CN115796838A - Troubleshooting time estimation method and system for cooperation of multiple persons - Google Patents
Troubleshooting time estimation method and system for cooperation of multiple persons Download PDFInfo
- Publication number
- CN115796838A CN115796838A CN202211521183.2A CN202211521183A CN115796838A CN 115796838 A CN115796838 A CN 115796838A CN 202211521183 A CN202211521183 A CN 202211521183A CN 115796838 A CN115796838 A CN 115796838A
- Authority
- CN
- China
- Prior art keywords
- time
- unit
- maintenance personnel
- troubleshooting
- personnel
- 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.)
- Pending
Links
Images
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a troubleshooting time estimation method and a troubleshooting time estimation system aiming at multi-person cooperation, and belongs to the field of troubleshooting of complex equipment. The method comprises the following steps: according to the inspection sequence, according to the number of units in the complex equipment and the probability of failure of each unit in the task time, calculating the repair weight coefficient of each unit in the task time, and simultaneously initializing an inspection time array by adopting the time for inspecting the state of each unit; according to the order of the serial numbers of the personnel, determining the serial number of the unit which is responsible for detection of each maintenance personnel according to the number of the units detected by each maintenance personnel, calculating the time consumed for the detection when each unit fails according to the detection order, integrating the repair weight coefficient and the time consumed for the detection, and calculating the average troubleshooting time of each maintenance personnel; and accumulating the average troubleshooting time of each maintenance worker to obtain the troubleshooting time of cooperation of multiple workers. The invention relates the checking workload, the checking work division and the number of people, and accurately estimates the average failure checking time of multi-person cooperation.
Description
Technical Field
The invention belongs to the field of troubleshooting of complex equipment, and particularly relates to a troubleshooting time estimation method and a troubleshooting time estimation system aiming at cooperation of multiple persons.
Background
When a certain fault occurs in the equipment, it is a common practice that a maintenance worker inspects the faulty unit and then repairs or replaces the faulty unit. For equipment which directly adopts replacement, the repair completion time is strongly related to troubleshooting time because the replacement time is usually short. As the equipment becomes more powerful and more advanced in performance, the equipment becomes more complex. When a certain fault phenomenon occurs in complex equipment, the possible fault reasons behind the complex equipment are numerous, and the workload of searching for a fault unit is huge.
Maintenance personnel are an important maintenance resource, and a plurality of maintenance personnel are required to be configured in order to find out a fault piece as soon as possible in expected time so as to carry out follow-up repair work. To improve troubleshooting efficiency, each person is generally assigned a range (in the present invention, the range is represented by a set of unit numbers) that is in charge of inspection. For example, the positions of the units to be investigated are relatively scattered, and in actual work, the units may be divided into several groups according to the principle of "close inspection", the units distributed relatively intensively are divided into the same group, and each person is responsible for investigating the units in one group.
How to evaluate the troubleshooting effect of multiple people based on division of labor in advance is still an unsolved problem, and the evaluation is subjectively estimated mainly by the experience of maintenance personnel at present. The accuracy of such subjective estimates is generally not constant, and it is difficult to arrange maintenance work scientifically and reasonably with these results.
Disclosure of Invention
Aiming at the defects of the prior art, the invention aims to provide a troubleshooting time estimation method and a troubleshooting time estimation system aiming at multi-person cooperation, and aims to solve the problem that the troubleshooting time estimation aiming at multi-person cooperation is inaccurate and is evaluated by depending on experience.
