Neural Computation and Event Correlation for Intelligent Equip- ment Maintenance, Diagnosis and Prognosis
نویسندگان
چکیده
This technical report presents a framework of using artificial neural networks and event correlation 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 and event correlation. The report also describes some practical considerations of using the framework in solving real-life industrial problems, including results of applying the techniques and algorithms developed.
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تاریخ انتشار 2004