Research on Photoelectric Equipment Fault Diagnosis System Based on RS and Networks

Abstract:

Rough Sets (RS) networks and expert system theory were applied to the photoelectric equipment fault diagnosis, and the intelligent diagnosis expert system was built. The accuracy and efficiency of photoelectric equipment fault diagnosis were significantly improved by using of the RS and networks. With combined RS theory with networks, photoelectric equipment fault implementation was optimized and simplified during the training of sample set.

• Periodical: Advanced Materials Research (Volumes 798-799)
• Pages: 415-418
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.798-799.415
• Online since: September 2013
• Authors: Pei Bin Chen, Yan Ma, Hui Yang, Xin Jian Li, De Bin Yan, Zhi Bin Hou, You Ming He, Wu Rong Zhang, Cao Fang Lv
• Keywords: Fault Diagnosis, Network, Rough Set (RS)

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