In order to achieve the above object, in a first aspect, the present invention provides a troubleshooting time estimation method for multi-person cooperation, where the complex device is composed of multiple units, at most one unit fails at any time in the whole task time, and each unit can be troubleshot by any maintenance worker after failing; the plurality of units receive troubleshooting by taking a group as a unit, different groups receive troubleshooting of different maintenance personnel, and the same group receives troubleshooting of the same maintenance personnel; the order of checking the cell states among the groups is independent and irrelevant, the order of checking the cells in the same group is not required to be relevant, but only one cell in the same group can be checked at a time, if the state is normal, the next cell continues to be checked until the fault cell is checked, and the method comprises the following steps:
s1, acquiring the number of units in complex equipment, the number of maintenance personnel, the state inspection time of each unit, the inspection sequence of all the units after a fault occurs and the number of units detected by each maintenance personnel, and acquiring the fault probability of each unit in a task time by taking a working period of the equipment as the task time;
s2, according to the checking sequence, according to the number of units in the complex equipment and the probability of failure of each unit in the task time, calculating the repair weight coefficient of each unit in the task time, and simultaneously initializing a checking time array by adopting the time for checking the state of each unit;
s3, according to the sequence of the serial numbers of the personnel, determining the serial number of the unit which is responsible for detection by each maintenance personnel according to the number of the units detected by each maintenance personnel, calculating the time consumed for the detection when each unit fails according to the detection sequence, integrating the repair weight coefficient and the time consumed for the detection, and calculating the average troubleshooting time of each maintenance personnel;
and S4, accumulating the average troubleshooting time of each maintenance worker to obtain the troubleshooting time of the cooperation of multiple workers after the complex equipment breaks down.
Preferably, step S2 comprises:
s21, setting a unit detection serial number i =1;
s22, calculating a weight coefficient
Initializing the check time array tp i ＝c j ；
S23.I = i +1, if i is less than or equal to n, the step S22 is carried out, otherwise, the step S3 is carried out;
wherein v is i Weight coefficient, pf, representing a cell with a test sequence number i j J = gInd represents the probability of failure occurring within the unit task time numbered j i Where gInd denotes the order in which all units are checked after a fault has occurred, n denotes the number of units in the complex device, tp i Denotes the check time, tc, of the cell with the check sequence number i j Indicating the time of the status check of the cell numbered j.
Preferably, step S3 comprises:
s31, setting a personnel serial number j =1;
s32, setting an intermediate variable
S33, if j>1, the sequence number range of the unit for which the person j is responsible for detection in the gInd is (np) j-1 +1)～np j Otherwise, the serial number range of the unit which is responsible for detection by the person j in the gInd is 1-np j The sequence number values are stored in an array id in an overlapping mode;
s34, calculating
In the formula (I), the compound is shown in the specification,
s35, updating j = j +1, if j is less than or equal to S, executing S32, otherwise, executing S4;
wherein k is a variable representing traversal; nPer represents the array of the number of cells detected by each maintenance person, nPer k Representing the number of cells that the person k is responsible for, gInd representing the order in which all cells are checked after the occurrence of a failure, id k The unit number indicating the kth unit currently the person is responsible for inspection,
the presentation unit has a sequence number id k The weight coefficient of (a) is,
indicating the cumulative time that the person checked the kth cell,
indicating a unit number id i S represents the number of maintenance personnel.
Preferably, the unit types are the same or different, and the types include: an electronic unit, a mechanical unit, or an electromechanical unit.
Preferably, the method further comprises: the number of maintenance personnel is sequentially set to be 1, 2, 1.. Once.N, wherein N represents the maximum number of maintenance personnel capable of participating in fault elimination, and the time for the multi-maintenance personnel to collaboratively check the fault after the complex equipment has the fault under various collaborating personnel is calculated; the number of maintenance personnel closest to the desired troubleshooting time requirement is selected.
Preferably, the method further comprises: the number of maintenance personnel is sequentially set to be 1, 2, 1, N and N, wherein N represents the maximum number of maintenance personnel capable of participating in fault elimination, and the time for the multi-maintenance personnel to collaboratively check the fault after the complex equipment has the fault under various collaborating personnel numbers is calculated; selecting the number of people with the shortest time and without exceeding the requirement of expected personnel cost.
