CN111931334A - Method and system for evaluating operation reliability of cable equipment - Google Patents
Method and system for evaluating operation reliability of cable equipment Download PDFInfo
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Abstract
The invention discloses a method and a system for evaluating the operation reliability of cable equipment, and belongs to the technical field of operation and maintenance of power cable equipment. The method comprises the following steps: acquiring historical operation information of cable equipment, and establishing an equipment information base; generating an operation fingerprint according to the operation state characteristic quantity; performing data processing on the running fingerprint to generate a fingerprint database of running state characteristics of the cable equipment; and performing reliability evaluation on the operation of the cable equipment according to the reliability result. The invention can guide the scientific development of the operation and maintenance work of the cable equipment, realize the grading decision of the operation state of the cable and the lean management of the multidimensional state, strengthen the control force of the equipment state and optimize the operation and maintenance strategy of the equipment.
Description
Technical Field
The present invention relates to the field of operation and maintenance technologies for power cable equipment, and more particularly, to a method and a system for evaluating operational reliability of cable equipment.
Background
At present, cable run's fortune dimension is overhauld with the manual work and is looked round, state detection and on-line monitoring are leading, data discretization, islanding, fortune dimension personnel can't be patrolled or overhaul the in-process and effectively assess and master cable run state, also can't obtain circuit operation and state information data through system's platform, it receives certain restriction to patrol and examine efficiency, the data dispersion that the inspection was looked round in all kinds of check out equipment, data form or monitor platform, the form lacks unity standardization, be difficult to realize the information interaction, and it is complicated to type storage work flow.
According to the existing data condition of cable professional management and operation and inspection service, data such as ledgers, completions, inspection patrols, perception monitoring, maintenance records, professional management and the like exist in the form of multi-form images, texts and numbers, cross-data type analysis technology is few, centralized detection and monitoring data analysis are mainly used in the existing situation, correlation analysis and mining capacity among state quantities is insufficient, single-state data analysis which is mainly knowledge logic is mainly used in a large amount of research in the current stage, application of ledgers and maintenance data and data trend characteristics are few, cross-field, multi-dimensional and long-time data comprehensive analysis and study and judgment capacity is weak, and related patent technologies are lacked. In the application aspects of fault early warning study and judgment, cable aging state evaluation diagnosis, operation reliability analysis and evaluation and the like of similar equipment, most of patent technologies lack transverse study and judgment of the cable equipment under the same type and same working condition or longitudinal study and judgment based on historical overhaul and development trend according to single-moment or single-equipment field state detection/monitoring data, so that the analysis conclusion is often greatly deviated from the actual condition, and the practicability degree is extremely low.
Disclosure of Invention
In view of the above problems, the present invention provides a method for evaluating operational reliability of a cable device, comprising:
acquiring historical operation information of cable equipment, and establishing an equipment information base;
calling historical operation information stored in an equipment information base, selecting semaphore representing the operation state of the cable equipment in the historical operation information, generating operation state data of the cable equipment, processing the operation state data in a preset mode, extracting the operation state characteristic quantity of the cable equipment, and generating an operation fingerprint according to the operation state characteristic quantity;
performing data processing on the running fingerprint to generate a fingerprint database of running state characteristics of the cable equipment;
and determining the reliability result of the operation of the cable equipment according to the time-dependent covariate and the non-time-dependent covariate of the cable equipment and the operation state characteristic weight/probability coefficient of the cable equipment and the operation state characteristic of the cable equipment in the fingerprint database, and evaluating the reliability of the operation of the cable equipment according to the reliability result.
Optionally, the historical operation information includes: initial operating state information, normal operating state information, and defective/faulty operating state information of the cable device.
Optionally, the preset mode is that redundant data removal is performed on the operation state data according to a specific protocol.
