Research on Fault Diagnosis Algorithm Based on Multi-Source Data Analysis

Lin Niu; Ya Jin Li; Jin Xin Huang; Jie Zhan; Meng Chao Ma; Jin Tao Cui; Guo Tao Lu

doi:10.4028/www.scientific.net/AMM.738-739.670

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 738-739Research on Fault Diagnosis Algorithm Based on...

Research on Fault Diagnosis Algorithm Based on Multi-Source Data Analysis

Abstract:

Based on multi-source substation equipment inspection data, this article achieve fault diagnosis in the case of incomplete understanding of the mechanism of substation equipment, by establishing fault diagnosis model.This article selected a substation equipment failures and operational information in different conditions as simulation study. The simulation results show the feasibility of the algorithm. Compared with the traditional fault diagnosis model, this method is more flexible , have a stronger ability to handle noisy data and good prospects.

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Periodical:

Applied Mechanics and Materials (Volumes 738-739)

Pages:

670-673

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.738-739.670

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Online since:

March 2015

Authors:

Lin Niu*, Ya Jin Li, Jin Xin Huang, Jie Zhan, Meng Chao Ma, Jin Tao Cui, Guo Tao Lu

Keywords:

Fault Diagnosis, Fuzzy Clustering, Multi-Source

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* - Corresponding Author

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