Industrial Technology Research Institute

Chen-Kai Hsu

Chun-Yen Chen

Yi-Cheng Cheng

Ming-Hsiu Hsu

Chia-Lin Fu

Jyun-Sian Li

A disturbance source positioning method for positioning disturbance sources in a system including a plurality of nodes is provided. The method includes the following steps: grouping the plurality of nodes into a plurality of node groups based on an oscillation feature; establishing an in-group causality of the plurality of node groups based on a successive order of a coherent oscillation component; selecting at least one candidate group from the plurality of node groups based on the in-group causality; and positioning at least one disturbance source node in each candidate group.

Disturbance source positioning method

A parameter tuning method of an unknown proportional-integral-derivative (PID) controller is provided. The unknown PID controller is replaced with the control algorithm of the generic controller to perform the optimal parameter tuning to obtain the target parameter of the generic controller. The unknown PID controller is set with a first parameter group so that the corresponding input signal, the control signal and the output signal are measured for performing the parameter identification procedure of the generic controller to obtain a second parameter group of the generic controller. When the second parameter group is not within a specification range of the target parameter, the first parameter is re-calculated and modified by a direct search method in accordance with the difference between the second parameter group and the target parameter for setting the unknown PID controller again, and then the input signal, the control signal and the output signal are measured again.

Parameter tuning method of unknown PID controller

A diagnosis method of defects in a motor and a diagnosis device thereof are described. A vibration sensing module can generate a vibration signal corresponding to a vibration of a motor during operation of the motor. Then, a data pre-processing procedure is performed to eliminate noises of the vibration signal. After the data pre-processing procedure, an analyzing procedure is performed to determine a first harmonic of spectrum features in the spectrum of the pre-processed vibration signal. And, other spectrum feature(s) is(/are) retrieved from the spectrum of the pre-processed vibration signal according to the first harmonic. Finally, a comparison procedure is performed with a defect spectrum feature database according to the retrieved spectrum features, so as to determine a defect type of the motor.

Growing community of inventors

Miaoli County, Taiwan

Chen-Kai Hsu