Optionally, generating a fingerprint database of the operating status characteristics of the cable device includes:
dividing the running state characteristics of the cable equipment in the fingerprint database into state parameters of the cable and the accessory, and determining the correlation coefficient of the state parameters of the cable and the accessory;
determining running state data quantization risk factor fingerprints of the cables and the accessories according to the correlation coefficients and the weight/probability of the running state of the cable equipment, and determining the weight/probability of the running state data quantization risk factor fingerprints;
selecting the running state data quantization risk factor fingerprint with the maximum weight/probability, and establishing a fault representation data group of the cable and the accessory;
selecting characteristic parameters representing the severity of the defects of the cable equipment according to the fault representation data;
and establishing a mapping relation between the characteristic parameters and the running state of the cable equipment, and generating a data fingerprint database of the running state characteristics of the cable equipment according to the mapping relation.
Optionally, the evaluating comprises:
according to the reliability result, drawing a state decision curve of the cable equipment;
the state decision curve is a relation curve of a time-dependent covariate, a non-time-dependent covariate and a cable equipment running state characteristic weight/probability coefficient;
determining reliability according to the state decision curve, and grading the running state of the cable equipment according to the reliability;
and predicting the residual service life of the cable equipment according to the reliability.
The invention also provides a system for evaluating the operational reliability of cable equipment, which comprises:
the acquisition module acquires historical operation information of the cable equipment and establishes an equipment information base;
the first extraction module is used for calling historical operation information stored in the equipment information base, selecting semaphore representing the operation state of the cable equipment in the historical operation information, generating operation state data of the cable equipment, processing the operation state data in a preset mode, extracting the operation state characteristic quantity of the cable equipment, and generating an operation fingerprint according to the operation state characteristic quantity;
the second extraction module is used for carrying out data processing on the running fingerprint to generate a fingerprint database of running state characteristics of the cable equipment;
and the evaluation module is used for determining the reliability result of the operation of the cable equipment according to the time-dependent covariate and the time-independent covariate of the cable equipment and the characteristic weight/probability coefficient of the operation state of the cable equipment and the operation state characteristic of the cable equipment in the fingerprint database, and evaluating the reliability of the operation of the cable equipment according to the reliability result.
Optionally, the historical operation information includes: initial operating state information, normal operating state information, and defective/faulty operating state information of the cable device.
Optionally, the preset mode is that redundant data removal is performed on the operation state data according to a specific protocol.
Optionally, generating a fingerprint database of the operating status characteristics of the cable device includes:
dividing the running state characteristics of the cable equipment in the fingerprint database into state parameters of the cable and the accessory, and determining the correlation coefficient of the state parameters of the cable and the accessory;
determining running state data quantization risk factor fingerprints of the cables and the accessories according to the correlation coefficients and the weight/probability of the running state of the cable equipment, and determining the weight/probability of the running state data quantization risk factor fingerprints;
selecting the running state data quantization risk factor fingerprint with the maximum weight/probability, and establishing a fault representation data group of the cable and the accessory;
selecting characteristic parameters representing the severity of the defects of the cable equipment according to the fault representation data;
and establishing a mapping relation between the characteristic parameters and the running state of the cable equipment, and generating a data fingerprint database of the running state characteristics of the cable equipment according to the mapping relation.
Optionally, the evaluating comprises:
according to the reliability result, drawing a state decision curve of the cable equipment;
the state decision curve is a relation curve of a time-dependent covariate, a non-time-dependent covariate and a cable equipment running state characteristic weight/probability coefficient;
determining reliability according to the state decision curve, and grading the running state of the cable equipment according to the reliability;
and predicting the residual service life of the cable equipment according to the reliability.
The invention can guide the scientific development of the operation and maintenance work of the cable equipment, realize the grading decision of the operation state of the cable and the lean management of the multidimensional state, strengthen the control force of the equipment state and optimize the operation and maintenance strategy of the equipment.
Drawings
FIG. 1 is a flow chart of a method for assessing operational reliability of a cable plant in accordance with the present invention;
fig. 2 is a block diagram of a system for evaluating operational reliability of a cable plant according to the present invention.
