CN112307652B - Quick maintenance method for complex equipment system based on average remaining life importance - Google Patents

Quick maintenance method for complex equipment system based on average remaining life importance Download PDF

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CN112307652B
CN112307652B CN202011627596.XA CN202011627596A CN112307652B CN 112307652 B CN112307652 B CN 112307652B CN 202011627596 A CN202011627596 A CN 202011627596A CN 112307652 B CN112307652 B CN 112307652B
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隋少春
高恒一
邓凤
张整新
邓乾豹
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Chengdu Aircraft Industrial Group Co Ltd
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Abstract

The application relates to the technical field of maintenance and guarantee of electromechanical equipment, and discloses a quick maintenance method of a complex equipment system based on average residual life importance, aiming at the average residual life of the complex equipment, an MRL-importance method and a system reliability optimization mathematical model are provided, and compared with the traditional mathematical model based on the overall reliability of the system, the MRL-importance focuses more on the problem of reliability optimization of the complex equipment under the whole life cycle, the system reliability optimization is ensured, meanwhile, the requirements of a networking test system on the whole life cycle are better met, more accurate maintenance is beneficial to realization, over maintenance and under maintenance are prevented, further, the reliability theoretical system is perfected, the economic profit of enterprise units is finally increased, and the enterprise cost is reduced.

Description

Quick maintenance method for complex equipment system based on average remaining life importance
Technical Field
The application relates to the technical field of maintenance and guarantee of electromechanical equipment, in particular to a quick maintenance method of a complex equipment system based on average remaining life importance.
Background
The reliability is a key factor for ensuring the stable operation and the residual life of the complex equipment, and the average residual life is an important index for evaluating the reliability of the complex equipment. The system of the large-scale equipment is generally complex, how to quickly realize the reliability improvement of the complex equipment, and the reliability optimization method for determining the average remaining life of the complex equipment to be long enough is a key problem to be considered in the maintenance field.
The importance theory is an important link in the reliability theory, and is often applied to the fields of system reliability design, system reliability optimization, system reliability resource allocation and the like. The importance degree reflects the influence of the reliability change of the equipment in the system on the reliability of the system, and the key equipment in the system can be identified through the importance degree sorting. The method has the advantages that the average residual life of the complex equipment is prolonged, the reliability of the equipment with higher importance is preferentially improved, and the improvement amount of the system reliability can be maximized.
For example, in the prior art, publication numbers are: CN102623910A, published date: the invention relates to a Chinese invention patent named as a reliability-based switchgear maintenance decision method on the basis of 2012, 08 and 01, and the technical scheme is as follows: the invention provides a switch equipment maintenance decision method based on reliability; aiming at the defects of the existing switch equipment maintenance decision-making mode, a power system switch equipment reliability maintenance decision-making method is developed; the method applies a reliability maintenance theory, analyzes the aging condition of the switch equipment and sends out a maintenance early warning; analyzing the severity grade of the fault consequence of the switch equipment, quantitatively evaluating the importance of switch equipment components to be repaired by combining historical operation statistical data of the switch equipment, and sequencing a set of equipment to be repaired by applying historical statistical fault rate, voltage grade and equipment importance weight value of the equipment; and further adjusting a maintenance decision sequence of the equipment set to be maintained by a correlation switch searching method, and establishing a switch equipment maintenance schedule decision method considering maintenance capacity constraint and meteorological constraint by taking the missing power supply as an optimization target according to the sequence.
In addition, the invention patent does not consider a maintenance method for improving the reliability of the complex equipment under the condition of ensuring that the average residual life is long enough.
Disclosure of Invention
In order to make up the defect that the importance analysis and the lifting cost of the traditional complex equipment are separated from each other when the average remaining life is prolonged and solve the problems of resource waste and long consumed time in the process of improving the average remaining life of the complex equipment, the application combines the average remaining life lifting amount of the complex equipment, the reliability lifting amount of the complex equipment and the lifting cost analysis to determine an efficient maintenance guarantee scheme, and provides a rapid maintenance method of a complex equipment system based on the importance of the average remaining life.
