National Cheng-Kung University

Chung-Neng Huang

Fei-Bin Hsiao

A system and a method for estimating a torque and a rotational speed of a motor are disclosed. The system includes a sound receiving device, a feature extraction device, and an artificial neural network module. In the method, at first, a plurality of training data are provided, wherein the training data includes a plurality of history sound feature values of the motor and history torque values or history rotation values corresponding thereto. Thereafter, an artificial neural network stored in the artificial neural network module is trained by the history data to obtain a motor model of the motor. Then, a motor sound signal made by the motor in a working state is received. Thereafter, sound feature values of the motor sound signal are extracted. Thereafter, the rotational speed value and the torque value are computed by the motor model in accordance with the at least one sound feature value.

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Tainan, Taiwan

Chung-Neng Huang