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Published in:
2011 | OriginalPaper | Chapter
Neural Network Expert System in the Application of Tower Fault Diagnosis
Authors : Xiaoyang Liu, Zhongwu Xia, Zhiyong Tao, Zhenlian Zhao
Published in: Advanced Research on Electronic Commerce, Web Application, and Communication
Publisher: Springer Berlin Heidelberg
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For the corresponding fuzzy relationship between the fault symptoms and the fault causes in the process of tower crane operation, this paper puts forward a kind of rapid new method of fast detection and diagnosis for common fault based on neural network expert system. This paper makes full use of expert system and neural network advantages, and briefly introduces the structure, function, algorithm and realization of the adopted system. Results show that the new algorithm is feasible and can achieve rapid faults diagnosis.