US 12,130,200 B2
Failure diagnosis apparatus, training apparatus, training method, and failure diagnosis system
Yasuhiko Wada, Tokyo (JP); and Kazunori Sakanobe, Tokyo (JP)
Assigned to Mitsubishi Electric Corporation, Tokyo (JP)
Appl. No. 18/042,506
Filed by Mitsubishi Electric Corporation, Tokyo (JP)
PCT Filed Oct. 13, 2020, PCT No. PCT/JP2020/038607
§ 371(c)(1), (2) Date Feb. 22, 2023,
PCT Pub. No. WO2022/079796, PCT Pub. Date Apr. 21, 2022.
Prior Publication US 2023/0324258 A1, Oct. 12, 2023
Int. Cl. G01M 13/04 (2019.01); G01N 3/56 (2006.01); H02P 21/14 (2016.01); H02P 27/06 (2006.01); H02P 29/024 (2016.01)
CPC G01M 13/04 (2013.01) [G01N 3/56 (2013.01); H02P 21/14 (2013.01); H02P 27/06 (2013.01); H02P 29/024 (2013.01)] 12 Claims
OG exemplary drawing
 
1. A failure diagnosis apparatus to diagnose a failure of a motor to drive equipment, the failure diagnosis apparatus comprising:
a controller to control drive of the motor;
a wear estimator to estimate wear information of a bearing of the equipment; and
a failure notification unit to diagnose a failure of the motor based on the wear information of the bearing of the equipment estimated by the wear estimator and to notify a user, wherein
when the wear estimator estimates the wear information of the bearing of the equipment, the controller controls drive of the motor such that the motor is driven in a steady state,
the wear estimator estimates the wear information of the bearing of the equipment from a first status variable representing a current that flows in the motor and at least one second status variable among variables each representing a status of the equipment based on an estimation model generated in training processing using a training data set, and
the training data set includes a plurality of pieces of training data obtained by labeling the first status variable and the second status variable with the wear information of the bearing of the equipment obtained in advance.