The Development of Fault diagnosis System of Reciprocating Compressor based on LabVIEW

The technology of equipment condition monitoring and diagnosis plays an important role in maintenance of equipment running normally. The project, using advanced technique, etc, realize functions of on-line monitoring and data analysis for it can not only acquire signals on different measuring positions in equipment continuously, but also look over current trend and make primary fault diagnosis. This paper presents a data acquisition and fault diagnosis system of reciprocating compressor using LabVIEW as the software development platform and shows fault recognition by perception neural network. It is proven by experience that the virtual signal analyzer has achieved relatively satisfactory results.