Feature-level fusion based on wavelet transform and artificial neural network for fault diagnosis of planetary gearbox using acoustic and vibration signals

By Khazaee M   Ahmadi H   Omid M   Banakar A   Moosavian A  

Insight - Non-Destructive Testing and Condition Monitoring, Vol. 55, Iss. 6, 2013-06 ,pp. : 323-330

The British Institute of Non-Destructive Testing

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Fatigue damage assessment for ferromagnetic items based on the metal magnetic memory technique

By Shangkun Ren   Yangchun Ou   Yi Li  

Insight - Non-Destructive Testing and Condition Monitoring, Vol. 53, Iss. 9, 2011-09 ,pp. : 494-496

The British Institute of Non-Destructive Testing

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Metal magnetic memory-based fluxgate sensor for imaging detection of coiled tubing

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Insight - Non-Destructive Testing and Condition Monitoring, Vol. 56, Iss. 12, 2014-12 ,pp. : 691-696

The British Institute of Non-Destructive Testing

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Diagnosis of manufacturing defects in a gear pair using wavelet analysis of vibration and acoustic signals and an ANN-based inference technique

By Havale V   Narayanan S  

Insight - Non-Destructive Testing and Condition Monitoring, Vol. 56, Iss. 8, 2014-08 ,pp. : 426-433

The British Institute of Non-Destructive Testing

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Improving the classification accuracy of the weld defect by chaos-search-based feature selection

By Shen Qingming   Gao Jianmin  

Insight - Non-Destructive Testing and Condition Monitoring, Vol. 52, Iss. 10, 2010-10 ,pp. : 530-539

The British Institute of Non-Destructive Testing

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