DocumentCode :
2126664
Title :
A discrete-time sliding mode observer for estimation of auto-regressive model coefficients with an application in condition monitoring
Author :
Twiddle, John A. ; Spurgeon, Sarah K. ; Kitsos, Christos ; Jones, N. Barrie
Author_Institution :
Dept. of Eng., Leicester Univ.
fYear :
2006
fDate :
5-7 June 2006
Firstpage :
127
Lastpage :
132
Abstract :
Development of a sliding mode observer (SMO) scheme for on-line condition monitoring of dry vacuum pumps is considered. The exhaust pressure signal from such a pump can be practically acquired with a standard transducer, and described with an auto-regressive (AR) model. A novel discrete-time SMO scheme has been designed to estimate AR model coefficients based on a short data set sampled from the exhaust pressure signal, and a nominal set of model coefficients estimated from fault-free data. Vacuum pumps´ exhausts are at risk of blockage due to solid deposits of process chemicals. The results demonstrate that the reduction in free volume of the silencer can be detected by monitoring the injection signal of the SMO. The magnitude of the injection signal is related to the difference in location between the poles of the nominal AR model and those of the estimated model
Keywords :
autoregressive processes; chemical industry; condition monitoring; discrete time systems; observers; variable structure systems; autoregressive model coefficients; discrete-time sliding mode observer; dry vacuum pumps; online condition monitoring; Condition monitoring; Fault detection; Instruments; Observers; Parameter estimation; Power system modeling; Signal design; Sliding mode control; Solids; Transducers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Variable Structure Systems, 2006. VSS'06. International Workshop on
Conference_Location :
Alghero, Sardinia
Print_ISBN :
1-4244-0208-5
Type :
conf
DOI :
10.1109/VSS.2006.1644505
Filename :
1644505
Link To Document :
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