In order to achieve the above object, the technical solution of the present application is as follows:
the key point of the method is that the average remaining life lifting amount and the reliability lifting amount of the complex equipment are jointly analyzed to determine a calculation method of the average remaining life importance, and then a complex equipment maintenance guarantee method is obtained. Firstly, analyzing the reliability improvement amount and the average residual life improvement amount of a system in complex equipment to determine a calculation method of the average residual life importance of the equipment; then, performing maintenance guarantee analysis on equipment in the complex equipment through average remaining life importance ranking; and finally, determining a complex system quick maintenance method based on equipment maintenance guarantee.
The method comprises the following concrete implementation steps:
s1, analyzing the reliability lift amount and the average residual life lift amount of the complex equipment system, and determining a calculation method of the average residual life importance of the equipment in the system;
s2, respectively calculating the average remaining life importance of n devices in the system according to the average remaining life importance calculation method of the devices determined in the step S1, sequencing the results, and maintaining the devices with the highest average remaining life importance in priority;
s3, performing maintenance support analysis on the equipment in the complex equipment system, and determining the rapid maintenance method of the complex equipment system based on the equipment maintenance support analysis.
Preferably, the step S1 specifically includes:
s11, determining the reliability function of the system, measuring the reliability of a plurality of devices and recording the reliability
Figure 940182DEST_PATH_IMAGE001
Wherein, in the step (A),
Figure 591743DEST_PATH_IMAGE002
presentation apparatus
Figure 230535DEST_PATH_IMAGE003
Reliability of (2); the method is characterized in that the states of all equipment are only two types of working and failure, wherein '1' represents working, and '0' represents failure;
s12, analyzing the average residual life of the equipment in the system;
suppose a device
Figure 94586DEST_PATH_IMAGE003
Is T, starts to operate when T =0, and maintains a normal operating state until the moment
Figure 643379DEST_PATH_IMAGE004
Then, the equipment
Figure 59317DEST_PATH_IMAGE003
The reliability of the normal working time can be continued
Figure 60771DEST_PATH_IMAGE005
Wherein the content of the first and second substances,
Figure 994092DEST_PATH_IMAGE006
is composed of
Figure 256446DEST_PATH_IMAGE004
Time-lapse equipment
Figure 984230DEST_PATH_IMAGE003
The conditional reliability function of (a);
Figure 332035DEST_PATH_IMAGE007
indicates a time of use greater than
Figure 803468DEST_PATH_IMAGE008
The time is normal and the service time is longer than
Figure 61274DEST_PATH_IMAGE009
Probability that the equipment is normal;
Figure 84593DEST_PATH_IMAGE010
indicates a time of use greater than
Figure 60639DEST_PATH_IMAGE009
Probability of normal equipment;
Figure 804605DEST_PATH_IMAGE011
indicates a time of use greater than
Figure 307130DEST_PATH_IMAGE008
Probability of normal equipment;
Figure 376717DEST_PATH_IMAGE012
indicates a time of use greater than
Figure 574480DEST_PATH_IMAGE009
Normal reliability function of the time equipment;
Figure 515279DEST_PATH_IMAGE013
indicates a time of use greater than
Figure 482098DEST_PATH_IMAGE008
Normal reliability function of the time equipment;
in that
Figure 988166DEST_PATH_IMAGE008
At time, the equipment
Figure 532280DEST_PATH_IMAGE003
Has an average residual life of
Figure 149206DEST_PATH_IMAGE015
When t =0, the average remaining life of the device indicates that the device is brand-new;
here, it is assumed that
Figure 95165DEST_PATH_IMAGE016
Figure 772134DEST_PATH_IMAGE017
Presentation apparatus
Figure 678910DEST_PATH_IMAGE003
Work to
Figure 958582DEST_PATH_IMAGE008
At the moment, the average remaining life accounts for the percentage of the average failure time;
Figure 899993DEST_PATH_IMAGE018
is shown in
Figure 747863DEST_PATH_IMAGE008
Time-lapse equipment
Figure 266569DEST_PATH_IMAGE003
Average remaining life of; MTTF represents the average operating time of the complex equipment system before failure;
s13, analyzing the reliability variation of the complex equipment system;
