This study aims to develop an intelligent algorithm by integrating the independent component analysis (ICA) and support vector machine (SVM) for monitoring multivariate processes. For developing a successful SVM-based fault detector, the first step is feature extraction. In real industrial processes
Statistical process monitoring with independent component analysis
β Scribed by Jong-Min Lee; ChangKyoo Yoo; In-Beum Lee
- Publisher
- Elsevier Science
- Year
- 2004
- Tongue
- English
- Weight
- 960 KB
- Volume
- 14
- Category
- Article
- ISSN
- 0959-1524
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