CN115293296B - Mechanical equipment fault positioning optimization method and system - Google Patents

Mechanical equipment fault positioning optimization method and system Download PDF

Info

Publication number
CN115293296B
CN115293296B CN202211186445.4A CN202211186445A CN115293296B CN 115293296 B CN115293296 B CN 115293296B CN 202211186445 A CN202211186445 A CN 202211186445A CN 115293296 B CN115293296 B CN 115293296B
Authority
CN
China
Prior art keywords
mechanical
mechanical parts
time
task time
fault
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.)
Active
Application number
CN202211186445.4A
Other languages
Chinese (zh)
Other versions
CN115293296A (en
Inventor
胡俊波
董理
史跃东
罗忠
李华
阮旻智
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.)
Naval University of Engineering PLA
Original Assignee
Naval University of Engineering PLA
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 Naval University of Engineering PLA filed Critical Naval University of Engineering PLA
Priority to CN202211186445.4A priority Critical patent/CN115293296B/en
Publication of CN115293296A publication Critical patent/CN115293296A/en
Application granted granted Critical
Publication of CN115293296B publication Critical patent/CN115293296B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/20—Administration of product repair or maintenance
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/04—Manufacturing

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Human Resources & Organizations (AREA)
  • General Business, Economics & Management (AREA)
  • Tourism & Hospitality (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Marketing (AREA)
  • Physics & Mathematics (AREA)
  • Strategic Management (AREA)
  • Economics (AREA)
  • Primary Health Care (AREA)
  • Manufacturing & Machinery (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)

Abstract

The invention discloses a method and a system for optimizing fault location of mechanical equipment, and belongs to the field of fault location of mechanical equipment. The method comprises the following steps: acquiring a normal distribution density function and accumulated working time of the service life obeying of each mechanical piece, and taking a certain working period of mechanical equipment as task time; in the task time, performing integral calculation on the normal distribution density function obeyed by the service life of each mechanical part to obtain the fault probability of each mechanical part in the task time; calculating the conditional probability of the faults of the mechanical parts in the task time according to the probability of the faults of the mechanical parts in the task time; sorting the conditional probability of the faults of the mechanical parts in the task time in a descending order, and obtaining the arrangement of the mechanical part numbers corresponding to the sorting result, namely the optimized fault positioning scheme; and sequentially checking the states of the mechanical parts according to the optimized fault positioning scheme until the mechanical part with the fault is found out. The invention can check the number of mechanical parts as little as possible to complete fault location.

