Feature extraction method based on chaotic fractal theory and its application in fault diagnosis of gas valves
Gao Jinji · Zhendong yu chongji · 2012
Faults of gas valve often happen for reciprocating compressors.If the fault is not found and solved in time,the compressed gas leaks from gas valves and the efficiency of a reciprocating compressor is greatly reduced.If the valve plate breaks and falls into the cylinder,the serious accident of piston scraping occurs.Aiming at that the level of valve fault could not be evaluated with the current fault diagnosis technique for gas values in reciprocating compressors,an automatic identification method to extract early shock signals of gas valves based on chaotic fractal theory was presented. Early warning of gas valve fault was implemented with chaotic entropy analysis method.