and the simplified fault-test correlation matrix.
In one embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, performs the steps of:
acquiring a fault mode and a fault rate of each level of equipment to be diagnosed and reporting test information;
obtaining a fault-test correlation matrix of each level of the equipment to be diagnosed based on the fault mode, the fault rate and the reported test information;
simplifying the fault-test correlation matrix;
and performing multi-fault diagnosis based on the simplified fault-test correlation matrix.
In one embodiment, the computer program when executed by the processor further performs the steps of: and respectively acquiring the fault mode, the fault rate and the reported test information of the system level and the external field replaceable unit level of the equipment to be diagnosed.
Therefore, the multi-fault diagnosis method provided by the embodiment of the application is carried out in a layered mode, and can be used for processing fault diagnosis results of different layers in a targeted mode, so that multi-fault diagnosis is more scientific and reasonable.
In one embodiment, the computer program when executed by the processor further performs the steps of: the fault-test correlation matrix expression is:
wherein D is a correlation matrix of m rows and n columns, and F ═ F1,f2,f3…fm) T is a failure mode set, and T is (T)1,t2,t3,…,tn) For test set, element d in matrixmnThe value is {0,1}, d mn1 denotes test tnCan detect failure mode fm，dmn0 denotes test tnUndetectable failure mode fm。
In one embodiment, the computer program when executed by the processor further performs the steps of: said t isnIs 0 and dmnWhen is 1, based on said tnCorresponding to fmObtain a first set F1(ii) a Said t isnIs 1 and d ismnWhen is 1, based on said tnCorresponding to fmObtain a second set F2(ii) a If the second set F2Is the first set F1If so, then the t is determinednA false alarm occurs; deleting the tnThe column in which they are located.
Therefore, the method can also screen the false alarm of the fault-test correlation matrix, thereby reducing the calculated amount to a certain extent and further improving the efficiency of multi-fault diagnosis.
In one embodiment, the computer program when executed by the processor further performs the steps of: said t isnWhen the value is 0, deleting t in the fault-test correlation matrixnThe column in which the compound is positioned; said t isnIs 0 and said dmnWhen 1, f in the fault-test correlation matrix is deletedmThe row is the row.
In one embodiment, the computer program when executed by the processor further performs the steps of: obtaining a multi-fault set of a plurality of fault modes based on the simplified fault-detection correlation matrix; normalizing the failure rates of all failure modes in the multi-failure set; sorting the failure rates after all failure modes in the multi-failure set are normalized to obtain a sorting result; and obtaining a multi-fault mode based on the sorting result and the simplified fault-test correlation matrix.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high-density embedded nonvolatile Memory, resistive Random Access Memory (ReRAM), Magnetic Random Access Memory (MRAM), Ferroelectric Random Access Memory (FRAM), Phase Change Memory (PCM), graphene Memory, and the like. Volatile Memory can include Random Access Memory (RAM), external cache Memory, and the like. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others. The databases referred to in various embodiments provided herein may include at least one of relational and non-relational databases. The non-relational database may include, but is not limited to, a block chain based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic devices, quantum computing based data processing logic devices, etc., without limitation.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present application shall be subject to the appended claims.
Claims (10)
1. A method of multiple fault diagnosis that suppresses false alarms, the method comprising:
acquiring a fault mode and a fault rate of each level of equipment to be diagnosed and reporting test information;
obtaining a fault-test correlation matrix of each level of the equipment to be diagnosed based on the fault mode, the fault rate and the reported test information;
simplifying the fault-test correlation matrix;
and performing multi-fault diagnosis based on the simplified fault-test correlation matrix.
2. The method of claim 1, wherein the obtaining the failure mode, the failure rate and the reported test information of each layer of the device to be diagnosed comprises:
and respectively acquiring the fault mode, the fault rate and the reported test information of the system level and the external field replaceable unit level of the equipment to be diagnosed.
3. The method according to any one of claims 1 or 2, wherein the fault-test correlation matrix expression is:
wherein D is a correlation matrix of m rows and n columns, and F ═ F1，f2，f3...fm) For a set of failure modes, T ═ T1，t2，t3，...，tn) For test set, element d in matrixmnThe value is {0,1}, dmn1 denotes test tnCan detect failure mode fm，dmn0 denotes test tnUndetectable failure mode fm。
4. The method of claim 3, wherein simplifying the fault-test correlation matrix further comprises:
said t isnIs 0 and dmnWhen is 1, based on said tnCorresponding to fmObtain a first set F1；
Said t isnIs 1 and d ismnWhen is 1, based on said tnCorresponding to fmObtain a second set F2；
If the second set F2Is the first set F1If so, then the t is determinednA false alarm occurs;
deleting the tnThe column in which they are located.
5. The method of claim 4, wherein simplifying the fault-test correlation matrix comprises:
said t isnWhen the value is 0, deleting t in the fault-test correlation matrixnThe column in which the compound is positioned;
said t isnIs 0 and said dmnWhen 1, f in the fault-test correlation matrix is deletedmThe row is the row.
6. The method of claim 5, wherein the performing multiple fault diagnostics based on the simplified fault-test correlation matrix comprises:
obtaining a multi-fault set of a plurality of fault modes based on the simplified fault-detection correlation matrix;
normalizing the failure rates of all failure modes in the multi-failure set;
sorting the failure rates after all failure modes in the multi-failure set are normalized to obtain a sorting result;
and obtaining a multi-fault mode based on the sorting result and the simplified fault-test correlation matrix.
7. A system for multiple fault diagnosis that suppresses false alarms, the method comprising:
the information acquisition module is used for acquiring the fault mode and the fault rate of each layer of the equipment to be diagnosed and reporting test information;
the matrix construction module is used for obtaining a fault-test correlation matrix of each level of the equipment to be diagnosed based on the fault mode, the fault rate and the reported test information;
a simplification module for simplifying the fault-test correlation matrix;
and the multi-fault judgment module is used for carrying out multi-fault diagnosis based on the simplified fault-test correlation matrix.
8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 6.
9. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 6.
10. A computer program product comprising a computer program, characterized in that the computer program realizes the steps of the method of any one of claims 1 to 6 when executed by a processor.
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