Risk Assessment of XLPE Power Cables Based on Fuzzy Comprehensive Evaluation Method

Huan, Jiajia; Wang, Gang; Li, Haifeng

doi:10.1109/appeec.2010.5448712

Cited by 5 publications

(3 citation statements)

References 8 publications

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“…Authors in Ref. [3] established a multi-level index system of cable state evaluation in accordance with the division of different cable parts, but they did not put forward feasible measures for the condition assessment when information was incomplete.…”

Section: Introductionmentioning

confidence: 99%

“…Much researches associated with condition assessment methods of power cable have been done, such as fuzzy mathematical method [4][5][6], data mining method [7], analytic hierarchy process (AHP) [3], decision tree technology [8], D-S evidence theory [9] and measuring methods in view of specific characteristics [10][11][12][13]. But these evaluation methods will be subject to a certain subjective influence, and the status of the cable under the condition of incomplete information cannot be a scientific and effective evaluation.…”

Section: Introductionmentioning

confidence: 99%

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Condition Assessment of Power Cable for Incomplete Information Based on Probabilistic Neural Network

Li¹,

Fan²,

Kang³

et al. 2017

IJCA

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A new assessment method based on the combination of factor analysis and probabilistic neural network (PNN) is proposed to meet the research of main equipment condition-based maintenance in power distribution network ． As the quantity of parameters that represent the state of the cable is many，the multi-source information database is established ． The missing parameters for incomplete information is eliminated，and the factor analysis is used to calculate the main factors of the database and their factor scores, and the probability neural network was used to evaluate the operation status of the cable, then obtain a condition assessment method of power cable based on the probability neural network．Simulation results show that the proposed method could assess the state of power cable condition for the incomplete information effectively and accurately, and also provide reliable guidance for the cable maintenance.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Condition Assessment of Power Cable for Incomplete Information Based on Probabilistic Neural Network

Li¹,

Fan²,

Kang³

et al. 2017

IJCA

View full text Add to dashboard Cite

show abstract

“…Health evaluation is a comprehensive evaluation process, which means that the electrical equipment's health state is evaluated by various state parameters, according to the health state, the hidden defects of equipment are found out in time and Power Supply Company can conduct the maintenance to make sure that the equipment is in healthy condition [6]. This paper adopts Fuzzy Variable Weight Analysis method to evaluate the health degree of distribution equipments.…”

Section: Health State and Failure Ratementioning

confidence: 99%

Maintenance Scheduling of Distribution System with Optimal Economy and Reliability

Hong¹,

Li²,

Wang³

2013

ENG

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With the continuous expansion of power distribution grid, the number of distribution equipments has become larger and larger. In order to make sure that all the equipments can operate reliably, a large amount of maintenance tasks should be conducted. Therefore, maintenance scheduling of distribution network is an important content, which has significant influence on reliability and economy of distribution network operation. This paper proposes a new model for maintenance scheduling which considers load loss, grid active power loss and system risk as objective functions. On this basis, Differential Evolution algorithm is adopted to optimize equipment maintenance time and load transfer path. Finally, the general distribution network of 33 nodes is taken for example which shows the maintenance scheduling model's effectiveness and validity.

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Insulation ageing diagnosis of XLPE power cables under service conditions

Liu

Wang

Jiang

2012

2012 IEEE International Conference on Condition Monitoring and Diagnosis

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Risk Assessment of XLPE Power Cables Based on Fuzzy Comprehensive Evaluation Method

Cited by 5 publications

References 8 publications

Condition Assessment of Power Cable for Incomplete Information Based on Probabilistic Neural Network

Condition Assessment of Power Cable for Incomplete Information Based on Probabilistic Neural Network

Maintenance Scheduling of Distribution System with Optimal Economy and Reliability

Insulation ageing diagnosis of XLPE power cables under service conditions

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