Preferably, the method further comprises: the number of maintenance personnel is sequentially set to be 1, 2, 1, N and N, wherein N represents the maximum number of maintenance personnel capable of participating in fault elimination, and the time for the multi-maintenance personnel to collaboratively check the fault after the complex equipment has the fault under various collaborating personnel numbers is calculated; and selecting the number of people with the shortest time if no time requirement and no personnel cost exist.
To achieve the above object, in a second aspect, the present invention provides a troubleshooting time estimation system for cooperation of a plurality of persons, including: a processor and a memory; the memory is used for storing computer execution instructions; the processor is configured to execute the computer-executable instructions to cause the method of the first aspect to be performed.
Generally, compared with the prior art, the above technical solution conceived by the present invention has the following beneficial effects:
the invention provides a troubleshooting time estimation method and a troubleshooting time estimation system aiming at multi-person cooperation, which are used for accurately estimating the average troubleshooting time of the multi-person cooperation by associating the troubleshooting workload (unit number n), the troubleshooting division (nPer) and the person number(s). The average troubleshooting time is used as the troubleshooting effect, and a new idea for evaluating the multi-user cooperation troubleshooting effect of the electronic equipment is provided.
Drawings
Fig. 1 is a flowchart of a troubleshooting time estimation method for multi-user cooperation according to the present invention.
Fig. 2 is a result of average repair time obtained by a simulation method and the method of the present invention according to the 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.
Fig. 1 is a flowchart of a troubleshooting time estimation method for multi-user cooperation according to the present invention. As shown in fig. 1, the method includes:
s1, acquiring the number of units in the complex equipment, the number of maintenance personnel, the time for checking the state of each unit, the sequence for checking all the units after the fault occurs and the number of the units detected by each maintenance personnel, and acquiring the probability of the fault of each unit in the task time by taking a working period of the equipment as the task time.
The invention appoints that:
(1) An installation is made up of a plurality of units, and for ease of description, the life of each unit is described in terms of time.
Preferably, the unit types are the same or different, and the types include: an electronic unit, a mechanical unit, or an electromechanical unit. The lifetimes of the different types of cells are subject to a certain type of distribution, from which the lifetimes can be calculated. The method for calculating the service life is not described in detail.
(2) At most 1 cell failed at any time. When a certain unit breaks down, the normal work of equipment can be influenced, certain fault phenomena can occur to the equipment, fault troubleshooting needs to be carried out at the moment, and repair work is carried out after a fault piece is found out.
(3) When troubleshooting is performed, the order of performing the status checks on the units between the groups is independent and irrelevant, namely: there are no cases where there are specific requirements on the checking order, such as "unit a must be checked first and then unit B". The checking order dependencies between the units within the same group are not required, i.e. may be related or may be independent.
(4) The life distribution rule of each unit, the time consumed for performing (normal or abnormal) state check on each unit, the time about to execute a task and the checking sequence of all relevant units after a certain fault phenomenon occurs are known.
(5) Each service person has the ability to inspect all of the cells, but each person can only inspect one cell at a time.
(6) All maintenance personnel start to check at the same time; after the inspection of a certain unit is finished, if the state of the unit is normal, the maintenance personnel continuously inspect the next unit in charge of the maintenance personnel; when a person checks out the fault unit, the checking is stopped, and then the repairing stage of the fault piece is switched to.
The present invention has the following conventions for related variables:
the number of units is recorded as n; the number of people is recorded as s; the inspection order is denoted as gIndThe serial number of the unit to be checked is stored in the array gInd; the array of cell information nPer for which the maintenance personnel are responsible for the detection, e.g. nPer = [ 32 ]]This means that person 1 is responsible for detecting the first 3 cells in the gInd and person 2 is responsible for detecting the next 2 cells in the gInd; the lifetime of the unit i follows an exponential distribution Exp (u) i ) (ii) a The time spent for checking the state of the cell i is denoted as tc i (ii) a The task time is denoted as Tw. These variables are known quantities.