Description

Mechanical equipment fault positioning optimization method and system
Technical Field
The invention belongs to the field of mechanical equipment fault location, and particularly relates to a mechanical equipment fault location optimization method and system.
Background
After the equipment fails, generally, the equipment needs to perform fault location and then perform repair work. By fault location is meant finding the failed component that is the cause of the fault. When there are multiple possible causes behind a fault, there are multiple fault checking orders, and the time spent by different fault checking orders is generally different, since it involves checking the status of multiple components one after another (until a failed component is found).
In engineering, the service life of a mechanical part generally follows a normal distribution rule, such as: collector rings, gearboxes, reducers, etc. for describing failures due to wear, etc. Normal mechanical parts mean that the service life follows normal distribution
Figure 164320DEST_PATH_IMAGE001
Mechanical part of, density function of
Figure 720066DEST_PATH_IMAGE002
Wherein, in the process,
Figure 662614DEST_PATH_IMAGE003
the physical meaning of (a) is the life mean,
Figure 303811DEST_PATH_IMAGE004
the physical meaning of (1) is lifetime root variance, which describes the degree of concentration and dispersion of lifetimes around the mean.
When the state of the mechanical part is checked, the complicated disassembly, measurement, final assembly recovery and the like are usually involved, so that how to optimize the checking sequence of the relevant mechanical parts during fault positioning and check the relevant mechanical parts as few as possible has great value for the actual equipment maintenance work. At present, the inspection sequence of fault location is gradually optimized mainly by means of experience accumulated by maintenance personnel and certain optimization principles. For example, "the priority inspection that most likely fails" is a common optimization principle, but how to accurately quantify this possibility is a problem that cannot be solved well, and a maintenance person often only can roughly estimate the size of the possibility that each mechanical part fails by experience, so that the optimized inspection order often cannot achieve the effect of completing fault location with the least inspection workload.
Disclosure of Invention
In view of the drawbacks and needs of the prior art, it is an object of the present invention to provide a method and a system for fault location optimization of mechanical equipment, which aim to solve the problem that a fault location solution with a minimum number of inspection machines cannot be reliably obtained.
In order to achieve the above object, in a first aspect, the present invention provides a method for optimizing fault location of mechanical equipment, where the mechanical equipment includes multiple mechanical components, the lifetimes of the mechanical components all conform to a normal distribution, at most one mechanical component fails at any time in a whole mission time, the order of status check of each mechanical component is independent and irrelevant during troubleshooting, and the disassembly complexity of each mechanical component is consistent during troubleshooting, the method including:
s1, acquiring a normal distribution density function and accumulated working time obeyed by the service life of each mechanical piece, and taking a certain working period of mechanical equipment as task time;
s2, in the task time, calculating the normal distribution density function integral subject to the service life of each mechanical part by combining the accumulated working time of each mechanical part to obtain the fault probability of each mechanical part in the task time;
s3, calculating the conditional probability of the faults of the mechanical parts in the task time according to the probability of the faults of the mechanical parts in the task time;
s4, sorting the conditional probabilities of the mechanical parts which have faults in the task time in a descending order, and arranging the mechanical part numbers corresponding to the sorting result, namely the optimized fault positioning scheme;
and S5, sequentially checking the states of the mechanical parts according to the optimized fault positioning scheme until the mechanical part with the fault is found out.
Preferably, step S2 comprises the following sub-steps:
s21, setting a mechanical part number
Figure 255586DEST_PATH_IMAGE005
；
S22, calculating task time
Figure 462577DEST_PATH_IMAGE006
Inner mechanical part
Figure 277824DEST_PATH_IMAGE007
Probability of failure
Figure 468634DEST_PATH_IMAGE008
：
Figure 692942DEST_PATH_IMAGE009
When the temperature is higher than the set temperature
Figure 223280DEST_PATH_IMAGE010
