Coordination Fault Diagnosis Based on RBF

Rui Hua Xu; Zheng Zhou Wang; Ya Dong Yan; Cai Wen Ma

doi:10.4028/www.scientific.net/AMM.329.278

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 329Coordination Fault Diagnosis Based on RBF

Coordination Fault Diagnosis Based on RBF

Abstract:

In large-scale complex system, The establishment of a fast, accurate fault diagnosis system is more difficult because there exist many uncertain elements between the fault cause and the fault sign .A fault diagnosis system is established based on RBF cloud neural network ,the RBR (rule-based reasoning) and the CBR (case-based reasoning).The fault diagnosis system not only has the advantages of self-learning, high accuracy, randomness, fuzziness, etc ,and has the advantages of independently of mathematical model ,rich knowledge representation, mighty problem solving ability, etc. Theoretical analysis and simulation results show that the system is feasible and effective for fast and accurate fault positioning of complex systems.

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Periodical:

Applied Mechanics and Materials (Volume 329)

Pages:

278-282

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.329.278

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Online since:

June 2013

Authors:

Rui Hua Xu, Zheng Zhou Wang, Ya Dong Yan, Cai Wen Ma

Keywords:

CBR, Coordination Diagnosis, RBF Cloud Neural Network, RBR

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