The development of fault detection system based on LabVIEW

This article has designed a set of remote control and fault detection system based on neural network model, according to the requirement for failure automatic detection of multifunctional massage-chair. On the one hand, the PC remotely controls IPC using Web and analyzes data; On the other hand, the IPC wirelessly transmits collecting data and feedback code to the PC using DataSocket technology. The detection thresholds are obtained through training initial data using PLS-BP&PLS-RBF network. And the detection parameters are calculated through analyzing the new data. When the detection parameters exceed the threshold, the indicator will be triggered to alarm. The system detects the state of massage-chair and determines the position of fault occurring which has achieved the purpose of intelligent auto-detection.