When the temperature of the water is higher than the set temperature,
Figure 773210DEST_PATH_IMAGE011
；
when in use
Figure 920158DEST_PATH_IMAGE012
When the temperature of the water is higher than the set temperature,
Figure 151419DEST_PATH_IMAGE013
；
wherein, the first and the second end of the pipe are connected with each other,
Figure 598581DEST_PATH_IMAGE014
the number of mechanical pieces is indicated and,
Figure 257095DEST_PATH_IMAGE015
indicating mechanical parts
Figure 156918DEST_PATH_IMAGE016
The conditional probability of (a) of (b),
Figure 988608DEST_PATH_IMAGE017
indicating mechanical parts
Figure 227959DEST_PATH_IMAGE018
The average value of the life of (a),
Figure 119692DEST_PATH_IMAGE019
indicating mechanical parts
Figure 444494DEST_PATH_IMAGE020
The variance of the lifetime root of (a),
Figure 79875DEST_PATH_IMAGE021
indicating mechanical parts
Figure 236050DEST_PATH_IMAGE022
The accumulated working time of (2);
S23.
Figure 236367DEST_PATH_IMAGE023
if, if
Figure 110782DEST_PATH_IMAGE024
The process proceeds to S22, otherwise, the process proceeds to step S3.
Preferably, the conditional probability of each mechanical part failing during the mission time
Figure 221957DEST_PATH_IMAGE025
The calculation formula of (a) is as follows:
Figure 498218DEST_PATH_IMAGE026
。
preferably, the method further comprises:
after the optimized fault positioning scheme is obtained, the average number of the inspection machines of the fault positioning scheme is calculated
Figure 466174DEST_PATH_IMAGE027
：
Figure 287541DEST_PATH_IMAGE028
Wherein, the first and the second end of the pipe are connected with each other,
Figure 264724DEST_PATH_IMAGE029
sorting the results in descending order for the conditional probability of each mechanical part failing within the mission time,
Figure 598753DEST_PATH_IMAGE030
to represent
Figure 3190DEST_PATH_IMAGE031
To (1)
Figure 321039DEST_PATH_IMAGE032
And (4) each element.
In order to achieve the above object, in a second aspect, the present invention provides a system for optimizing fault location of mechanical equipment, including: comprises a processor and a memory; the processor is used for storing computer execution instructions; the processor is configured to execute the computer-executable instructions such that the method of the first aspect is performed.
Generally, by the above technical solution conceived by the present invention, the following beneficial effects can be obtained:
the invention provides a method and a system for optimizing the fault location of mechanical equipment, which calculate the fault probability of each mechanical part in the task time through integration, further calculate the fault conditional probability of each mechanical part in the task time, sort the fault conditional probability of each mechanical part in the task time in a descending order, and arrange the mechanical part numbers corresponding to the sorting result, namely the optimized fault location scheme, thereby realizing the purpose of checking the number of the mechanical parts as little as possible to complete the fault location, and the corresponding average number of the checked mechanical parts is beneficial to determining the number of maintenance personnel, repair tools, maintenance man hours and the like in the maintenance management work.
Drawings
Fig. 1 is a flowchart of a method for optimizing fault location of mechanical equipment according to an embodiment of the present invention.
Fig. 2 is a schematic diagram of a simulation verification result according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention 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 invention and do not limit the invention. In addition, the technical features involved in the embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
The mechanical equipment comprises a plurality of mechanical parts, the service lives of the mechanical parts are in normal distribution, at most one mechanical part fails at any time in the whole task time, the state inspection sequence of each mechanical part is independent and irrelevant during troubleshooting, and the disassembly complexity is consistent during troubleshooting of each mechanical part. Fig. 1 is a flowchart of a method for optimizing fault location of mechanical equipment according to an embodiment of the present invention. As shown in fig. 1, the method includes:
s1, obtaining a normal distribution density function and accumulated working time of the service life obeying of each mechanical piece, and taking a certain working period of the mechanical equipment as task time.
The 5 conventions of the present invention:
(1) An apparatus is composed of a plurality of mechanical members, and for convenience of description, the life of each mechanical member is described in terms of time.
