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A Web-Based Remote Intelligent Expert System for Ferrography Diagnosis

机译:基于Web的铁谱诊断远程智能专家系统。

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摘要

A ferrography expert system for wear particle analysis can be an effective means of condition monitoring and fault diagnosis. The knowledge of the ferrography diagnosis expert system cannot be represented by certain rules because it is fuzzy and random, therefore an intelligent expert system is developed. A neural network with self-deleting nodes is employed in the intelligent expert system, and this overcomes to some degree the disadvantages of a traditional expert system and makes it possible to automatically acquire knowledge by learning from samples and to realize entirely automatic processing, from wear particle recognition to wear diagnosis.
机译:用于磨损颗粒分析的铁谱专家系统可以是状态监测和故障诊断的有效手段。铁磁诊断专家系统的知识是模糊的,随机的,因此不能用某些规则来表示,因此开发了智能的专家系统。在智能专家系统中采用了具有自删除节点的神经网络,这在一定程度上克服了传统专家系统的弊端,并有可能通过从样本中学习自动获取知识,并实现从磨损到加工的完全自动化。颗粒识别以进行磨损诊断。

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