TY - JOUR
TI - Signal processing and thermal performance analysis of motor heat recovery system
AU - Li Jinwen
JN - Thermal Science
PY - 2023
VL - 27
IS - 2
SP - 1125
EP - 1131
PT - Article
AB - In order to realize the condition monitoring of the motor "anytime,  anywhere", improve the detection accuracy and shorten the detection time,  the author proposes a fault signal processing and diagnosis system for the  motor heat recovery system based on the IoT. That is, based on the IoT  technology, a mobile terminal oriented motor remote monitoring and fault  diagnosis system, the sensing layer of the system collects real-time motor  operation status data, and the transmission layer realizes data  transmission, cloud storage and response to data requests from the  application layer, finally, at the mobile end, the motor running status and  diagnosis results are displayed through charts and text, so as to realize  remote monitoring and fault diagnosis of the motor. The experimental results  show that the accuracy of fault diagnosis test of GA-SVM in mobile terminal  is more than 90%, and the running time is less than 30 ms, and the running  time is very short. It proves that the mobile terminal uses the fault  detection method based on GA-SVM model with high accuracy and short  detection time, that is, the fault signal processing and diagnosis accuracy  of the motor heat recovery system of the IoT is high and the detection time  is short.