Distributed Intelligent Fault Diagnosis for Hydraulic Motors
نویسندگان
چکیده
Information technology and artificial intelligence technology hold great potential for enabling the distributed and intelligent fault diagnosis. Hydraulic motor is a common actuator having a high impact on the system performance. There has been significant work on fault detection and diagnosis for hydraulic motors. This paper presents a multi-agent framework for hydraulic motor fault diagnosis based on three-tier architecture that can support a distributed application. Six types of agents implemented by computers are investigated. In particular, the communications between agents are described. It can provide a handy trouble-shooting tool that cuts down the time involved in diagnosing failures in hydraulic components in general, and in motors, in particular.
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تاریخ انتشار 2005