the physical significance of the importance of Birnbaum is the complexityEquipment in equipment system
Figure 225298DEST_PATH_IMAGE003
The influence of reliability changes on the reliability of complex equipment systems. Based on the physical significance of the Birnbaum importance, the variable quantity of the reliability of the complex equipment system can be obtained by means of the reliability improvement quantity of the equipment and the Birnbaum importance; suppose a device
Figure 21216DEST_PATH_IMAGE003
Reliability enhancement
Figure 164621DEST_PATH_IMAGE019
Then, the amount of change in the system reliability is
Figure 45989DEST_PATH_IMAGE020
Then, then
Figure 808409DEST_PATH_IMAGE021
Wherein the content of the first and second substances,
Figure 849046DEST_PATH_IMAGE022
presentation apparatus
Figure 773140DEST_PATH_IMAGE003
Birnbaum importance of;
Figure 407384DEST_PATH_IMAGE023
representing a reliability function of the system;
Figure 566969DEST_PATH_IMAGE024
presentation apparatus
Figure 603059DEST_PATH_IMAGE003
Reliability of (2);
Figure 698053DEST_PATH_IMAGE025
pair of function representing system reliability
Figure 819593DEST_PATH_IMAGE024
Calculating a partial derivative;
Figure 797518DEST_PATH_IMAGE026
is when the equipment
Figure 422535DEST_PATH_IMAGE003
Reliability of the system when the reliability of (1) is set;
Figure 954010DEST_PATH_IMAGE027
is when the equipment
Figure 421901DEST_PATH_IMAGE003
Reliability of the system when the reliability is 0;
s14, determining equipment
Figure 329814DEST_PATH_IMAGE003
Calculating the importance of the average residual life;
deriving the device from equations (2) and (3)
Figure 74916DEST_PATH_IMAGE003
Formula for calculating average remaining life importance
Figure 636347DEST_PATH_IMAGE028
Figure 466900DEST_PATH_IMAGE029
Presentation apparatus
Figure 912925DEST_PATH_IMAGE003
The reliability function of (2);
Figure 512534DEST_PATH_IMAGE030
representing a reliability function of the system;
Figure 244866DEST_PATH_IMAGE031
to representAn average remaining life function of the system;
in the condition that the reliability of the complex equipment is restricted, if the equipment
Figure 562715DEST_PATH_IMAGE003
Is selected to improve its reliability, the resulting complex equipment reliability improvement is
Figure 546852DEST_PATH_IMAGE032
. In view of the mathematical principle, the utility model,
Figure 391180DEST_PATH_IMAGE032
indicating a lifting device
Figure 435359DEST_PATH_IMAGE003
The reliability of the system, and, therefore,
Figure 240504DEST_PATH_IMAGE032
the contribution degree of the equipment to the improvement of the average residual life of the system in the reliability optimization of the complex equipment system can be measured under the condition of considering the value range of the equipment reliability, the improvement feasibility of the equipment reliability and the manufacturing difficulty of the equipment.
Preferably, the step S3 specifically includes:
s31, calculating the existing reliability of the system according to the reliability function of the complex equipment system
Figure 887386DEST_PATH_IMAGE033
；
S32, judging the existing reliability of the system
Figure 461587DEST_PATH_IMAGE033
With a specified system reliability
Figure 676668DEST_PATH_IMAGE034
In a relation of between, if
Figure 703529DEST_PATH_IMAGE035
Then executing subsequent equipment maintenance and guarantee operation; if it is
Figure 154102DEST_PATH_IMAGE036
If the equipment is not maintained, the equipment maintenance support operation is not executed, and the position information of the maintenance support equipment is output;
s33, in the complex equipment system, searching the equipment with the largest average remaining life importance, maintaining and ensuring the equipment and recording the position information of the corresponding equipment;
s34, calculating the reliability and average remaining life of the complex equipment system after the equipment is repaired, returning to the step S32, and repeatedly executing the steps S32 and S33 until the reliability of the complex equipment system meets the specified system reliability
Figure 582810DEST_PATH_IMAGE034
；
And S35, finally determining a maintenance guarantee scheme of the complex equipment system, and mainly recording the position information of the equipment needing maintenance, the reliability of the complex equipment system after maintenance guarantee is performed and the average residual life of the complex equipment system.
