FAULT DIAGNOSIS: Bearing fault diagnosis using multi-layer neural networks

By Wang Ling   Hope A D  

Insight - Non-Destructive Testing and Condition Monitoring, Vol. 46, Iss. 8, 2004-08 ,pp. : 451-455

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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Detection of the propagation of defects in pressurised pipes by means of the acoustic emission technique using artificial neural networks

By da Silva R R   Soares S D   Calôba L P   Siqueira M H S   Rebello J M A  

Insight - Non-Destructive Testing and Condition Monitoring, Vol. 48, Iss. 1, 2006-01 ,pp. : 45-51

The British Institute of Non-Destructive Testing

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Application of artificial neural networks in non-destructive testing of layered structures using the surface wave method

By Akhlaghi T  

Insight - Non-Destructive Testing and Condition Monitoring, Vol. 49, Iss. 8, 2007-08 ,pp. : 465-470

The British Institute of Non-Destructive Testing

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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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