Wu Meng, Gong Bi, He Zhenya. A NEURAL NETWORK BASED FAULT FUZZY DIAGNOSTIC SYSTEM[J]. Journal of Electronics & Information Technology, 1994, 16(2): 121-126.
Citation:
Wu Meng, Gong Bi, He Zhenya. A NEURAL NETWORK BASED FAULT FUZZY DIAGNOSTIC SYSTEM[J]. Journal of Electronics & Information Technology, 1994, 16(2): 121-126.
Wu Meng, Gong Bi, He Zhenya. A NEURAL NETWORK BASED FAULT FUZZY DIAGNOSTIC SYSTEM[J]. Journal of Electronics & Information Technology, 1994, 16(2): 121-126.
Citation:
Wu Meng, Gong Bi, He Zhenya. A NEURAL NETWORK BASED FAULT FUZZY DIAGNOSTIC SYSTEM[J]. Journal of Electronics & Information Technology, 1994, 16(2): 121-126.
A fault fuzzy diagnostic system (FFDS) based on neural network and fuzzy logic hybrid is proposed. FFDS consists of two modes: a fuzzy inference mode and a rules learning mode. The fuzzy inference rules are stored in the memory layer. The excitation levels of the memory neurons reflect the matching degree between the input vector and the prototype rules. In the rules learning mode, the rules can be produced automatically through the cluster process. As a application case of this diagnostic system, the fault diagnosis experiment of the rotating axis is simulated.
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