The beneficial effect of this application:
reliability is one of the basic properties of all devices or systems, is an important standard for evaluating one device or system, and the application proposes a reliability importance method based on MRL (mean remaining life) for the average remaining life of a complex equipment system. The reliability of the equipment or the system is optimized according to the MRL-importance method, the quality of the equipment or the system can be improved, and the average residual life of the equipment or the system can be prolonged.
Drawings
The foregoing and following detailed description of the present application will become more apparent when read in conjunction with the following drawings, wherein:
FIG. 1 is a flowchart of a complex equipment system maintenance support method based on average remaining life importance of the present application;
FIG. 2 is a flowchart of a maintenance method based on equipment maintenance support analysis according to the present application;
fig. 3 is a device distribution diagram of a complex networking test system in an embodiment.
Detailed Description
The technical solutions for achieving the objects of the present invention are further described below by specific examples, and it should be noted that the technical solutions claimed in the present application include, but are not limited to, the following examples.
The method for rapidly maintaining the complex equipment system based on the average remaining life importance of the application is described in detail with reference to the accompanying drawing 3 of the specification, in which a complex networking test system is taken as an implementation object
Figure 968792DEST_PATH_IMAGE037
It shows that the three test devices have two structures which can work normally if the system works normally. The networking test system is composed of 13 test devices which are respectively a self-tracking remote measurement device, a phased array radar device, a photoelectric theodolite station, an attitude center station, an attitude substation a, an attitude substation b, an attitude substation c, an infrared center station, an infrared substation d, an infrared substation e, an infrared substation f, an infrared substation g and a finger control center station, and each test device forms a complex networking test system with structures of series connection, parallel-series connection, k-out-of-n connection and the like.
Referring to the attached figure 1 of the specification, the quick maintenance method is specifically realized by the following modes and steps:
step S1, analyzing the devices in the complex networking test system, and finally determining the calculation method of the average remaining life importance of the devices under the condition that the reliability of the complex equipment is restricted, wherein the specific process is as follows:
step S11, in the complex installationIn the standby system, determining the reliability function of the system, monitoring the reliability of n devices in the system and recording the reliability as
Figure 873163DEST_PATH_IMAGE038
；
Firstly, determining a reliability function according to the complex networking test system, wherein in the system, the reliability function is shown in formula (6) if the states of all the devices are only two of working state and failure state:
Figure 2793DEST_PATH_IMAGE040
wherein the content of the first and second substances,
Figure 20427DEST_PATH_IMAGE041
representing the reliability function of the networking test system in this embodiment,
Figure 970453DEST_PATH_IMAGE042
represents the reliability function of the self-tracking telemetry in the networking test system of the embodiment,
Figure 971907DEST_PATH_IMAGE043
representing a reliability function of the phased array radar in the networking test system of the embodiment;
Figure 905228DEST_PATH_IMAGE044
representing a reliability function of the photoelectric theodolite station in the networking test system of the embodiment;
Figure 902003DEST_PATH_IMAGE045
representing a reliability function of the attitude center station in the networking test system of the embodiment;
Figure 895367DEST_PATH_IMAGE046
representing a reliability function of the attitude substation a in the networking test system of the embodiment;
Figure 384117DEST_PATH_IMAGE047
representing a reliability function of the attitude substation b in the networking test system of the embodiment;
Figure 855550DEST_PATH_IMAGE048
representing a reliability function of the attitude substation c in the networking test system of the embodiment;
Figure 237989DEST_PATH_IMAGE049
representing a reliability function of an infrared central station in the networking test system of the embodiment;
Figure 402254DEST_PATH_IMAGE050
representing a reliability function of the infrared substation d in the networking test system of the embodiment;
