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公开(公告)号:US20170307480A1
公开(公告)日:2017-10-26
申请号:US15501999
申请日:2015-10-06
Applicant: Hitachi, Ltd.
Inventor: Takayuki UCHIDA , Shigetoshi SAKIMURA , Kazuyuki TAKADO , Takahiro FUJISHIRO , Tomoaki HIRUTA
CPC classification number: G01M99/008 , G01M15/02 , G01M99/005 , G05B23/0272 , G06F3/14 , G06F3/147 , G06T11/206 , G06T2200/24
Abstract: To improve diagnostic accuracy in diagnosing for abnormality of a machine, it is necessary to adjust a parameter regarding diagnosis such as the number of clusters. In such an adjustment operation, each time a diagnostic parameter is modified, a checking operation by an analysis operator is required to see whether a diagnosis result has been improved. The present invention assists in the checking operation to see whether diagnostic accuracy has been improved by comparing diagnosis results before and after parameter modification. If there are many items of sensor data for diagnosis, many items of abnormality degree data arise as analysis result. Many items of data pose a problem that comparing diagnosis results takes time. In the data display system, abnormality degree data that has changed largely before and after parameter modification is automatically found and displayed to the analysis operator. How much an abnormality degree has changed is determined as an abnormality degree change rate, i.e., a ratio between “abnormality degree difference due to change” and “modified parameter value difference”. Only abnormality degree data with a large change rate is displayed to the analysis operator. Additionally, a more suited parameter that was hidden, if found during a parameter modifying operation, is displayed and presented to the analysis operator.
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公开(公告)号:US20170131707A1
公开(公告)日:2017-05-11
申请号:US15321913
申请日:2015-02-12
Applicant: Hitachi, Ltd.
Inventor: Shigetoshi SAKIMURA , Takayuki UCHIDA , Shinya YUDA , Takahiro FUJISHIRO , Kazuyuki TAKADO
CPC classification number: G05B23/0208 , G06F11/07 , G06F11/3006 , G06F11/3058 , G06F11/3409
Abstract: In the conventional technique, network performances of a machine and a server become different due to the diagnosis target machine when a fault symptom diagnosis function is provided to a plurality of different diagnosis target machines. Therefore, the plurality of different machines are not able to be handled using one system. The present invention is a fault symptom diagnosis system including: a diagnosis execution unit; an arrangement unit; a diagnosis target machine; a diagnosis server; and a network, wherein the diagnosis execution unit includes processing modules of a sensor input processing, a preprocessing, a diagnosis processing, and a postprocessing, and a common interface that connects the processing modules, and wherein the arrangement unit arranges and executes the processing modules in the diagnosis target machine or the diagnosis server.
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