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1 问题的提出故障诊断的主要目的是实现故障预防或故障发生时的定位、机理分析与故障保护和隔离等,实现故障定位是故障诊断的关键内容之一.由于神经网络的学习特性和对非线性对象的描述特性,因而被广泛应用在故障诊断这样的智能领域.然而从以往文献看[1,2],主要是将对象作为黑
1 PROBLEM PROBLEM The main purpose of fault diagnosis is to realize the positioning, mechanism analysis and fault protection and isolation at the time of fault prevention or fault, so as to realize the fault location is one of the key problems in fault diagnosis. Because of the learning characteristics of neural networks and the non- Therefore, it has been widely used in the field of intelligence such as fault diagnosis.However, from the past literature [1, 2], the object is mainly black