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1. (WO2017150263) ABNORMALITY DETECTION DEVICE, ABNORMALITY DETECTION SYSTEM, AND METHOD THEREOF

Pub. No.:    WO/2017/150263    International Application No.:    PCT/JP2017/006258
Publication Date: Sat Sep 09 01:59:59 CEST 2017 International Filing Date: Wed Feb 22 00:59:59 CET 2017
IPC: G05B 23/02
Applicants: HITACHI, LTD.
株式会社日立製作所
Inventors: ADACHI Shingo
足立 進吾
TAKAHASHI Shinsuke
高橋 信補
OGUMA Motoaki
小熊 基朗
TAKEMOTO Takeshi
武本 剛
Title: ABNORMALITY DETECTION DEVICE, ABNORMALITY DETECTION SYSTEM, AND METHOD THEREOF
Abstract:
In the present invention, even a process abnormality that gives a moderate change to measured values is detected. An abnormality detection device has a prediction and assessment unit, an effect data selection unit, an assessment integration unit, and an output part. In the prediction and assessment unit: the prediction value of a first measurement value of a sensor in a monitored process at the point in time an assessment is made is predicted, using each of a plurality of prediction and assessment methods, on the basis of measurement values from the sensor over a data range corresponding to the plurality of prediction and assessment methods; the process to be monitored is assessed to be abnormal on the basis of (1) the difference between the prediction value and the first measurement value at the point in time the assessment is made, and/or (2) the first measurement value outside the range between the upper and lower limits of the prediction values; and the abnormality assessment results for when an abnormality was assessed to have occurred as obtained with the plurality of predictive assessment methods are outputted. In the effect data selection unit, a range that includes, as effect data, a second measurement value affected by the abnormality included in the abnormality assessment results is selected as the effect data range. In the assessment integration unit, the reliability of those, among the abnormality assessment results, that are abnormality assessment results based on the effect data included in the effect data range is lowered, and the abnormality assessment results of the plurality of prediction and assessment methods are integrated. The output part outputs the integrated abnormality assessment results.