Detailed Description
The exemplary embodiments of the present invention will now be described with reference to the accompanying drawings, however, the present invention may be embodied in many different forms and is not limited to the embodiments described herein, which are provided for complete and complete disclosure of the present invention and to fully convey the scope of the present invention to those skilled in the art. The terminology used in the exemplary embodiments illustrated in the accompanying drawings is not intended to be limiting of the invention. In the drawings, the same units/elements are denoted by the same reference numerals.
Unless otherwise defined, terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Further, it will be understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense.
The invention provides a method for evaluating the operational reliability of cable equipment, as shown in fig. 1, comprising:
acquiring historical operation information of cable equipment, and establishing an equipment information base;
calling historical operation information stored in an equipment information base, selecting semaphore representing the operation state of the cable equipment in the historical operation information, generating operation state data of the cable equipment, processing the operation state data in a preset mode, extracting the operation state characteristic quantity of the cable equipment, and generating an operation fingerprint according to the operation state characteristic quantity;
performing data processing on the running fingerprint to generate a fingerprint database of running state characteristics of the cable equipment;
and according to the time-dependent covariates and the non-time-dependent covariates of the cable equipment and the running state feature weight/probability coefficient of the cable equipment, performing classification normalization processing on the running state features of the cable equipment in the fingerprint database, determining a running reliability result of the cable equipment, and performing reliability evaluation on the running of the cable equipment according to the reliability result.
Wherein, the historical operating information comprises: initial operating state information, normal operating state information, and defective/faulty operating state information of the cable device.
The preset mode is that redundant data removal is carried out on the operation state data according to a specific protocol.
The fingerprint database for generating the running state characteristics of the cable equipment comprises the following steps:
dividing the running state characteristics of the cable equipment in the fingerprint database into state parameters of the cable and the accessory, and determining the correlation coefficient of the state parameters of the cable and the accessory;
determining running state data quantization risk factor fingerprints of the cables and the accessories according to the correlation coefficients and the weight/probability of the running state of the cable equipment, and determining the weight/probability of the running state data quantization risk factor fingerprints;
selecting the running state data quantization risk factor fingerprint with the maximum weight/probability, and establishing a fault representation data group of the cable and the accessory;
selecting characteristic parameters representing the severity of the defects of the cable equipment according to the fault representation data;
and establishing a mapping relation between the characteristic parameters and the running state of the cable equipment, and generating a data fingerprint database of the running state characteristics of the cable equipment according to the mapping relation.
Wherein, evaluating comprises:
according to the reliability result, drawing a state decision curve of the cable equipment;
the state decision curve is a relation curve of a time-dependent covariate, a non-time-dependent covariate and a cable equipment running state characteristic weight/probability coefficient;
determining reliability according to the state decision curve, and grading the running state of the cable equipment according to the reliability;
and predicting the residual service life of the cable equipment according to the reliability.
The invention is further illustrated by the following examples:
establishing an equipment information database;
establishing an equipment information base according to initial state information of equipment and historical normal operation information and fault information of the equipment, and providing deep data support for equipment fault diagnosis, wherein the equipment information base comprises an equipment normal operation information base, an equipment fault information base and an equipment initial state information base;
state perception and feature extraction;
selecting a semaphore capable of representing the running state of equipment in a state information base, detecting and collecting the semaphore to form running state data of the equipment, providing the most original state data for equipment fault diagnosis, processing and processing the collected running state data of the equipment according to a specific protocol, removing data redundancy, improving data quality, extracting running state characteristic quantity of the equipment, forming an 'running fingerprint' of the equipment, namely the running state data of the equipment representing the running state of the equipment, and providing diagnosis data for equipment fault diagnosis;
establishing a fingerprint database;
dividing the running state data defects and faults of the cable equipment into different state parameters of a cable body and an accessory for Analysis, analyzing the main defect Correlation of the body and the accessory in detail, and analyzing the Correlation between every two state quantities, namely a CCA Correlation coefficient rho based on typical Correlation Analysis (CCA);
for two sets of random variables X and y with dimensions p and q, respectively, let X ═ X1，x2，...，xn]∈Rp×n，Y＝[y1，y2，...，yn]∈Rq×nThe CCA aims to obtain a correlation coefficient of two groups of data;
if | ρ | > 1, a linear correlation between X and Y is indicated, which can be relaxed in engineering applications to | ρ | >0.9, but for a random variable nonlinear correlation, a single correlation coefficient cannot be characterized.
