Improved PCA with optimized sensor locations for process monitoring and fault diagnosis
Authors:
- Wang HaiqingWHWang Haiqing
- Song ZhihuanSZSong Zhihuan
- Li PingLPLi Ping
- 13 November 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 5, 4353-4358
Abstract
No abstract availableKeywords
This publication has 11 references indexed in Scilit:
- Locating sensors in complex chemical plants based on fault diagnostic observability criteriaAIChE Journal, 1999
- Subspace approach to multidimensional fault identification and reconstructionAIChE Journal, 1998
- Statistical process monitoring and disturbance diagnosis in multivariable continuous processesAIChE Journal, 1996
- Improved Process Understanding Using Multiway Principal Component AnalysisIndustrial & Engineering Chemistry Research, 1996
- Detection of gross erros in data reconciliation by principal component analysisAIChE Journal, 1995
- Sensor network design for maximizing reliability of linear processesAIChE Journal, 1993
- A Use's Guide to Principal Components1991
- A rule‐based approach to fault diagnosis using the signed directed graphAIChE Journal, 1987
- An algorithm for diagnosis of system failures in the chemical processComputers & Chemical Engineering, 1979
- Selection of measurements necessary to achieve multicomponent mass balances in chemical plantChemical Engineering Science, 1976