(2) At any one time, at most 1 mechanical piece failed. When a certain mechanical part breaks down, the normal work of equipment can be influenced, certain fault phenomena can occur to the equipment, and repair work needs to be carried out at the moment.
(3) When fault location is carried out, the order of state checking on the mechanical parts is independent and irrelevant, namely: there are no special requirements to the inspection sequence, such as "the mechanical part a must be inspected first and then the mechanical part B".
(4) The known life distribution rule of each mechanical part, the accumulated working time of each mechanical part and the time to execute the task can be any working period.
(5) And the disassembling complexity is consistent when all mechanical parts are subjected to troubleshooting.
Dependent variables of the inventionThe convention is as follows: number of machines is recorded
Figure 39596DEST_PATH_IMAGE033
(ii) a Mechanical part number is noted
Figure 290449DEST_PATH_IMAGE034
(ii) a Mechanical part
Figure 803470DEST_PATH_IMAGE034
Obeys normal distribution
Figure 874194DEST_PATH_IMAGE035
(ii) a Mechanical piece
Figure 130863DEST_PATH_IMAGE036
Is recorded as the cumulative operating time
Figure 236222DEST_PATH_IMAGE037
(ii) a Task time is recorded as
Figure 920144DEST_PATH_IMAGE038
。
And S2, in the task time, calculating the normal distribution density function integral subject to the service life by combining the accumulated working time of each mechanical part, and obtaining the fault probability of each mechanical part in the task time.
Preferably, step S2 comprises the following sub-steps:
s21, setting a mechanical part number
Figure 743744DEST_PATH_IMAGE039
。
S22, calculating task time
Figure 538525DEST_PATH_IMAGE040
Inner mechanical part
Figure 498390DEST_PATH_IMAGE034
Probability of failure
Figure 415531DEST_PATH_IMAGE041
：
Figure 398530DEST_PATH_IMAGE042
When in use
Figure 59319DEST_PATH_IMAGE043
When the utility model is used, the water is discharged,
Figure 873691DEST_PATH_IMAGE044
；
when the temperature is higher than the set temperature
Figure 397951DEST_PATH_IMAGE045
When the utility model is used, the water is discharged,
Figure 930564DEST_PATH_IMAGE046
；
wherein the content of the first and second substances,
Figure 129464DEST_PATH_IMAGE047
the number of mechanical pieces is indicated and,
Figure 1605DEST_PATH_IMAGE048
indicating mechanical parts
Figure 260548DEST_PATH_IMAGE049
The conditional probability of (a) of (b),
Figure 218139DEST_PATH_IMAGE050
indicating mechanical parts
Figure 220731DEST_PATH_IMAGE051
The average value of the life of (a),
Figure 9695DEST_PATH_IMAGE052
indicating mechanical parts
Figure 377222DEST_PATH_IMAGE053
Life root variance of，
Figure 884427DEST_PATH_IMAGE054
Indicating mechanical parts
Figure 628392DEST_PATH_IMAGE055
The accumulated operating time of (2).
S23.
Figure 6284DEST_PATH_IMAGE056
If at all
Figure 872609DEST_PATH_IMAGE057
The process proceeds to S22, otherwise, the process proceeds to step S3.
And S3, calculating the conditional probability of the faults of the mechanical parts in the task time according to the probability of the faults of the mechanical parts in the task time.
Preferably, the conditional probability of each mechanical part failing during the mission time
Figure 539213DEST_PATH_IMAGE058
The calculation formula of (c) is as follows:
Figure 149186DEST_PATH_IMAGE059
。
and S4, sequencing the conditional probabilities of the mechanical parts which have faults within the task time in a descending order, and arranging the mechanical part numbers corresponding to the sequencing results, namely the optimized fault positioning scheme.
To array
Figure 584847DEST_PATH_IMAGE060
The elements in the Chinese character are obtained by sequencing from big to small
Figure 622073DEST_PATH_IMAGE061
Array of
Figure 572712DEST_PATH_IMAGE062
The sorted numbers form an array
Figure 658479DEST_PATH_IMAGE063
，
Figure 276542DEST_PATH_IMAGE064
The physical meaning of (1) is an inspection sequence consisting of the serial numbers of all mechanical parts, and is an optimized fault positioning scheme.
And S5, sequentially checking the states of the mechanical parts according to the optimized fault positioning scheme until the mechanical part with the fault is found out.
Preferably, the method further comprises:
after the optimized fault positioning scheme is obtained, the average number of the inspection machines of the fault positioning scheme is calculated
Figure 920888DEST_PATH_IMAGE065
：
Figure 624402DEST_PATH_IMAGE066
Wherein, the first and the second end of the pipe are connected with each other,
Figure 310598DEST_PATH_IMAGE067
sorting the results in descending order for the conditional probability of each mechanical part failing within the mission time,
Figure 720851DEST_PATH_IMAGE068
represent
Figure 99880DEST_PATH_IMAGE069
To (1)
Figure 228373DEST_PATH_IMAGE070
