Fault diagnosis of stamping process based on empirical mode decomposition and learning vector quantization
Author:
Publisher
Elsevier BV
Subject
Industrial and Manufacturing Engineering,Mechanical Engineering
Reference23 articles.
1. Diagnostic feature extraction from stamping tonnage signals based on design of experiments;Jin;Transactions of ASME, Journal of Manufacturing Science and Engineering,2000
2. Artificial intelligence applied to automatic supervision, diagnosis and control in sheet metal stamping processes;Garcia;Journal of Materials Processing Technology,2005
3. Hidden Markov model based fault diagnosis for stamping processes;Ge;Mechanical Systems and Signal Processing,2004
4. Bispectral analysis for on-line monitoring of stamping operation;Zhang;Engineering Applications of Artificial Intelligence,2002
5. Automatic feature extraction of waveform signals for in-process diagnostic performance improvement;Jin;Journal of Intelligent Manufacturing,2001
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