And S2, according to the checking sequence, calculating the repair weight coefficient of each unit in the task time according to the number of the units in the complex equipment and the failure probability of each unit in the task time, and initializing the checking time array by adopting the time for checking the state of each unit.
Preferably, step S2 comprises:
s21, setting a unit detection serial number i =1;
s22, calculating a weight coefficient
Initializing the check time array tp i ＝c j ；
S23.I = i +1, if i is not more than n, the step S22 is executed, otherwise, the step S3 is executed;
wherein v is i Weight coefficient, pf, representing a cell with a test sequence number i j J = gInd represents the probability of failure occurring in the unit task time with the number j i Where gInd denotes the order in which all units are checked after a fault has occurred, n denotes the number of units in the complex device, tp i Denotes the check time, tc, of the cell with the check sequence number i j The time of the state check of the cell numbered j is indicated.
And S3, determining the serial number of the unit which is responsible for detection by each maintenance worker according to the sequence of the personnel serial numbers and the number of the units detected by each maintenance worker, calculating the detection time consumption when each unit fails according to the detection sequence, integrating the repair weight coefficient and the detection time consumption, and calculating the average failure troubleshooting time of each maintenance worker.
Preferably, step S3 comprises:
s31, setting a personnel number j =1;
s32, setting intermediate variables
S33, if j>1, the range of the cell number responsible for detection by the person j in gInd is (np) j-1 +1)～np j Otherwise, the serial number ranges from 1 to np j The serial number values are stored in an array id in an overlapping mode;
s34. Calculating
In the formula (I), the compound is shown in the specification,
s35, updating j = j +1, if j is less than or equal to S, executing S32, and otherwise, executing S4;
wherein k is a variable representing traversal; nPer denotes the number of units detected by each service person, nPer k Representing the number of cells that the person k is responsible for, gInd representing the order in which all cells are checked after the occurrence of a failure, id k The unit number indicating the kth unit currently the person is responsible for inspection,
indicating a unit number id k The weight coefficient of (a) is calculated,
indicating the cumulative time that the person checked the kth cell,
indicating a unit number id i S represents the number of maintenance personnel.
And S4, accumulating the average troubleshooting time of each maintenance worker to obtain the troubleshooting time of multi-worker cooperation after the complex equipment fails.
By utilizing the method, the troubleshooting time of the multi-person work division cooperation can be accurately estimated, the number of maintenance personnel and the maintenance time can be reasonably arranged according to the troubleshooting time, and a scientific and reasonable maintenance work plan is made.
The first method is as follows: the number of maintenance personnel is sequentially set to be 1, 2, 1.. Once.N, wherein N represents the maximum number of maintenance personnel capable of participating in fault elimination, and the time for the multi-maintenance personnel to collaboratively check the fault after the complex equipment has the fault under various collaborating personnel is calculated; the number of maintenance personnel closest to the desired troubleshooting time requirement is selected.
The second method comprises the following steps: the number of maintenance personnel is sequentially set to be 1, 2, 1, N and N, wherein N represents the maximum number of maintenance personnel capable of participating in fault elimination, and the time for the multi-maintenance personnel to collaboratively check the fault after the complex equipment has the fault under various collaborating personnel numbers is calculated; selecting the number of people with the shortest time and without exceeding the requirement of expected personnel cost.
The third method comprises the following steps: the number of maintenance personnel is sequentially set to be 1, 2, 1.. Once.N, wherein N represents the maximum number of maintenance personnel capable of participating in fault elimination, and the time for the multi-maintenance personnel to collaboratively check the fault after the complex equipment has the fault under various collaborating personnel is calculated; if the time requirement and the labor cost do not exist, the number of people with the shortest time is selected.
In addition, the present invention provides a troubleshooting time estimation system for cooperation of a plurality of persons, including: a processor and a memory; the memory is used for storing computer execution instructions; the processor is used for executing the computer-executable instructions to enable the method to be executed.
