High-Dimensional Process Monitoring and Fault Isolation via Variable Selection

• Autores: Kaibo Wang, Wei Jiang
• Localización: Journal of quality technology: A quarterly journal of methods applications and related topics, ISSN 0022-4065, Vol. 41, Nº. 3, 2009, págs. 247-258
• Idioma: inglés
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• Resumen

  • A variable-selection-based multivariate statistical process control procedure is proposed for process monitoring and fault diagnosis in high-dimensional processes. Use of a forward-selection algorithm and a multivariate control chart enable in one step the detection of faulty conditions and the isolation of faulty variables. The effectiveness of the proposed procedure is demonstrated through simulation studies and a real example.