National Cheng-Kung University

Fei-Bin Hsiao

Yung-Chun Lee

Chung-Neng Huang

Cheng-Yu Chiu

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.

System and method for estimating torque and rotational speed of motor

A nano-imprinting process is described, comprising: providing a substrate including an imprinting material layer covering a surface of the substrate; providing a mold including protruding features set on a surface of the mold covered with an anti-adhesion layer; forming a transferring material layer on a top surface of each protruding feature; embedding the transferring material layer into a first portion of the imprinting material layer; removing the mold and separating the mold and the transferring material layer simultaneously to transfer the transferring material layer into the first portion of the imprinting material layer and to expose a second portion of the imprinting material layer; using the transferring material layer as a mask to remove the second portion of the imprinting material layer and a portion of the substrate; and removing the first portion of the imprinting material layer and the transferring material layer.

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Tainan, Taiwan

Fei-Bin Hsiao