Abnormality diagnosis device and abnormality diagnosis method
AssigneesMitsubishi Electric Corporation, Mitsubishi Electric Research Laboratories, Inc.
InventorsHiroshi Inoue, Bingnan Wang, Lei Zhou
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Abstract
An abnormality diagnosis device includes: a first interface to obtain a value of a driving current for driving a motor; and a processor to access a database including calculation data to be used to calculate a degree of abnormality of the motor, wherein the processor extracts a feature quantity for calculating the degree of abnormality from a current waveform specified by a value of the driving current, and calculates the degree of abnormality of the motor based on the extracted feature quantity and the calculation data.
Claims13
An abnormality diagnosis device for diagnosing an abnormality of a motor, the abnormality diagnosis device comprising:
- a first interface to obtain a value of a driving current for driving the motor;
- and
- a processor to access a database including calculation data to be used to calculate a degree of abnormality of the motor, wherein
- the processor extracts a feature quantity for calculating the degree of abnormality from a current waveform specified by a value of the driving current, and calculates the degree of abnormality of the motor based on the extracted feature quantity and the calculation data,
- the degree of abnormality includes an eccentricity level of the motor, and
- the calculation data is data indicating a relation between the eccentricity level and the feature quantity.
An abnormality diagnosis method for diagnosing an abnormality of a motor by a computer, the abnormality diagnosis method comprising:
- obtaining a value of a driving current for driving the motor;
- accessing a database including calculation data to be used to calculate a degree of abnormality of the motor;
- and
- extracting a feature quantity for calculating the degree of abnormality from a current waveform specified by a value of the driving current, and calculating the degree of abnormality of the motor based on the extracted feature quantity and the calculation data, wherein
- the degree of abnormality includes an eccentricity level of the motor, and
- the calculation data is data indicating a relation between the eccentricity level and the feature quantity.
Dependencies are inferred from the claim text.