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Remote Status Monitoring and Fault Diagnosis for Manufacturing System

机译:制造系统的远程状态监控和故障诊断

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This paper introduces a novel approach for mechanical manufacturing system to implement status monitoring and fault diagnosis. The embedded hardware and software framework for terminal device is discussed to ensure high performance, high reliability, high expansibility, low power and small volume. According to the demand of remote status monitoring, the strategy of data transmission and information sharing is applied to provide the analyzing and diagnosing service based on intranet/internet. The artificial intelligent technique is used for information fusion and fault diagnosis of manufacturing system. The proposed approach shows great potential for improving overall production efficiency, while reducing the cost of maintenance.
机译:本文介绍了一种新颖的机械制造系统方法,实现现状监测和故障诊断。讨论了嵌入式硬件和软件框架,以确保高性能,高可靠性,高可扩展性,低功耗和小体积。根据远程状态监控的需求,应用数据传输和信息共享策略来提供基于Intranet / Internet的分析和诊断服务。人工智能技术用于制造系统的信息融合和故障诊断。该方法表现出提高整体生产效率的巨大潜力,同时降低了维护成本。

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