Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A disturbance source tracing method adapted for tracing a disturbance source of a system including a plurality of candidate nodes by a computing apparatus is provided. In this method, the computing apparatus obtains a plurality of topology information by analyzing the system using a plurality of process analyzing methods respectively. The topology information records causalities between the candidate nodes of the system. The computing apparatus applies each causality of the topology information to a probability distribution algorithm, and calculates a stationary probability distribution of each of the candidate nodes. The computing apparatus also synthesizes the stationary probability distributions calculated with respect to each process analyzing method to calculate a probability distribution of each of the candidate nodes being the disturbance source.

Abstract: 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.

Abstract: 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.

Abstract: Disclosed herein are hybrid solar cells and methods for fabricating the same. In one aspect, the method is characterized in transferring nanowires from one substrate to another substrate. In another aspect, the method is characterized in having an organic active layer that is not made of [6,6]-phenyl-C61-butyric acid methyl ester (PCBM) and said organic active layer comprises nanowires embedded therein.

Abstract: 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.