Abnormality Cause Estimation Device, Abnormality Cause Estimation Method, and Abnormality Cause Estimation Program

An abnormality cause estimation device comprising:

• a measurement value input unit which inputs a measurement value obtained from a sensor provided in equipment;
• an abnormality determination unit which determines presence or absence of abnormality in the measurement value;
• an abnormality cause estimation unit which estimates a cause of abnormality of the equipment by inputting the presence or absence of abnormality in the measurement value to an abnormality event model selected from a plurality of abnormality event models having undergone division in advance based on abnormality events assumed to occur in the equipment, and each containing a connection portion in which an influence parameter in common with other equipment which can be connected to the equipment has been set in advance and having a measurement value used in common;
• and
• a result output unit which outputs a result of estimating the cause of the abnormality.

An abnormality cause estimation method comprising the steps of:

• inputting, by a measurement value input unit, a measurement value obtained from a sensor provided in equipment;
• determining, by an abnormality determination unit, presence or absence of abnormality in the measurement value;
• and
• estimating, by an abnormality cause estimation unit, a cause of abnormality of the equipment by inputting the presence or absence of abnormality in the measurement value to an abnormality event model selected from a plurality of abnormality event models having undergone division in advance based on abnormality events assumed to occur in the equipment, and each containing a connection portion in which an influence parameter in common with other equipment which can be connected to the equipment has been set in advance and having a measurement value used in common.

An abnormality cause estimation program for causing a computer to execute the procedures of:

• inputting a measurement value obtained from a sensor provided in equipment;
• determining presence or absence of abnormality in the measurement value;
• and
• estimating a cause of abnormality of the equipment by inputting the presence or absence of abnormality in the measurement value to an abnormality event model selected from a plurality of abnormality event models having undergone division in advance based on abnormality events assumed to occur in the equipment, and each containing a connection portion in which an influence parameter in common with other equipment which can be connected to the equipment has been set in advance and having a measurement value used in common.