Fault detection for simulated valve faults in a high pressure leaching process
作者： Jason Miskin , Brian Lindner , Lidia Auret , Christie Dorfling , Steven Bradshaw
DOI: 10.1016/J.IFACOL.2016.07.372
关键词: Soil science 、 Leaching (metallurgy) 、 Fault detection and isolation 、 Principal component analysis 、 Refinery 、 Dynamic modelling 、 Structural engineering 、 Empirical modelling 、 Engineering
摘要: Abstract A simulation of a high pressure leaching process in base metals refinery (BMR) is used to simulate fault conditions for two types valve faults. The faults were modelled using empirical models fitted actual data from Western Platinum Ltd. BMR. effects the on performance determined. Following this, principal component analysis (PCA) was determine whether these could be detected. It found that both had significant effect control performance, and PCA able detect accurately.
sci-hub.se 参考文章(5)
Ranganathan Srinivasan, Raghunathan Rengaswamy, Randy Miller, Control loop performance assessment. 1. A qualitative approach for stiction diagnosis Industrial & Engineering Chemistry Research. ,vol. 44, pp. 6708- 6718 ,(2005) , 10.1021/IE0490280
M.A.A. Shoukat Choudhury, N.F. Thornhill, S.L. Shah, Modelling valve stiction Control Engineering Practice. ,vol. 13, pp. 641- 658 ,(2005) , 10.1016/J.CONENGPRAC.2004.05.005
D. Dong, T.J. McAvoy, Nonlinear principal component analysis—Based on principal curves and neural networks Computers & Chemical Engineering. ,vol. 20, pp. 65- 78 ,(1996) , 10.1016/0098-1354(95)00003-K
Christie Dorfling, Characterisation and dynamic modelling of the behaviour of platinum group metals in high pressure sulphuric acid/oxygen leaching systems Stellenbosch University. ,(2012)
Samuel N. Anyakora, Malfunction of process instruments and its detection using a process control computer Loughborough University of Technology. ,(1971)