And (4) each element.
The invention provides a mechanical equipment fault positioning optimization system, which comprises: comprises a processor and a memory; the processor is used for storing computer execution instructions; the processor is used for executing the computer-executable instructions so as to execute the method.
The embodiment is as follows: it is known that a mechanical device is composed of 5 mechanical parts, and the relevant information of each mechanical part is shown in table 1, i.e. a task is to be performed for 150 hours. By adopting the method, a fault positioning scheme after the component has faults is designed, and the inspection sequence of the related mechanical parts and the average mechanical part inspection number required for completing fault positioning are calculated.
TABLE 1 information about mechanical parts
Figure 718260DEST_PATH_IMAGE071
1) Traversing and calculating the fault probability of each mechanical part
Figure 248598DEST_PATH_IMAGE072
The mechanical parts 1 to 5 have the following failure probabilities: 0.033, 0.017, 0.399, 0.010 and 0.539.
2) Traversing and calculating the conditional probability of each mechanical part failing
Figure 532949DEST_PATH_IMAGE073
Mechanical parts 1 to 5, the conditional probabilities of the mechanical parts are respectively: 0.03, 0.02, 0.40, 0.01 and 0.54.
3) To array
Figure 148738DEST_PATH_IMAGE074
The elements in the Chinese are obtained by sorting from big to small
Figure 442316DEST_PATH_IMAGE075
[0.54 0.40 0.03 0.02 0.01]The serial numbers of the mechanical parts corresponding to the sequence form an array
Figure 623899DEST_PATH_IMAGE076
[5 3 1 2 4]Namely: the optimized fault location scheme is that the states of the mechanical parts are checked according to the sequence of the mechanical parts 5, the mechanical parts 3, the mechanical parts 1, the mechanical parts 2 and the mechanical parts 4 until the fault reason is found.
4) Order to
Figure 282413DEST_PATH_IMAGE077
=1.56, i.e.: fault location scheme
Figure 182236DEST_PATH_IMAGE078
The average number of inspection machines of (1.56).
5) Output the output
Figure 951609DEST_PATH_IMAGE079
、
Figure 253277DEST_PATH_IMAGE080
。
A simulation model can be established to verify the correctness of the method, and the simulation model is briefly described as follows:
(1) Generating
Figure 145010DEST_PATH_IMAGE081
A random number
Figure 469812DEST_PATH_IMAGE082
，
Figure 839614DEST_PATH_IMAGE083
，
Figure 261368DEST_PATH_IMAGE084
Compliant mechanical member
Figure 760220DEST_PATH_IMAGE007
The life distribution rule of (2) and all
Figure 634635DEST_PATH_IMAGE085
If true, the remaining life of each mechanical part
Figure 542548DEST_PATH_IMAGE086
。
(2) In all of
Figure 756492DEST_PATH_IMAGE087
The minimum number is found in the sequence number
Figure 990027DEST_PATH_IMAGE088
Namely:
Figure 86159DEST_PATH_IMAGE089
。
(3) If it is
Figure 1025DEST_PATH_IMAGE090
If the fault location scheme is established, the simulation is effective, the position of the fault mechanical part in the fault location scheme is searched, and the position serial number is recorded as
Figure 131792DEST_PATH_IMAGE053
Then, the common check is carried out in the present simulation fault location
Figure 473912DEST_PATH_IMAGE053
A mechanical member.
After a large number of simulations, the mean value of the number of fault location inspection mechanical parts can be obtained by statistics.
The number of all fault locating schemes of the above embodiment is 120. By adopting the simulation model, the average value of the number of the 120 inspection machines can be simulated. Fig. 2 is a schematic diagram of a simulation verification result according to an embodiment of the present invention. As shown in fig. 2, the maximum number of the inspection mechanisms is 4.43, and the minimum number of the inspection mechanisms is 1.57, which is very consistent with the optimal solution result 1.56 of the method of the present invention, and the optimization effect of the method of the present invention is obvious.
A large number of simulation verification results show that: the method can comprehensively consider the influences of the factors such as the reliability of equipment (the service life distribution rule of each mechanical part), the health state of the equipment (accumulated working time), the task time and the like, the obtained optimization scheme can obviously reduce the number of the detected mechanical parts, and the heavier mechanical part detection work caused by an unreasonable fault positioning scheme is effectively avoided.
It will be understood by those skilled in the art that the foregoing is only a preferred embodiment of the present invention, and is not intended to limit the invention, and that any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the scope of the present invention.

