Research on Fault Diagnosis Model of Tank Equipment

Abstract:

Taking the common fault to a certain type of short-wave radio as an example, Bayesian network, expert system and BP neural network theory were used to construct three intelligent fault diagnosis models, respectively by Genie, CLIPS and MATLAB software simulation. The results show that the three intelligent fault diagnosis method compared with the traditional method, a rapid and accurate diagnostic performance model can be extended to other communications and electronic equipment fault diagnosis.

• Periodical: Applied Mechanics and Materials (Volume 329)
• Pages: 359-363
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.329.359
• Online since: June 2013
• Authors: Zeng Zhang, Ming Yang, Bao Liang Dong, Xiao Bo Wang
• Keywords: Bayesian Network (BN), Communications Equipment, Expert System, Fault Diagnosis, Neural Network (NN)

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