DocumentCode :
1717973
Title :
Fault detection based on two-stage recursive least squares parameter estimation
Author :
Shashoa, Nasar Aldian Ambark ; Emhemmed, Adel Saad ; Yakhlef, Sulaiman Khalifa
fYear :
2013
Firstpage :
382
Lastpage :
387
Abstract :
This paper proposes a two-stage recursive least squares algorithm for output error models. systems are considered multiple-input single-output, which is represented by autoregressive models. The first step of the proposed algorithm is to identify algorithm model. Second one is to implement these identification methods at thermal power plant, whose nominal power output is 320 MW. The water level measurements are estimated by two-stage recursive least squares parameter estimation. To validate the model, autocorrelation function of measurement residuals and cross-correlation function between input signals and residuals are analyzed. next, the determination of residual and the mean value of the residual divided to the standard deviation of the residual of two-stage are used for fault detection. Comparison between the conventional model recursive least squares algorithm and two-stage recursive least squares algorithm is finally presented.
Keywords :
autoregressive processes; fault diagnosis; least squares approximations; level control; level measurement; recursive estimation; thermal power stations; autocorrelation function; autoregressive models; cross-correlation function; fault detection; identification methods; input signals; mean value; measurement residuals; model recursive least squares algorithm; multiple-input single-output systems; output error models; power output; residual value; standard deviation; thermal power plant; two-stage recursive least squares parameter estimation; water level measurements; Biological system modeling; Boilers; Mathematical model; Parameter estimation; Power generation; Standards; Vectors; analytical redundancy; fault detection; fault identification; fault isolation; recursive least-squares; two-stage algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sciences and Techniques of Automatic Control and Computer Engineering (STA), 2013 14th International Conference on
Conference_Location :
Sousse
Print_ISBN :
978-1-4799-2953-5
Type :
conf
DOI :
10.1109/STA.2013.6783159
Filename :
6783159
Link To Document :
بازگشت