Electric and Hydraulic Servo Actuator Fault Diagnosis Based on Genetic Optimization Neural Network

Yin Chao Chen; Wei Yang

doi:10.4028/www.scientific.net/AMM.148-149.1007

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 148-149Electric and Hydraulic Servo Actuator Fault...

Electric and Hydraulic Servo Actuator Fault Diagnosis Based on Genetic Optimization Neural Network

Abstract:

To resolve the complexity and uncertainty between the fault portent and the causes of electric and hydraulic actuator, a fault diagnosis model base on neural network arithmetic for actuator is designed. The genetic optimization arithmetic is used to initialize the value of weight and bias to improve the search efficiency and global convergence of the network. The simulation result indicate the feasibility and validity of the method based on genetic neural network model to diagnose the faults of electric and hydraulic servo actuator.

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Periodical:

Applied Mechanics and Materials (Volumes 148-149)

Pages:

1007-1010

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.148-149.1007

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Online since:

December 2011

Authors:

Yin Chao Chen, Wei Yang

Keywords:

Actuator, Fault Diagnosis, Genetic Arithmetic, Neural Network (NN)

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