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总结了轴承故障诊断的模糊规则 ,并把这些规则映射到模糊神经网络 ,提高了诊断的智能性。提出了部分层学习算法 ,并推导出隶属度函数的参数学习算法 ,改善了诊断规则和学习性能。所研制的诊断系统在对轴承故障的诊断中取得了满意的结果。
Summarizes the fuzzy rules of bearing fault diagnosis, and these rules are mapped to the fuzzy neural network to improve the diagnostic intelligence. The algorithm of partial layer learning is proposed and parameter learning algorithm of membership function is deduced to improve the diagnostic rules and learning performance. The diagnostic system developed has achieved satisfactory results in the diagnosis of bearing faults.