Figure 847142DEST_PATH_IMAGE051
representing a reliability function of an infrared substation e in the networking test system of the embodiment;
Figure 246900DEST_PATH_IMAGE052
representing a reliability function of the infrared substation f in the networking test system of the embodiment;
Figure 624791DEST_PATH_IMAGE053
representing a reliability function of the infrared substation g in the networking test system of the embodiment;
Figure 694378DEST_PATH_IMAGE054
representing a reliability function of a central control station in the networking test system of the embodiment;
weibull distribution is one of four types of distribution commonly used in system reliability studies, which show that exponential distribution is a special form of Weibull distribution, and that gaussian and logarithmic exponential distributions can be approximated by using Weibull distribution. Therefore, it is assumed herein that in the networking test system, the reliability functions of the respective test devices are two-parameter Weibull distributions;
here we give the reliability function size parameters of the 13 different test devicesNumber maximum value of
Figure 16775DEST_PATH_IMAGE055
The minimum value of the reliability function size parameter of the test equipment is
Figure 830011DEST_PATH_IMAGE056
The shape parameter in the reliability function of the test equipment is
Figure 62409DEST_PATH_IMAGE057
The reliability of the test equipment is improved to be feasible
Figure 302897DEST_PATH_IMAGE058
The baseline cost of the test equipment is
Figure 378170DEST_PATH_IMAGE059
And the current value of the reliability function dimension parameter of the test equipment is
Figure 729517DEST_PATH_IMAGE060
The specific parameter settings are shown in table 1;
TABLE 1 test equipment parameters for a complex networking test system
Figure 816421DEST_PATH_IMAGE061
Step S12, analyzing the average residual life of the networking test system;
when the networking test system runs for 50h, the reliability is
Figure 618024DEST_PATH_IMAGE062
；
When the networking test system runs for 50h, the average remaining life is
Figure 790379DEST_PATH_IMAGE063
；
Aiming at the networking test system, the reliability minimum value of the networking test system is considered to be optimized to
Figure 945417DEST_PATH_IMAGE064
On the premise of optimizing the cost
Figure 11462DEST_PATH_IMAGE065
Respectively controlled below 1500;
step S13, analyzing the reliability variation of the system in the networking test system;
the reliability variation of the system is expressed according to formula (4) by the maximum reliability improvement amount of the equipment and the average remaining life importance of the equipment. When the equipment is used
Figure 593753DEST_PATH_IMAGE066
Has a reliability improvement amount of
Figure 987825DEST_PATH_IMAGE067
In the above-mentioned order, wherein,
Figure 74118DEST_PATH_IMAGE068
presentation apparatus
Figure 135615DEST_PATH_IMAGE069
The maximum reliability improvement amount of (1), the variation of the system reliability is
Figure 154386DEST_PATH_IMAGE070
Then, then
Figure 160388DEST_PATH_IMAGE071
；
Step S14, calculating to obtain the average remaining life importance and Birnbaum importance of each device in the networking test system, and referring to the specific results shown in table 2, in the table,
Figure 657229DEST_PATH_IMAGE072
presentation device
Figure 573232DEST_PATH_IMAGE066
The average remaining life importance of (a) is,
Figure 762905DEST_PATH_IMAGE073
presentation apparatus
Figure 521782DEST_PATH_IMAGE066
Birnbaum importance of;
TABLE 2
Figure 556735DEST_PATH_IMAGE074
And
Figure 327244DEST_PATH_IMAGE075
result of calculation of (2)
Figure 812452DEST_PATH_IMAGE076
Step S2, calculating the average remaining life importance of the 13 devices in the networking system, sequencing the results, and maintaining the device with the maximum average remaining life importance preferentially; in this embodiment, the average remaining life importance of the attitude center station device is the greatest, and the attitude center station device should be considered preferentially;
and step S3, referring to the attached figure 2 of the specification, performing maintenance analysis on the equipment in the networking system, and determining a complex equipment system quick maintenance method based on the equipment maintenance analysis. Through multiple iterative computations, a solution meeting the constraint requirement is finally obtained, wherein the equipment maintenance condition is
Figure 668413DEST_PATH_IMAGE077
；
After maintenance guarantee, the average residual life of the networking test system is prolonged to
Figure 507056DEST_PATH_IMAGE078
；
Figure 522285DEST_PATH_IMAGE079
The average remaining life of the networking test system of the embodiment after 50h operation is shown.