Examples
S1, acquiring the number of units in the complex equipment, the number of maintenance personnel, the time for checking the state of each unit, the sequence for checking all the units after the failure occurs and the number of the units detected by each maintenance personnel, taking a period of working time of the equipment as task time, and acquiring the failure probability of each unit in the task time.
Given that the number of units in a complex device n =20, the type is an electronic unit, the lifetime of which follows an exponential distribution Exp (u) of units, the physical meaning of the parameter u is the lifetime average. The density function of the exponential distribution is
The number of service personnel s =3. Number of cells nPer = [7 6 ] detected by each serviceman]The numbers of the units respectively indicate that the serviceman with the number of 1 is responsible for the first 7 units of the gInd, the serviceman with the number of 2 is responsible for the middle 7 units of the gInd, and the serviceman with the number of 3 is responsible for the last 6 units of the gInd. The task time Tw was 400 hours.
Life parameter u of each cell and time tc of state check i The order gInd in which all cells were checked after the failure occurred is shown in table 1.
TABLE 1
And calculating the failure probability Pf of each unit in a traversal mode.
1.1 Let i =1;
1.2 Pf) integral calculation i Let us order
When the k = i,
when k is not equal to i, the number of the bits is less than or equal to i,
1.3 I = i +1, if i ≦ n, 1.2) is executed, otherwise S2 is executed.
The results of the calculation of the probability of failure Pf of each unit during the mission time are shown in column 2 of table 2.
TABLE 2
And S2, according to the checking sequence, calculating the repair weight coefficient of each unit in the task time according to the number of the units in the complex equipment and the failure probability of each unit in the task time, and initializing the checking time array by adopting the time for checking the state of each unit. The results of examining the time array tp and the weighting factor v are shown in columns 3 and 4 of table 2.
And S3, calculating the average troubleshooting time array T of each person. The method comprises the following steps:
(1) The person number j =1 is set.
(2) Setting intermediate variables
(3) If j >1 is not satisfied, the cell numbers detected by person 1 in gInd range from 1 to 7, and these number values are stored in the array in an overlapping manner with id = [ 13 4 56 ].
(4) Computing
In the formula
Namely, it is
The rest can be analogized to obtain
37, 55, 62, 88, 106, 114, 153, respectively. While
Respectively 0.016, 0.009, 0.013, 0.015, 0.012, 0.009, 0.336, and T is calculated 1 ＝56.8min。
(5)j＝2。
(6) Setting intermediate variables
(7) If j >1 is satisfied, the cell numbers detected by the person 2 in the gInd range from 8 to 14, and the number values are stored in the array in an overlapping manner with id = [8 10 11 12 14].
(8) Computing
In the formula (I), the compound is shown in the specification,
namely, it is
Then the rest can be analogized to obtain
Respectively 29, 61, 91, 111, 156, 168, 206. While
Respectively 0.015, 0.009, 0.029, 0.010, 0.042, 0.012, 0.101, and the calculated T is obtained 2 ＝34.1。
By analogy, T is obtained by calculation 3 ＝56.4。
And S4, accumulating the average troubleshooting time of each maintenance worker to obtain the troubleshooting time of multi-worker cooperation after the complex equipment fails.
A simulation model can be established to verify the correctness of the method, and the simulation model is briefly described as follows:
(1) Generating n random numbers simT i ，1≤i≤n，simT i Obeying the life distribution rule of the unit i.
(2) At all simT i The minimum number is found in the sequence number, the corresponding sequence number is marked as m, namely: simT m ≤simT i ，1≤i≤n。
(3) If simT m <And if w is established, the simulation is effective, and according to the serial number m, the inspection sequence and the unit information of the inspection which is responsible for the inspection of each repairer, the repairer can determine the fault piece to find and simulate to obtain the inspection time.
After a large number of simulations, the mean troubleshooting time can be calculated. Table 3 and fig. 2 show the results of the average repair time obtained by the simulation method and the method of the present invention for 10 cases of 3 maintenance crews, respectively. As shown in FIG. 2, the results were very consistent.
