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Detections of abnormality of machinery and plant systems

机译:检测机械和植物系统异常

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摘要

As machinery and plants install with a large scale and high efficiency in modern advanced information technology society, malfunctions and accidents of them give tremendous impacts for such as security, environment and economy system, etc. And so detection technologies of abnormality of them are regarded as important as an effective method of prevention of malfunctions. The characteristics, reliability and problems of technologies of the detections and predictions of abnormality for machinery and plants were investigated to utilize abnormality models and given considerations of criterion of judgment for detections of abnormality, wide area and simultaneous detection systems of abnormality, etc, in this paper.
机译:作为机械和植物以大规模和高效率的现代信息技术展示,他们的故障和事故可能对安全,环境和经济体系等产生巨大影响,因此他们的异常检测技术被视为 重要的是预防故障的有效方法。 研究了检测技术的特征,可靠性和机械和植物异常预测的特征,可靠性和预测,利用异常模型,并考虑了判断的异常,广域和同时检测系统等异常,等等的判断标准 纸。

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