The method is used for solving the problem that the reliability of the complex equipment under the whole life cycle is optimized by MRL-importance, and the requirement of a networking test system on the whole life cycle is better met while the reliability of the system is optimized, so that the method is beneficial to realizing more accurate maintenance, preventing over maintenance and under maintenance, further improving a reliability theoretical system, finally increasing economic profit of enterprise units and reducing enterprise cost.
The foregoing is directed to embodiments of the present invention, which are not limited thereto, and any simple modifications and equivalents thereof according to the technical spirit of the present invention may be made within the scope of the present invention.

Claims (2)

1. A quick maintenance method of a complex equipment system based on average remaining life importance is characterized in that: the method specifically comprises the following steps:
s1, analyzing the reliability lift amount and the average residual life lift amount of the complex equipment system, and determining a calculation method of the average residual life importance of the equipment in the system;
s2, respectively calculating the average remaining life importance of n devices in the system according to the average remaining life importance calculation method of the devices determined in the step S1, sequencing the results, and maintaining the devices with the highest average remaining life importance in priority;
s3, performing maintenance guarantee analysis on equipment in the complex equipment system, and determining a rapid maintenance method of the complex equipment system based on the equipment maintenance guarantee analysis;
the step S1 specifically includes:
s11, determining the reliability function of the system, measuring the reliability of a plurality of devices and recording the reliability
Figure DEST_PATH_IMAGE001
Wherein, in the step (A),
Figure DEST_PATH_IMAGE002
presentation apparatus
Figure DEST_PATH_IMAGE003
Reliability of (2); the method is characterized in that the states of all equipment are only two types of working and failure, wherein '1' represents working, and '0' represents failure;
s12, analyzing the average residual life of the equipment in the system;
suppose a device
Figure 893856DEST_PATH_IMAGE003
Is T, starts to operate when T =0, and maintains a normal operating state until the moment
Figure DEST_PATH_IMAGE004
Then, the equipment
Figure 215858DEST_PATH_IMAGE003
The reliability of the normal working time can be continued
Figure DEST_PATH_IMAGE006
Wherein the content of the first and second substances,
Figure DEST_PATH_IMAGE008
is composed of
Figure 385808DEST_PATH_IMAGE004
Time-lapse equipment
Figure 702389DEST_PATH_IMAGE003
The conditional reliability function of (a);
Figure DEST_PATH_IMAGE010
indicates a time of use greater than
Figure DEST_PATH_IMAGE011
The time is normal and the service time is longer than
Figure DEST_PATH_IMAGE012
Probability that the equipment is normal;
Figure DEST_PATH_IMAGE014
indicates a time of use greater than
Figure 237800DEST_PATH_IMAGE012
Probability of normal equipment;
Figure DEST_PATH_IMAGE016
indicates a time of use greater than
Figure 263525DEST_PATH_IMAGE011
Probability of normal equipment;
Figure DEST_PATH_IMAGE018
indicates a time of use greater than
Figure DEST_PATH_IMAGE019
Normal reliability function of the time equipment;
Figure DEST_PATH_IMAGE021
indicates a time of use greater than
Figure 842143DEST_PATH_IMAGE011
Normal reliability function of the time equipment;
in that
Figure 713147DEST_PATH_IMAGE011
At time, the equipment
Figure 365714DEST_PATH_IMAGE003
Has an average residual life of
Figure DEST_PATH_IMAGE023
Suppose that
Figure DEST_PATH_IMAGE025
