Application of Fault Diagnosis for Air Blower Based on Genetic Fuzzy Neural Network

Xiao Hui Li; Hui Yu Yang

doi:10.4028/www.scientific.net/AMM.401-403.1336

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 401-403Application of Fault Diagnosis for Air Blower...

Application of Fault Diagnosis for Air Blower Based on Genetic Fuzzy Neural Network

Abstract:

The way of fault characteristic parameters fuzzy processing and optimizing the weights and thresholds of ANN by GA are studied. As a result, the convergent rate and convergent precision are greatly increased. Application to the fault diagnosis of a air blower system shows the new model overcomes the low learning rate and local optima of BP algorithm, and the fault diagnosis precision is effectively improved.

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Periodical:

Applied Mechanics and Materials (Volumes 401-403)

Pages:

1336-1340

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.401-403.1336

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Online since:

September 2013

Authors:

Xiao Hui Li, Hui Yu Yang

Keywords:

Air Blower, Fault Diagnosis, Fuzzy Neural Network (FNN), Genetic Algorithm (GA)

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