If | ρ | is less than or equal to 0.9, researching Correlation rules among variables by using methods such as cross-domain typical Correlation Analysis (CCADD), (mixed) probability typical Correlation Analysis ((Mix) PCCA), and Coupula function models, calculating data weight rules, data weight/probability rules and sequence direction anisotropy rules, and finding out the change rules of parameters such as the most appeared weight/probability, so as to obtain the data quantization risk factor fingerprint of the operation state quantity of the cable line and the channel;
establishing cable line fault representation data groups to which different equipment faults point by screening parameters such as the maximum weight/probability and the like;
in the process of extracting the defect severity evaluation parameters, constructing an original multi-source evaluation parameter set describing the defect development process, introducing new variables such as mutual information, maximum information coefficients and the like to measure the incidence relation between characteristic information and the defect severity, adopting weighting factors to measure the importance of redundancy and correlation, carrying out feature selection by taking the maximum correlation minimum redundancy as a criterion, and finally preferably selecting the characteristic parameters capable of representing the defect severity;
establishing a characteristic quantity set and a state evaluation mapping relation of the operation states of the cable lines and the tunnels through the analysis of the accuracy and reliability of the existing state monitoring quantity in the representation of the operation states of the cable lines and the tunnels;
finally, a cable line defect, fault and state characteristic representation data fingerprint database is formed;
4) evaluation of reliability
The relevant influencing factors related to the operational reliability of the cable can be divided into two categories, time-dependent covariates and non-time-dependent covariates. Time dependent covariates such as temperature, circulation, partial discharge, dielectric loss, air humidity, etc. of the cable, time independent covariates such as construction unit of cable, cable length, cable manufacturer, etc. According to the fingerprint library and the weight/probability coefficient thereof, the cable operation reliability characterization data can be classified and normalized, the time-dependent covariate and non-time-dependent covariate probability correlation and the probability rule thereof are established, and the calculation complexity of the weibull model is simplified;
the Weibull distribution can be used to analyze time dependent covariates, whose functional expression is shown in equation (2):
wherein XjIs a non-time dependent covariate, YjIs XjCorresponding regression coefficients, wherein n is the number of time-dependent covariates, beta is a Weibull distribution shape parameter, and eta is a Weibull scale parameter;
the reliability represents the probability of normal operation of the equipment within time t, and the reliability function corresponding to the Weibull proportional risk model is as follows:
the failure probability density function is:
f(t，X)＝h(t，X)·R(t，X) (4)
constructing a likelihood function of the fault probability density function:
wherein n is the total number of data, m is the number of fault data, and n-m represents the number of tail data;
when K is 0, the initial values β of β, η, and α are substituted0，η0And alpha0Solving is carried out to obtain the shape parameters of Weibull distribution, the reliability is calculated according to the Weibull distribution, and the final reliability evaluation is obtained by combining the state evaluation resultThe result is;
and meanwhile, fault data and state data of the cable are analyzed, a state decision curve of the cable is drawn by solving parameters of the model, the state of the cable is divided into three types of normal work, critical zone and maintenance according to the reliability, and the residual life of the cable can be predicted.
