Fault diagnosis of 40TM liquid-gas hammer based on BP algorithm: Artificial Neural Network

Miao Xie,Zhuo Wang,Kangkang Li,Sheng Chang,Jun Murai

doi:10.1109/cecnet.2011.5768925

Fault diagnosis of 40TM liquid-gas hammer based on BP algorithm: Artificial Neural Network

Miao Xie, Zhuo Wang + Show 3 more

https://doi.org/10.1109/cecnet.2011.5768925

Copy DOI

Publication Date: Apr 1, 2011

Affiliation: Criminal Investigation Police University of China, Liaoning Technical University

#Neural Networks In Fault Diagnosis #Networks In Fault Diagnosis + Show 8 more

Abstract
Full-Text PDF
Similar Papers

Abstract

The basic principle of Artificial Neural Networks and BP algorithm was introduced in this paper. The application of BP algorithm Artificial Neural Networks in fault diagnosis of 40TM liquid-gas hammer was studied. The superiority of BP algorithm Artificial Neural Networks in fault diagnosis was proved by the MATLAB simulation and the training. The causes of faults were determined by BP algorithm Artificial Neural Networks.

Full Text