TABLE 3
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 (8)
1. A troubleshooting time estimation method aiming at multi-person cooperation is characterized in that complex equipment consists of a plurality of units, at most one unit fails at any time in the whole task time, and each unit can be troubleshot by any maintenance personnel after failing; the multiple units receive troubleshooting by taking a group as a unit, different groups receive troubleshooting of different maintenance personnel, and the same group receives troubleshooting of the same maintenance personnel; the order of checking the cell states among the groups is independent and irrelevant, the order of checking the cells in the same group is relevant and not required, but only one cell in the same group can be checked at a time, if the state is normal, the next cell continues to be checked until the fault cell is detected, and the method comprises the following steps:
s1, acquiring the number of units in complex equipment, the number of maintenance personnel, the state inspection time of each unit, the inspection sequence of all units after failure occurs and the number of units detected by each maintenance personnel, taking a period of working time of the equipment as task time, and acquiring the failure probability of each unit in the task time;
s2, according to the checking sequence, according to the number of units in the complex equipment and the probability of failure of each unit in the task time, calculating the repair weight coefficient of each unit in the task time, and simultaneously initializing a checking time array by adopting the time for checking the state of each unit;
s3, according to the sequence of the serial numbers of the personnel, determining the serial number of the unit which is responsible for detection by each maintenance personnel according to the number of the units detected by each maintenance personnel, calculating the time consumed for the detection when each unit fails according to the detection sequence, integrating the repair weight coefficient and the time consumed for the detection, and calculating the average troubleshooting time of each maintenance personnel;
and S4, accumulating the average troubleshooting time of each maintenance worker to obtain the troubleshooting time of multi-person cooperation after the complex equipment fails.
2. The method of claim 1, wherein step S2 comprises:
s21, a setting unit detects a serial number i =1;
s22, calculating a weight coefficient
Initializing the check time array tp i ＝c j ；
S23.I = i +1, if i is less than or equal to n, the step S22 is carried out, otherwise, the step S3 is carried out;
wherein v is i Weight coefficient, pf, representing a cell with a test sequence number i j J = gInd represents the probability of failure occurring within the unit task time numbered j i Where gInd denotes the order in which all units are checked after a fault has occurred, n denotes the number of units in the complex device, tp i Denotes the check time, tc, of the cell with the check sequence number i j The time of the state check of the cell numbered j is indicated.
3. The method of claim 1, wherein step S3 comprises:
s31, setting a personnel serial number j =1;
s32, setting an intermediate variable
S33, if j>1, the range of the cell number responsible for detection by the person j in gInd is (np) j-1 +1)～np j Otherwise, the serial number range of the unit which is responsible for detection by the person j in the gInd is 1 to np j The sequence number values are stored in an array id in an overlapping mode;
s34, calculating
In the formula (I), the compound is shown in the specification,
s35, updating j = j +1, if j is less than or equal to S, executing S32, and otherwise, executing S4;
wherein k is a variable representing traversal; nPer represents the array of the number of cells detected by each maintenance person, nPer k Representing the number of cells that the person k is responsible for, gInd representing the order in which all cells are checked after the occurrence of a failure, id k The unit number indicating the kth unit currently in charge of inspection by the person,
indicating a unit number id k The weight coefficient of (a) is calculated,
indicating the cumulative time that the person checked the kth cell,
indicating a unit number id i S represents the number of maintenance personnel.
4. The method of claim 1, wherein the unit types are the same or different, the types comprising: an electronic unit, a mechanical unit, or an electromechanical unit.
5. The method of any of claims 1 to 4, further comprising:
the number of maintenance personnel is sequentially set to be 1, 2, 1.. Once.N, wherein N represents the maximum number of maintenance personnel capable of participating in fault elimination, and the time for the multi-maintenance personnel to collaboratively check the fault after the complex equipment has the fault under various collaborating personnel is calculated; the number of maintenance personnel closest to the desired troubleshooting time requirement is selected.
