A Fault Diagnosis Method Based on Combination of Neural Network and Fault Dictionary

Abstract:

Neural network and Fault dictionary are two kinds of very useful fault diagnosis method. But for large scale and complex circuits, the fault dictionary is huge, and the speed of fault searching affects the efficiency of real-time diagnosing. When the fault samples are few, it is difficulty to train the neural network, and the trained neural network can not diagnose the entire faults. In this paper, a new fault diagnosis method based on combination of neural network and fault dictionary is introduced. The fault dictionary with large scale is divided into several son fault dictionary with smaller scale, and the search index of the son dictionary is organized with the neural networks trained with the son fault dictionary. The complexity of training neural network is reduced, and this method using the neural networks ability that could accurately describe the relation between input data and corresponding goal organizes the index in a multilayer binary tree with many neural networks. Through this index, the seeking scope is reduced greatly, the searching speed is raised, and the efficiency of real-time diagnosing is improved. At last, the validity of the method is proved by the experimental results.

• Periodical: Advanced Materials Research (Volumes 765-767)
• Pages: 2078-2081
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.765-767.2078
• Online since: September 2013
• Authors: Ya Feng Meng, Sai Zhu, Rong Li Han
• Keywords: Binary Tree, Fault Dictionary, Fault Search, Index, Neural Network (NN)

References

[1] YANG Shiyuan. The fault diagnosis and design for reliability of analogue system. Tsinghua university press, 2001, pp.10-32(In Chinese).

[2] Vamsi Boppana. Fault Dictionary Compaction Using Structural and Tree-Based Techniques. Center for Reliable and High Performance Computing, (1996).

[3] Yunqing Chen. Experment on Fault Location on Large-scale Analog Circuits. IEEE Transactions on Instrumentation and Measurement. 1993, 42(1), pp.30-34.

DOI: 10.1109/19.206675

[4] CAI Jinyan, CHEN Shengjian, HE Qiang. A Fault Dictionary Method of Fault Component Locating Step by Step. JOURNAL OF ELECTORONIC MEASUREMENT AND INSTRUMENT. 1997, 11(2): 48-52 (In Chinese).

[5] HOU Xiong, SUN Ningsheng. Research on Pattern Matching Algorithm of Fault Dictionaries[J]. AEROSPACE CONTROL. 1998, 2: 54-58 (In Chinese).

[6] B. Cannas, A. Fanni, S. Manetti, etc. Neural network-based analog fault diagnosis using testability analysis. Neural Computing & Applications. 2004, 13(4): 288-298.

DOI: 10.1007/s00521-004-0423-2