Claims (4)

1. The mechanical equipment fault positioning optimization method is characterized in that the mechanical equipment comprises a plurality of mechanical parts, the service lives of the mechanical parts are all in accordance with normal distribution, at most one mechanical part fails at any time in the whole task time, the sequence of state inspection of each mechanical part is independent and irrelevant during troubleshooting, and the disassembly complexity of each mechanical part is consistent during troubleshooting, and the method comprises the following steps:
s1, acquiring a normal distribution density function and accumulated working time obeyed by the service life of each mechanical piece, and taking a certain working period of mechanical equipment as task time;
s2, in the task time, the cumulative working time of each mechanical part is combined, and the normal distribution density function integral subject to the service life of each mechanical part is calculated to obtain the fault probability of each mechanical part in the task time;
s3, calculating the conditional probability of the faults of the mechanical parts in the task time according to the probability of the faults of the mechanical parts in the task time;
s4, sorting the conditional probabilities of the mechanical parts which have faults in the task time in a descending order, and arranging the mechanical part numbers corresponding to the sorting result, namely the optimized fault positioning scheme;
s5, sequentially checking the states of the mechanical parts according to the optimized fault positioning scheme until the mechanical parts with faults are found out;
step S2 includes the following substeps:
s21, setting a mechanical part number
Figure 61402DEST_PATH_IMAGE001
；
S22, calculating task time
Figure 602105DEST_PATH_IMAGE003
Inner mechanical part
Figure 776735DEST_PATH_IMAGE004
Probability of failure
Figure 252846DEST_PATH_IMAGE005
：
Figure 512926DEST_PATH_IMAGE006
When the temperature is higher than the set temperature
Figure 857320DEST_PATH_IMAGE007
When the temperature of the water is higher than the set temperature,
Figure 11090DEST_PATH_IMAGE008
；
when in use
Figure 48316DEST_PATH_IMAGE009
When the temperature of the water is higher than the set temperature,
Figure 264534DEST_PATH_IMAGE010
；
wherein the content of the first and second substances,
Figure 553564DEST_PATH_IMAGE011
the number of mechanical pieces is indicated and,
Figure 171627DEST_PATH_IMAGE012
indicating mechanical parts
Figure 379754DEST_PATH_IMAGE013
The conditional probability of (2) is determined,
Figure 204972DEST_PATH_IMAGE014
indicating mechanical parts
Figure 156748DEST_PATH_IMAGE015
The average value of the life of (a),
Figure 894896DEST_PATH_IMAGE016
indicating mechanical parts
Figure 149291DEST_PATH_IMAGE017
The variance of the root of life of (c),
Figure 340101DEST_PATH_IMAGE018
indicating mechanical parts
Figure 829988DEST_PATH_IMAGE019
The accumulated working time of (2);
S23.
Figure 157065DEST_PATH_IMAGE020
if, if
Figure 831628DEST_PATH_IMAGE021
The process proceeds to S22, otherwise, the process proceeds to step S3.
2. The method of claim 1, wherein the conditional probability of each mechanical element failing during the mission time is determined by the conditional probability of each mechanical element failing during the mission time
Figure 509734DEST_PATH_IMAGE022
The calculation formula of (a) is as follows:
Figure 68892DEST_PATH_IMAGE023
。
3. the method of claim 1, further comprising:
after the optimized fault positioning scheme is obtained, the average number of the inspection machines of the fault positioning scheme is calculated
Figure 391420DEST_PATH_IMAGE024
：
Figure 846672DEST_PATH_IMAGE025
Wherein the content of the first and second substances,
Figure 277653DEST_PATH_IMAGE026
sorting the results in descending order for the conditional probability of each mechanical part failing within the mission time,
Figure 233977DEST_PATH_IMAGE027
to represent
Figure 801224DEST_PATH_IMAGE028
To (1)
Figure DEST_PATH_IMAGE029
And (4) each element.
4. A mechanical device fault localization optimization system, comprising: comprises a processor and a memory;
the processor is used for storing computer execution instructions;
the processor is configured to execute the computer-executable instructions to cause the method of any of claims 1 to 3 to be performed.
CN202211186445.4A 2022-09-28 2022-09-28 Mechanical equipment fault positioning optimization method and system Active CN115293296B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202211186445.4A CN115293296B (en) 2022-09-28 2022-09-28 Mechanical equipment fault positioning optimization method and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202211186445.4A CN115293296B (en) 2022-09-28 2022-09-28 Mechanical equipment fault positioning optimization method and system

