| 摘要 |
<P>PROBLEM TO BE SOLVED: To solve the problem that, in abnormality sign detection in a facility of a plant or the like, it is difficult to make easiness in comprehending the basis of abnormality determination by abnormality detection providing a monitor criterion for each sensor compatible with high-sensitivity abnormality detection based on a statistical normality model. <P>SOLUTION: In a method of monitoring a facility state on the basis of time-series sensor signals outputted from sensors mounted in a facility or a device and indicating states of the facility or the device and an event signal of the facility or the device, the sensor signals and the event signal are stored, abnormality is detected by statistically analyzing the stored sensor signals and event signal, learning data are selected on the basis of a result of detecting abnormality, a rule for identifying abnormality is extracted on the basis of the selected learning data, and the rule for identifying abnormality is applied to the sensor signals to perform rule-based abnormality identification, thereby detecting or predicting abnormality in the facility or the device. <P>COPYRIGHT: (C)2012,JPO&INPIT |
