Using neural nets in rule discovery for intelligent equipment maintenance, diagnosis and prognosis

This paper presents a framework of using artificial neural networks technologies in knowledge discovery to support intelligent equipment maintenance, diagnosis and prognosis in automated manufacturing environment. It covers in details one of the key components of the framework, namely, the knowledge discovery engine, and its related technologies such as artificial neural networks. The paper also describes some practical considerations of using the framework in solving real-life industrial problems, including results of applying the techniques and algorithms developed.