Multichannel one-dimensional convolutional neural network-based feature learning for fault diagnosis of industrial processes
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-020-05171-4.pdf
Reference56 articles.
1. Faradisa IS, Anggriawan DO, Sardjono TA, Purnomo MH (2016) Identification of phonocardiogram signal based on STFT and Marquart Lavenberg Backpropagation. In: IEEE international seminar on intelligent technology and its applications (ISITIA). Mataram: IEEE. pp 25–30
2. Daubechies I (1990) The wavelet transform, time-frequency localization and signal analysis. IEEE Trans Inf Theory 36(5):961–1005
3. Yoon S, MacGregor JF (2004) Principal-component analysis of multiscale data for process monitoring and fault diagnosis. AIChE J 50(11):2891–2903
4. Vedam H, Venkatasubramanian V (1997) A wavelet theory-based adaptive trend analysis system for process monitoring and diagnosis. In: Proceedings of the 1997 American control conference (Cat. No. 97CH36041). IEEE. vol 1, pp 309–313
5. Lada EK, Lu JC, Wilson JR (2002) A wavelet-based procedure for process fault detection. IEEE Trans Semicond Manuf 15(1):79–90
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