The present invention also proposes a system 200 for evaluating the operational reliability of a cable plant, as shown in fig. 2, comprising:
the acquisition module 201 is used for acquiring historical operation information of the cable equipment and establishing an equipment information base;
the first extraction module 202 is used for calling historical operation information stored in the equipment information base, selecting semaphore representing the operation state of the cable equipment in the historical operation information, generating operation state data of the cable equipment, processing the operation state data in a preset mode, extracting the operation state characteristic quantity of the cable equipment, and generating an operation fingerprint according to the operation state characteristic quantity;
the second extraction module 203 is used for performing data processing on the running fingerprint to generate a fingerprint database of running state characteristics of the cable equipment;
the evaluation module 204 performs classification normalization processing on the operation state features of the cable equipment in the fingerprint database according to the time-dependent covariates and the time-independent covariates of the cable equipment and the operation state feature weight/probability coefficient of the cable equipment, determines the reliability result of the operation of the cable equipment, and performs reliability evaluation on the operation of the cable equipment according to the reliability result.
Wherein, the historical operating information comprises: initial operating state information, normal operating state information, and defective/faulty operating state information of the cable device.
The preset mode is that redundant data removal is carried out on the operation state data according to a specific protocol.
The fingerprint database for generating the running state characteristics of the cable equipment comprises the following steps:
dividing the running state characteristics of the cable equipment in the fingerprint database into state parameters of the cable and the accessory, and determining the correlation coefficient of the state parameters of the cable and the accessory;
determining running state data quantization risk factor fingerprints of the cables and the accessories according to the correlation coefficients and the weight/probability of the running state of the cable equipment, and determining the weight/probability of the running state data quantization risk factor fingerprints;
selecting the running state data quantization risk factor fingerprint with the maximum weight/probability, and establishing a fault representation data group of the cable and the accessory;
selecting characteristic parameters representing the severity of the defects of the cable equipment according to the fault representation data;
and establishing a mapping relation between the characteristic parameters and the running state of the cable equipment, and generating a data fingerprint database of the running state characteristics of the cable equipment according to the mapping relation.
Wherein, evaluating comprises:
according to the reliability result, drawing a state decision curve of the cable equipment;
the state decision curve is a relation curve of a time-dependent covariate, a non-time-dependent covariate and a cable equipment running state characteristic weight/probability coefficient;
determining reliability according to the state decision curve, and grading the running state of the cable equipment according to the reliability;
and predicting the residual service life of the cable equipment according to the reliability.
The method establishes the weight, the probability and the change rule among the faults, the defects and the states of the cable equipment, the relevant time-dependent covariates and the non-time-dependent covariates, simplifies the solving process of the Weibull long-term operation reliability evaluation model, can diagnose different diagnosis requirements, selects different variable groups to be brought into the Weibull distribution model to calculate the reliability state grade of the cable line, guides the scientific development of operation and maintenance work, realizes the grading decision of the operation state of the cable and the lean management of the multidimensional state, strengthens the control force of the equipment state, and optimizes the operation and maintenance strategy of the equipment.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein. The scheme in the embodiment of the application can be implemented by adopting various computer languages, such as object-oriented programming language Java and transliterated scripting language JavaScript.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While the preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all alterations and modifications as fall within the scope of the application.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.
Claims (10)
1. A method for assessing operational reliability of a cable plant, the method comprising:
acquiring historical operation information of cable equipment, and establishing an equipment information base;
calling historical operation information stored in an equipment information base, selecting semaphore representing the operation state of the cable equipment in the historical operation information, generating operation state data of the cable equipment, processing the operation state data in a preset mode, extracting the operation state characteristic quantity of the cable equipment, and generating an operation fingerprint according to the operation state characteristic quantity;
performing data processing on the running fingerprint to generate a fingerprint database of running state characteristics of the cable equipment;
and determining the reliability result of the operation of the cable equipment according to the time-dependent covariate and the non-time-dependent covariate of the cable equipment and the operation state characteristic weight/probability coefficient of the cable equipment and the operation state characteristic of the cable equipment in the fingerprint database, and evaluating the reliability of the operation of the cable equipment according to the reliability result.
