Affiliation:
1. Changchun University
2. Changchun University of Technology
Abstract
According to the characteristics of the large equipment, electromagnetic interference, using neural network method is put forward a set of for large electronic equipment electromagnetic coupling and interference, the analysis of the expert system based on the large electronic equipment as analysis object, the common interference on the interference classification and coding, the BP neural network is constructed, using neural network, the inference mechanism of expert system for the optimization design, and test verification.
Publisher
Trans Tech Publications, Ltd.
Reference5 articles.
1. HE Yong Multimedia Fault Diagnosis Expert System of Gasoline Engines Based on Artificial Neural Networks and Expert System, Transactions of Csice , 2001, 19(3).
2. Rodriguez C. A Modular Neural Network Approach to Diagnosis[J]. IEEE Transactions on Neural Networks, 1996, (02): 326-340.
3. Lee Heung-Jae, Ahn Bok-Skin, Park Young-Moon. A fault diagnosis expert system for distribution substations[J]. IEEE Transactions on Power Delivery, 2000, (01): 92-97. doi: 10. 1109/61. 847234.
4. Liu Zenghuan, Circuit breakers' fault diagnosis based on RBF neural network and expert system, Application of Electronic Technique, 2014, 40(7).
5. S.Frei,R.Jobava;Coupling of Inhomogeneous Fields into aa Automotive Cable Harness with Arbitrat3'Terminations[C],1 4th International Zurich Symposium on EMC:Zurich,2001.