Figure DEST_PATH_IMAGE026
Presentation apparatus
Figure 345696DEST_PATH_IMAGE003
Work to
Figure 834446DEST_PATH_IMAGE011
At the moment, the average remaining life accounts for the percentage of the average failure time;
Figure DEST_PATH_IMAGE028
is shown at the moment of time
Figure 227250DEST_PATH_IMAGE011
Lower equipment
Figure 422739DEST_PATH_IMAGE003
Average remaining life of; MTTF represents the average operating time of the complex equipment system before failure;
s13, analyzing the reliability variation of the complex equipment system;
suppose a device
Figure 587004DEST_PATH_IMAGE003
Reliability enhancement
Figure DEST_PATH_IMAGE029
Then, the amount of change in the system reliability is
Figure DEST_PATH_IMAGE030
Then, then
Figure DEST_PATH_IMAGE032
Wherein the content of the first and second substances,
Figure DEST_PATH_IMAGE034
presentation apparatus
Figure 611985DEST_PATH_IMAGE003
Birnbaum importance of;
Figure DEST_PATH_IMAGE036
representing a reliability function of the system;
Figure DEST_PATH_IMAGE037
presentation apparatus
Figure 215005DEST_PATH_IMAGE003
Reliability of (2);
Figure DEST_PATH_IMAGE039
pair of function representing system reliability
Figure 311006DEST_PATH_IMAGE037
Calculating a partial derivative;
Figure DEST_PATH_IMAGE041
is when the equipment
Figure 301964DEST_PATH_IMAGE003
Reliability of (1) time of the systemReliability;
Figure DEST_PATH_IMAGE043
is when the equipment
Figure 437411DEST_PATH_IMAGE003
Reliability of the system when the reliability is 0;
s14, determining equipment
Figure 694387DEST_PATH_IMAGE003
Calculating the importance of the average residual life;
deriving the device from equations (2) and (3)
Figure 661206DEST_PATH_IMAGE003
Formula for calculating average remaining life importance
Figure DEST_PATH_IMAGE045
Figure DEST_PATH_IMAGE047
Presentation apparatus
Figure 760749DEST_PATH_IMAGE003
The reliability function of (2);
Figure DEST_PATH_IMAGE049
representing a reliability function of the system;
Figure DEST_PATH_IMAGE051
representing the average remaining life function of the system.
2. The method for rapid maintenance of a complex equipment system based on average remaining life importance of claim 1, wherein: the step S3 specifically includes:
s31, according to the formulaMiscellaneous equipment system reliability function, computing system existing reliability
Figure DEST_PATH_IMAGE053
；
S32, judging the existing reliability of the system
Figure DEST_PATH_IMAGE054
With a specified system reliability
Figure DEST_PATH_IMAGE055
In a relation of between, if
Figure DEST_PATH_IMAGE057
Then executing subsequent equipment maintenance and guarantee operation; if it is
Figure DEST_PATH_IMAGE059
If the equipment is not maintained, the equipment maintenance support operation is not executed, and the position information of the maintenance support equipment is output;
s33, in the complex equipment system, searching the equipment with the largest average remaining life importance, maintaining and ensuring the equipment and recording the position information of the corresponding equipment;
s34, calculating the reliability and average remaining life of the complex equipment system after the equipment is repaired, returning to the step S32, and repeatedly executing the steps S32 and S33 until the reliability of the complex equipment system meets the specified system reliability
Figure 71907DEST_PATH_IMAGE055
；
And S35, finally determining a maintenance guarantee scheme of the complex equipment system, and mainly recording the position information of the equipment needing maintenance, the reliability of the complex equipment system after maintenance guarantee is performed and the average residual life of the complex equipment system.
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