Fault diagnosis of stamping process based on empirical mode decomposition and learning vector quantization

Author:

Bassiuny A.M.,Li Xiaoli,Du R.

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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