To overcome the problem that a single feature can not reflect the state of machinery in different stages,a method of vibration feature fusion based on self-organizing map(SOM) is presented.Minimum quantization error(M...To overcome the problem that a single feature can not reflect the state of machinery in different stages,a method of vibration feature fusion based on self-organizing map(SOM) is presented.Minimum quantization error(MQE) is obtained unsupervised based on SOM network.And trend information of the MQE curve is extracted by the wavelet packet to enhance state differentiating.Experimental flat is designed for bearing accelerating fatigue.And experimental results show that the method of vibration feature fusion based on SOM can reflect the state of machinery in different stages effectively.展开更多
基金Supported by the National Natural Science Foundation of China under Grant No.60673169 (国家自然科学基金)the National Basic Research Program of China under Grant No.2003CB314802 (国家重点基础研究发展计划(973))the National High-Tech Research and Development Plan of China under Grant No.2006AA01Z213 (国家高技术研究发展计划(863))
基金国家重点基础研究发展规划(973)( the National Grand Fundamental Research 973 Program of China under Grant No.2003CB314802)国家高技术研究发展计划( 863)(the National High-Tech Research and Development Plan of China under Grant No.2006AA01Z23)国家自然科学基金( the National Natural Science Foundation of China under Grant No.60673169)
文摘To overcome the problem that a single feature can not reflect the state of machinery in different stages,a method of vibration feature fusion based on self-organizing map(SOM) is presented.Minimum quantization error(MQE) is obtained unsupervised based on SOM network.And trend information of the MQE curve is extracted by the wavelet packet to enhance state differentiating.Experimental flat is designed for bearing accelerating fatigue.And experimental results show that the method of vibration feature fusion based on SOM can reflect the state of machinery in different stages effectively.
