Neural network detection of grinding burn from acoustic emission
作者： Zhen Wang , Peter Willett , Paulo R. DeAguiar , John Webster
DOI: 10.1016/S0890-6955(00)00057-2
关键词: Skew 、 Acoustic emission 、 Grinding 、 Feature vector 、 Artificial intelligence 、 Artificial neural network 、 Feature extraction 、 Autoregressive model 、 Signal processing 、 Engineering 、 Pattern recognition
摘要: … In this paper, a neural network was trained and tested to identify burn during grinding. Our approach distinguishes itself by using the RBF architecture, and through the use of Wiener …
elsevier.com
sci-hub.se 参考文章(22)
S.S. Russell, E.V.K. Hill, J.L. Walker, G.L. Workman, Neural network/acoustic emission burst pressure prediction for impact damaged composite pressure vessels Materials evaluation. ,vol. 55, pp. 903- 907 ,(1997)
Albert H. Nuttall, Performance of Power-Law Processor with Normalization for Random Signals of Unknown Structure. Defense Technical Information Center. ,(1997) , 10.21236/ADA327076
PR de Aguiar, P Willett, J Webster, Acoustic emission applied to detect workpiece burn during grinding ASTM International. ,(1999) , 10.1520/STP15784S
S Haykin, Adaptive Filter Theory ,(1986)
Albert H. Nuttall, Detection performance of power-law processors for random signals of unknown location, structure, extent, and strength Chaotic, fractal, and nonlinear signal processing. ,vol. 375, pp. 302- 324 ,(1996) , 10.1063/1.51034
T A Carolan, S R Kidd, D P Hand, S J Wilcox, P Wilkinson, J S Barton, J D C Jones, R L Reuben, Acoustic emission monitoring of tool wear during the face milling of steels and aluminium alloys using a fibre optic sensor. Part 2: Frequency analysis Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture. ,vol. 211, pp. 299- 309 ,(1997) , 10.1243/0954405971516284
X Chen, W B Rowe, Y Li, B Mills, Grinding Vibration Detection Using a Neural Network Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture. ,vol. 210, pp. 349- 352 ,(1996) , 10.1243/PIME_PROC_1996_210_127_02
Peeter M. Akerberg, Ben H. Jansen, Robert D. Finch, Neural net‐based monitoring of steel beams Journal of the Acoustical Society of America. ,vol. 98, pp. 1505- 1509 ,(1995) , 10.1121/1.413416
R. Dwyer, Use of the kurtosis statistic in the frequency domain as an aid in detecting random signals IEEE Journal of Oceanic Engineering. ,vol. 9, pp. 85- 92 ,(1984) , 10.1109/JOE.1984.1145602
Kevin P. Balanda, H. L. Macgillivray, Kurtosis: A Critical Review The American Statistician. ,vol. 42, pp. 111- 119 ,(1988) , 10.1080/00031305.1988.10475539