2. The method of claim 1, the historical operational information, comprising: initial operating state information, normal operating state information, and defective/faulty operating state information of the cable device.
3. The method of claim 1, wherein the predetermined manner is to perform redundant data removal on the operation status data according to a specific protocol.
4. The method of claim 1, the generating a fingerprint database of cable plant operational status features, comprising:
dividing the running state characteristics of the cable equipment in the fingerprint database into state parameters of the cable and the accessory, and determining the correlation coefficient of the state parameters of the cable and the accessory;
determining running state data quantization risk factor fingerprints of the cables and the accessories according to the correlation coefficients and the weight/probability of the running state of the cable equipment, and determining the weight/probability of the running state data quantization risk factor fingerprints;
selecting the running state data quantization risk factor fingerprint with the maximum weight/probability, and establishing a fault representation data group of the cable and the accessory;
selecting characteristic parameters representing the severity of the defects of the cable equipment according to the fault representation data;
and establishing a mapping relation between the characteristic parameters and the running state of the cable equipment, and generating a data fingerprint database of the running state characteristics of the cable equipment according to the mapping relation.
5. The method of claim 1, the evaluating, comprising:
according to the reliability result, drawing a state decision curve of the cable equipment;
the state decision curve is a relation curve of a time-dependent covariate, a non-time-dependent covariate and a cable equipment running state characteristic weight/probability coefficient;
determining reliability according to the state decision curve, and grading the running state of the cable equipment according to the reliability;
and predicting the residual service life of the cable equipment according to the reliability.
6. A system for assessing operational reliability of a cable plant, the system comprising:
the acquisition module acquires historical operation information of the cable equipment and establishes an equipment information base;
the first extraction module is used for calling historical operation information stored in the equipment information base, selecting semaphore representing the operation state of the cable equipment in the historical operation information, generating operation state data of the cable equipment, processing the operation state data in a preset mode, extracting the operation state characteristic quantity of the cable equipment, and generating an operation fingerprint according to the operation state characteristic quantity;
the second extraction module is used for carrying out data processing on the running fingerprint to generate a fingerprint database of running state characteristics of the cable equipment;
and the evaluation module is used for determining the reliability result of the operation of the cable equipment according to the time-dependent covariate and the time-independent covariate of the cable equipment and the characteristic weight/probability coefficient of the operation state of the cable equipment and the operation state characteristic of the cable equipment in the fingerprint database, and evaluating the reliability of the operation of the cable equipment according to the reliability result.
7. The system of claim 6, the historical operational information, comprising: initial operating state information, normal operating state information, and defective/faulty operating state information of the cable device.
8. The system of claim 6, wherein the predetermined manner is to perform redundant data removal on the operation status data according to a specific protocol.
9. The system of claim 6, the generating a fingerprint database of cable plant operational status features, comprising:
dividing the running state characteristics of the cable equipment in the fingerprint database into state parameters of the cable and the accessory, and determining the correlation coefficient of the state parameters of the cable and the accessory;
determining running state data quantization risk factor fingerprints of the cables and the accessories according to the correlation coefficients and the weight/probability of the running state of the cable equipment, and determining the weight/probability of the running state data quantization risk factor fingerprints;
selecting the running state data quantization risk factor fingerprint with the maximum weight/probability, and establishing a fault representation data group of the cable and the accessory;
selecting characteristic parameters representing the severity of the defects of the cable equipment according to the fault representation data;
and establishing a mapping relation between the characteristic parameters and the running state of the cable equipment, and generating a data fingerprint database of the running state characteristics of the cable equipment according to the mapping relation.
10. The system of claim 6, the evaluating, comprising:
according to the reliability result, drawing a state decision curve of the cable equipment;
the state decision curve is a relation curve of a time-dependent covariate, a non-time-dependent covariate and a cable equipment running state characteristic weight/probability coefficient;
determining reliability according to the state decision curve, and grading the running state of the cable equipment according to the reliability;
and predicting the residual service life of the cable equipment according to the reliability.
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