Research on Fault Diagnosis Technology of Rotational Shell Magazine based on MSCA and SVM

Abstract The power unit of self-propelled artillery rotational shell magazine is a vulnerable part in the whole system. Aiming at problem fault diagnosis under multiple loads, method motor current characteristic analysis and support vector machine used to diagnose reducer. Through establishment virtual prototype certain revolving magazine, state characteristics reducer are analyzed from perspectives time domain, frequency distribution entropy with phase as information source. train classify feature set, rotary completed.