自然科学版 英文版
自然科学版 英文版
自然科学版 英文版

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中南大学学报(英文版)

Journal of Central South University

Vol. 2    No. 1    June 1995

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FAULT DIAGNOSIS OF HYDRAULIC PUMPS USING IMPROVED NEURAL NETWORK+
Yang Hongzhi1; Tan Guanzheng1; Li Zhuangyun2

1. Department of Automatic Control Engineering, Central South University of Technology, Changsha, 410083, China;
2. Department of Mechanical Engineering, Huazhong University of Science and Technologyy, Wuhan, 430074, China

Abstract:A new neural network model based on multi-layer perceptron for fault diagnosis of hydraulic pumps is presented, and a framework,ranging from fault signal pick and pre-processing to fault diagnosis, is established. Finally a test was done on an axial piston pump. The result shows that the proposed method is effective and can be applied to other hydraulic components. 

 

Key words: neural network; fault diagnosis; algorithms

中南大学学报(自然科学版)
  ISSN 1672-7207
CN 43-1426/N
ZDXZAC
中南大学学报(英文版)
  ISSN 2095-2899
CN 43-1516/TB
JCSTFT
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