RIA-based remote monitoring and fault diagnosis system for compressor

TAN Wen-cai， ZHANG Qiu-ju
（School of Mechanical Engineering， Jiangnan University， Wuxi 214122， China）

Abstract： Aiming at the problem of lack of diagnosis and maintenance while remote compressor was abnormal，remote monitoring and the fault diagnosis system for compressor based on rich Internet application （RIA） was developed，CBX solutions based on delphi was used to build RIA software platform，remote access through internet was realized，relevant research on network structure and CBX framework was carried out，the main points of CBX application development were introduced，the key technologies of system were analyzed，including fault diagnosis expert system based on neural network，mixed programming based on Matlab COM，database access based on SDAC，analysis map implementation，etc.. The results indicate that，through remote monitoring and fault diagnosis system for compressor，the status of compressor can be accessed timely and the failure mode can be identified to avoid further damage，The system has rich function and friendly interface and has a good application value and significance.
Key words： rich Internet application （RIA）；compressor remote monitoring；fault diagnosic expert system；CBX