New Approach of Integrated Intelligent Fault Diagnosis Based on Rough Set Theory
HU Wei-li · Kongzhi yu juece · 2006
The shortcoming of the traditional intelligent fault diagnosis based on rough set theory is analyzed.The reduction algorithm meeting users' requirements is adopted,and a new approach of integrated intelligent fault diagnosis combining the method relied on the systems' model and the strategy depending on fault information is presented.For fault detection on nonlinear systems,the steps of getting the diagnosis rules are given.The approach can expend the fault diagnosis bounds,and is easy to implement in engineering practice.Finally,an example of AC motor fault diagnosis is studied to show the validity of the approach.