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首页> 外文会议>Proceedings of the International Conference on Mechanical Transmissions (ICMT'2006) >DEVELOPMENT AND APPLICATION OF THE INTELLIGENT FAULT DIAGNOSIS SYSTEM BASED KBE GRAPH
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DEVELOPMENT AND APPLICATION OF THE INTELLIGENT FAULT DIAGNOSIS SYSTEM BASED KBE GRAPH

机译：基于KBE图的智能故障诊断系统的开发与应用

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摘要

The core of knowledge based fault diagnosis includes knowledge acquisition, representation, inference and management. This paper aimed at solving the insufficiency problem in the current intelligent fault diagnosis system, and developed a new diagnosis system based on network and KBE (Knowledge Based Engineering) graph. The bottlenecks of the general knowledge and expert knowledge learning, acquisition, representation and utilization were analyzed and studied based on the expert knowledge base of KBE graph and multi-inference rules. It is simple and easy to establish, modify, expand and maintain this intelligent system and does not need further coding. In addition, it can significantly save time and reduce the chance of failure. As an example, an on-line detection system for simulation rotor test bench has been established and typical faults were successfully diagnosed through it, which proved the validity and reliability of this system. Through this system, we realized transition from “scheduled maintenance” to “condition-based maintenance” and from “on-site diagnosis” to “remote diagnosis”.
机译：基于知识的故障诊断的核心包括知识获取，表示，推理和管理。本文旨在解决当前智能故障诊断系统中的功能不足问题，并开发了一种基于网络和KBE（基于知识的工程）图的新型诊断系统。基于KBE图的专家知识库和多推论规则，分析和研究了常识和专家知识的学习，获取，表示和利用的瓶颈。建立，修改，扩展和维护此智能系统非常简单，无需进一步编码。此外，它可以大大节省时间并减少故障的机会。以建立的仿真转子试验台在线检测系统为例，成功诊断出典型故障，证明了该系统的有效性和可靠性。通过该系统，我们实现了从“计划维护”到“基于条件的维护”以及从“现场诊断”到“远程诊断”的过渡。

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