Abstract：Vibration signal based fault diagnosis has the limitation of contacting measurement, and traditional acoustic-based diagnosis (ABD) can only partly reflect acoustic information. These disadvantages can be overcome by introducing near-field acoustic holography (NAH) to fault diagnosis. Mechanical fault diagnosis system with non-contacting measurement is developed based on LabVIEW platform. Acoustic images are obtained by reconstructing sound pressure field near sound source surface with NAH technology. Gray level co-occurrence matrix features reflecting spatial distribution of sound field are extracted from acoustic images. Combining with support vector machines, intelligent fault diagnosis is implemented. The system has some key functions, such as fault diagnosis, sound source visualization, data analysis. The gearbox faults are diagnosed using the proposed system with diagnostic accuracy 97.3%, which is better than the result from traditional ABD. The reliability and practicality is demonstrated on the practical application.
鲁文波;蒋伟康. 基于近场声全息的故障诊断方法及系统实现[J]. , 2013, 32(5): 48-51.
LU Wen-bo JIANG Wei-kang. Near-field acoustic holography based fault diagnosis and its system development. , 2013, 32(5): 48-51.
2013, Vol. 32 
