ICA and BP Neutral Network Based Fault Detecting Algorithm for Large Engine

Author:

Jiang Yong Mei1

Affiliation:

1. Harbin University of Science and Technology

Abstract

With the rapid development of information technology, some experience intensive work like fault detecting has been greatly improved by information technology. Traditional fault detecting method depends on the knowledge of expert to some extent which can not satisfy the requirement of large engine, which is with poor testability. Regarding this problem, this paper apply the technology of Independent Components Analysis (ICA) and BP neutral network to the process of fault detecting, the accuracy and efficiency are greatly improved with these methods, and the experiment result has proven the validity of the method described.

Publisher

Trans Tech Publications, Ltd.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Learning from the Crowd with Neural Network;2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA);2015-12

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