6. The method of any of claims 1 to 4, further comprising:
the number of maintenance personnel is sequentially set to be 1, 2, 1, N and N, wherein N represents the maximum number of maintenance personnel capable of participating in fault elimination, and the time for the multi-maintenance personnel to collaboratively check the fault after the complex equipment has the fault under various collaborating personnel numbers is calculated; selecting the number of people with the shortest time and without exceeding the requirement of expected personnel cost.
7. The method of any of claims 1 to 4, further comprising:
the number of maintenance personnel is sequentially set to be 1, 2, 1.. Once.N, wherein N represents the maximum number of maintenance personnel capable of participating in fault elimination, and the time for the multi-maintenance personnel to collaboratively check the fault after the complex equipment has the fault under various collaborating personnel is calculated; if the time requirement and the labor cost do not exist, the number of people with the shortest time is selected.
8. A troubleshooting time estimation system for cooperation of a plurality of persons, comprising: a processor and a memory;
the memory is used for storing computer execution instructions;
the processor, configured to execute the computer-executable instructions to cause the method of any one of claims 1 to 7 to be performed.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211521183.2A CN115796838A (en) | 2022-11-30 | 2022-11-30 | Troubleshooting time estimation method and system for cooperation of multiple persons |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211521183.2A CN115796838A (en) | 2022-11-30 | 2022-11-30 | Troubleshooting time estimation method and system for cooperation of multiple persons |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115796838A true CN115796838A (en) | 2023-03-14 |
Family
ID=85443819
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211521183.2A Pending CN115796838A (en) | 2022-11-30 | 2022-11-30 | Troubleshooting time estimation method and system for cooperation of multiple persons |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115796838A (en) |
-
2022
- 2022-11-30 CN CN202211521183.2A patent/CN115796838A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| 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 | |
| CN113326612A (en) | Power distribution network reliability assessment method and device | |
| Che et al. | Reliability analysis of load-sharing man-machine systems subject to machine degradation, human errors, and random shocks | |
| CN111782532A (en) | Software fault positioning method and system based on network abnormal node analysis | |
| Arora et al. | Testing effort based software reliability assessment incorporating FRF and change point | |
| CN106294174B (en) | The various dimensions measure and device of testing adequacy | |
| CN115796838A (en) | Troubleshooting time estimation method and system for cooperation of multiple persons | |
| CN115270078B (en) | Method and system for calculating average repair time of electromechanical equipment | |
| CN113408969B (en) | Maintenance scheme generation method and system for distributed system | |
| CN115688025A (en) | Method and system for estimating probability distribution of equipment fault repair time | |
| CN115759479B (en) | Complex equipment fault positioning optimization method and system based on comprehensive value | |
| Wagner | Towards software quality economics for defect-detection techniques | |
| CN111860881B (en) | Multi-incentive equipment fault maintenance and troubleshooting method and device | |
| CN112906237A (en) | Engine component fault analysis method and system | |
| CN115600045B (en) | Average detection time calculation method and system adopting universal detection tool for detection | |
| CN109388829B (en) | Electronic product service life measuring and calculating method | |
| CN116029692A (en) | Average maintenance time estimation method and system for complex equipment | |
| CN115293296B (en) | Mechanical equipment fault positioning optimization method and system | |
| CN115965195A (en) | Multi-person fault positioning optimization method and system based on equivalent inspection time | |
| CN116843231B (en) | Mechanical equipment use availability quantification method and system considering maintenance time consumption | |
| CN117390767B (en) | Reliability evaluation method, device and system for aviation onboard electronic equipment and medium | |
| CN115879719A (en) | Traversal partition-based parallel fault positioning optimization method and system | |
| CN113094217B (en) | Method for carrying out fault analysis and diagnosis on self-checking result in electronic system |
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 |