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    METHOD FOR TROUBLE MANAGING OF EQUIPMENT
    7.
    发明申请
    METHOD FOR TROUBLE MANAGING OF EQUIPMENT 有权
    设备故障管理方法

    公开(公告)号：US20110046995A1

    公开(公告)日：2011-02-24

    申请号：US12921494

    申请日：2009-09-09

    申请人： Nobuhiko Nishimura ,  Fumitoshi Sakata ,  Mayumi Saito ,  Kouji Satake ,  Shintaro Kumano

    发明人： Nobuhiko Nishimura ,  Fumitoshi Sakata ,  Mayumi Saito ,  Kouji Satake ,  Shintaro Kumano

    IPC分类号： G06F7/00 ,  G06F15/00 ,  G06Q10/00

    CPC分类号： G05B23/0278 ,  G01H17/00 ,  G06Q10/04 ,  G06Q10/06 ,  G06Q10/0631 ,  G06Q10/20 ,  G06Q50/04 ,  Y02P90/30

    摘要： A method for trouble managing in equipment is provided, with which optimal timing of repairing the equipment and occurrence of malfunction probable to occur concurrently with present malfunction or later stage can be inferred with sufficient accuracy, and which can be adopted for large-scale equipment used in a plant. The method for trouble managing of equipment by monitoring operation condition of the equipment with a monitoring means and inferring cause of malfunction of the equipment by an inference means which infers the cause of the malfunction using measured data concerning the operation condition obtained by the monitoring means when malfunctions occur as nodes of the inference means, comprises selecting acoustic data most similar to sound emitted from the equipment in which malfunction has occurred from among a plurality of acoustic data provide beforehand, selecting morphologic data most similar to a pattern of operating condition in the equipment from among a plurality of morphologic data provide beforehand, adding the selected acoustic data and the selected morphologic data to the nodes, and performing inference of cause of the malfunction of the equipment by a first Bayesian network base on the nodes.

    摘要翻译： 提供了一种设备故障管理方法，可以以足够的精度推断设备修理的最佳时机和可能与当前故障或后期同时发生的故障发生，并可用于大型设备使用 在一个植物。 通过利用监视装置监视设备的操作状态来监视设备的故障管理方法，并且通过使用由监视装置获得的关于操作条件的测量数据推断故障原因的推理装置推断设备故障的原因， 故障发生作为推理装置的节点，包括从预先提供的多个声学数据中选择与发生故障的设备发出的声音最相似的声学数据，选择与设备中的操作状态模式最相似的形态学数据 从预先提供的多个形态数据中，将所选择的声学数据和所选择的形态数据添加到节点，并且基于节点执行由第一贝叶斯网络引起的设备故障的原因。