Robust monitoring and fault reconstruction based on variational inference component analysis
Authors:
- Zhiqiang GeZGZhiqiang Ge
- Zhihuan SongZSZhihuan Song
- 1 April 2011
- journal article
- Published by Elsevier in Journal of Process Control
- Vol. 21 (4) , 462-474
Abstract
No abstract availableThis publication has 23 references indexed in Scilit:
- Improved nonlinear fault detection technique and statistical analysisAIChE Journal, 2008
- Diagnosis of process faults in chemical systems using a local partial least squares approachAIChE Journal, 2008
- Subspace identification for two-dimensional dynamic batch process statistical monitoringChemical Engineering Science, 2008
- Process Monitoring Based on Independent Component Analysis−Principal Component Analysis (ICA−PCA) and Similarity FactorsIndustrial & Engineering Chemistry Research, 2007
- A multi-scale orthogonal nonlinear strategy for multi-variate statistical process monitoringJournal of Process Control, 2006
- Fault Diagnosis by Qualitative Trend Analysis of the Principal ComponentsChemical Engineering Research and Design, 2005
- Multidimensional Visualization of Principal Component Scores for Process Historical Data AnalysisIndustrial & Engineering Chemistry Research, 2004
- Statistical process monitoring: basics and beyondJournal of Chemometrics, 2003
- Recursive partial least squares algorithms for monitoring complex industrial processesControl Engineering Practice, 2003
- Multiscale PCA with application to multivariate statistical process monitoringAIChE Journal, 1998