A model-based fault detection and diagnostic methodology based on PCA method and wavelet transform

作者: Shun Li , Jin Wen

DOI: 10.1016/J.ENBUILD.2013.08.044

关键词: Building automationEngineeringWavelet transformFault detection and isolationPrincipal component analysisWeather conditionData miningHVACMechanical engineeringElectrical and Electronic EngineeringCivil and Structural EngineeringBuilding and Construction

摘要: … methodology for fault detection in air handling units, which integrates PCA and wavelet … is used as data pretreatment to help PCA method improve its accuracy with detecting faults. …

参考文章(16)
Vaughn Bradshaw, Building Control Systems ,(1985)
Paul Nomikos, John F. MacGregor, Multivariate SPC Charts for Monitoring Batch Processes Technometrics. ,vol. 37, pp. 41- 59 ,(1995) , 10.1080/00401706.1995.10485888
Patricia Ralston, Gail DePuy, James H. Graham, Computer-based monitoring and fault diagnosis: a chemical process case study Isa Transactions. ,vol. 40, pp. 85- 98 ,(2001) , 10.1016/S0019-0578(00)00033-1
Ningyun Lu, Fuli Wang, Furong Gao, Combination method of principal component and wavelet analysis for multivariate process monitoring and fault diagnosis Industrial & Engineering Chemistry Research. ,vol. 42, pp. 4198- 4207 ,(2003) , 10.1021/IE0207313
Johan Trygg, Svante Wold, PLS regression on wavelet compressed NIR spectra Chemometrics and Intelligent Laboratory Systems. ,vol. 42, pp. 209- 220 ,(1998) , 10.1016/S0169-7439(98)00013-6
Zhimin Du, Xinqiao Jin, Detection and diagnosis for multiple faults in VAV systems Energy and Buildings. ,vol. 39, pp. 923- 934 ,(2007) , 10.1016/J.ENBUILD.2006.09.015
Seongkyu Yoon, John F. MacGregor, Fault diagnosis with multivariate statistical models part I: using steady state fault signatures Journal of Process Control. ,vol. 11, pp. 387- 400 ,(2001) , 10.1016/S0959-1524(00)00008-1