Publications (2)

Publication Number Publication Date
CN115293296A CN115293296A (en) 2022-11-04
CN115293296B true CN115293296B (en) 2022-12-20

Family

ID=83833609

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202211186445.4A Active CN115293296B (en) 2022-09-28 2022-09-28 Mechanical equipment fault positioning optimization method and system

Country Status (1)

Country Link
CN (1) CN115293296B (en)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH11160400A (en) * 1997-09-24 1999-06-18 Nec Corp Estimation method for failure part in sequential circuit and candidate extraction in estimation of failure part as well as method and apparatus for weighting thereof
CN104517195A (en) * 2015-01-04 2015-04-15 上海杰之能信息科技有限公司 Fault localization automated method for motor train unit
WO2019049406A1 (en) * 2017-09-08 2019-03-14 株式会社日立製作所 Failure probability evaluation system
CN111044847A (en) * 2019-12-30 2020-04-21 河南工程学院 Complex power distribution network fault tolerance online fault positioning method based on probability evaluation
CN112445635A (en) * 2019-09-04 2021-03-05 无锡江南计算技术研究所 Data-driven adaptive checkpoint optimization method

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP6865189B2 (en) * 2018-03-16 2021-04-28 株式会社日立製作所 Failure probability evaluation system and method
CN110135596A (en) * 2019-04-18 2019-08-16 中国电力科学研究院有限公司 A kind of relay protection system risk assessment and Fault Locating Method and device

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH11160400A (en) * 1997-09-24 1999-06-18 Nec Corp Estimation method for failure part in sequential circuit and candidate extraction in estimation of failure part as well as method and apparatus for weighting thereof
CN104517195A (en) * 2015-01-04 2015-04-15 上海杰之能信息科技有限公司 Fault localization automated method for motor train unit
WO2019049406A1 (en) * 2017-09-08 2019-03-14 株式会社日立製作所 Failure probability evaluation system
CN112445635A (en) * 2019-09-04 2021-03-05 无锡江南计算技术研究所 Data-driven adaptive checkpoint optimization method
CN111044847A (en) * 2019-12-30 2020-04-21 河南工程学院 Complex power distribution network fault tolerance online fault positioning method based on probability evaluation

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
《海底光缆故障点电场定位技术》;胡俊波;《光纤与电缆及其应用技术》;20080430;全文 *

Also Published As

Publication number Publication date
CN115293296A (en) 2022-11-04

Similar Documents

Publication Publication Date Title
CN111209131B (en) Method and system for determining faults of heterogeneous system based on machine learning
RU2757436C9 (en) Device and method for monitoring indications of malfunction from vehicle, computer-readable media
CN115310048B (en) Method and system for calculating repair probability of equipment in expected time
CN115374658B (en) Method and system for optimizing troubleshooting sequence of electronic equipment with least time consumption
CN106155035B (en) Method for diagnosing faults and fault diagnosis system based on repair class data
GB2522926A (en) Method of identifying anomalies
CN115270078B (en) Method and system for calculating average repair time of electromechanical equipment
US20230239194A1 (en) Node health prediction based on failure issues experienced prior to deployment in a cloud computing system
CN111782532B (en) Software fault positioning method and system based on network abnormal node analysis
CN115293296B (en) Mechanical equipment fault positioning optimization method and system
Nobakhti et al. Dynamic reliability assessment of a complex recovery system using fault tree, fuzzy inference and discrete event simulation
CN115759479B (en) Complex equipment fault positioning optimization method and system based on comprehensive value
CN112685320A (en) Software defect repairing method and device based on multiple candidate programs
Qian et al. A embedded software testing process model
CN115965195A (en) Multi-person fault positioning optimization method and system based on equivalent inspection time
CN115688025A (en) Method and system for estimating probability distribution of equipment fault repair time
CN113608959B (en) Method, system, terminal and storage medium for positioning fault hard disk
Pietruczuk et al. Block inspection policy model with imperfect maintenance for single-unit systems
CN106547690A (en) Based on the Software Reliability Modeling method and device under new fitting criterion
CN105303315B (en) A kind of power equipment reliability appraisal procedure counted and maintenance randomness influences
CN116029692A (en) Average maintenance time estimation method and system for complex equipment
CN116843231B (en) Mechanical equipment use availability quantification method and system considering maintenance time consumption
CN115600045B (en) Average detection time calculation method and system adopting universal detection tool for detection
CN115277453B (en) Method for generating abnormal knowledge graph in operation and maintenance field, application method and device
CN115796838A (en) Troubleshooting time estimation method and system for cooperation of multiple persons

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant