Journal ArticleDOI
Feature extraction and severity assessment of partial discharge under protrusion defect based on fuzzy comprehensive evaluation
Fu-ping Zeng,Yu-lin Dong,Ju Tang +2 more
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TLDR
In this paper, a step voltage method was applied to investigate the partial discharge development process of typical protrusion defects in gas-insulated switchgear, and two-level fuzzy comprehensive evaluation (TL-FCE) model was established to address the problem of weight allocation of different features on the evaluation result.Abstract:
Partial discharge (PD) is an early manifestation of insulation fault that occurs in electrical equipment, which holds rich feature information used to insulation assessment. In this study, step voltage method was applied to investigate the PD development process of typical protrusion defects in gas-insulated switchgear. Nine features were extracted to represent the deterioration degree of internal insulation. Fuzzy C means clustering was applied to solve the state centres. PD severity was divided into four states based on the PD developing process, and the harmfulness of each state was illustrated. Finally, adaptive objective weight technology based on the theory of maximising deviation was adopted, and two-level fuzzy comprehensive evaluation (TL-FCE) model was established to address the problem of the weight allocation of different features on the evaluation result. The experimental test has been conducted to test the validity and effectiveness of the model. It is proved that TL-FCE owns good performance to assess PD severity, and it is more suitable to handle fuzzy boundary problems than support vector machine.read more
Citations
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Journal ArticleDOI
Condition Monitoring Based on Partial Discharge Diagnostics Using Machine Learning Methods: A Comprehensive State-of-the-Art Review
TL;DR: This paper presents a state-of-the-art review on machine learning (ML) based intelligent diagnostics that have been applied for partial discharge (PD) detection, localization, and pattern recognition.
Journal ArticleDOI
Research on multi-attribute decision-making in condition evaluation for power transformer using fuzzy AHP and modified weighted averaging combination
TL;DR: A novel evaluation model for transformer is proposed, by integrating the merits of fuzzy set theory, fuzzy analytical hierarchical process (AHP), and modified weighted averaging combination, and the results of field examples indicate that the method can evaluate the transformer health condition effectively.
Journal ArticleDOI
Triangle Fault Diagnosis Method for SF 6 Gas-Insulated Equipment
TL;DR: A triangle fault diagnosis method for field diagnosis of SF6 GIE was constructed and can provide a simple and effective field diagnostics technology for the power industry.
Journal ArticleDOI
A High Sensitivity Optical Fiber Sensor for GIS Partial Discharge Detection
TL;DR: In this article, a high sensitivity optical fiber sensor for detecting the acoustic emission generated by the partial discharge in gas-insulated switchgear (GIS) was proposed, and the experimental results show that the detectable partial discharge initial voltage for the proposed optical system is 17.1% lower than that for the conventional lead zirconate titanate (PZT) system.
Journal ArticleDOI
Time–frequency analysis of PD-induced UHF signal in GIS and feature extraction using invariant moments
TL;DR: A novel system of features extraction and classification of UHF signals is summarised and Hu's invariant moments of energy density distribution are extracted as features in time-frequency plane.
References
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Journal ArticleDOI
Support-Vector Networks
Corinna Cortes,Vladimir Vapnik +1 more
TL;DR: High generalization ability of support-vector networks utilizing polynomial input transformations is demonstrated and the performance of the support- vector network is compared to various classical learning algorithms that all took part in a benchmark study of Optical Character Recognition.
Journal ArticleDOI
An Integrated Decision-Making Model for Condition Assessment of Power Transformers Using Fuzzy Approach and Evidential Reasoning
TL;DR: An integrated model based upon the fuzzy approach and evidential reasoning decision-making approach to condition assessment of power transformers is presented and shows that the assessing model is capable of offering an overall evaluation of the observed transformer condition.
Journal ArticleDOI
Knowledge-based diagnosis of partial discharges in power transformers
TL;DR: In this paper, a knowledge-based decision support system is proposed to provide engineers with a comprehensive diagnosis of the defects responsible for partial discharge activity detected in oil-filled power transformers.
Journal ArticleDOI
Aging condition assessment of transformer oil-paper insulation model based on partial discharge analysis
TL;DR: In this paper, an accelerated aging condition assessment of oil-paper transformer insulation based on partial discharge analysis was presented to realize statistical parameters reduction, and the extracted feature factors of this proposed model were used to identify oil paper samples with different aging degrees.
Journal ArticleDOI
Study on mathematical model for VHF partial discharge of typical insulated defects in GIS
TL;DR: In this paper, a very high frequency (VHF) measurement is used for partial discharge (PD) detection in gas insulated substation (GIS) using VHF method and the parameters of the mathematical models are given and the validity of PD mathematical model is proved by fitting error, power spectrum and timefrequency analysis.