For large equipment gear running environmental noise and lack of fault sample characteristics

the method of gears fault diagnosis based on singular value decomposition and support vector machine is proposed.Applications and advantages of the singular value decomposition of the signal feature extraction is analyzed.Verified by experiments based on singular value decomposition and support vector machine gear fault diagnosis method can achieve quickly

accurately gears fault diagnosis.