Detecting the onset, propagation and location of non-artificial defects in a slow rotating thrust bearing with acoustic emission

By Elforjani M   Mba D  

Insight - Non-Destructive Testing and Condition Monitoring, Vol. 50, Iss. 5, 2008-05 ,pp. : 264-268

The British Institute of Non-Destructive Testing

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Condition monitoring of delamination during drilling of GFRP composites using the acoustic emission technique a neural network model

By Sudha J   Sampathkumar S   Kumar R Kishore  

Insight - Non-Destructive Testing and Condition Monitoring, Vol. 53, Iss. 8, 2011-08 ,pp. : 445-449

The British Institute of Non-Destructive Testing

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Condition monitoring of SSE gas turbines using artificial neural networks

By Muthuraman S   Twiddle J   Singh M   Connolly N  

Insight - Non-Destructive Testing and Condition Monitoring, Vol. 54, Iss. 8, 2012-08 ,pp. : 436-439

The British Institute of Non-Destructive Testing

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Electric motor faults diagnosis using artificial neural networks

By Li Lingxin   Mechefske C K   Li Weidong  

Insight - Non-Destructive Testing and Condition Monitoring, Vol. 46, Iss. 10, 2004-10 ,pp. : 616-621

The British Institute of Non-Destructive Testing

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Detection of super-high-frequency partial discharge by using neural networks

By Shan Q   Bhatti S   Glover I A   Atkinson R   Rutherford R  

Insight - Non-Destructive Testing and Condition Monitoring, Vol. 51, Iss. 8, 2009-08 ,pp. : 442-447

The British Institute of Non-Destructive Testing

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