Fault detection based on two-stage recursive least squares parameter estimation

摘要: 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 The first step of the proposed to identify model. Second one implement these identification methods at thermal power plant, whose nominal 320 MW. water level measurements estimated parameter estimation. To validate model, autocorrelation function measurement residuals and cross-correlation between input signals analyzed. next, determination residual mean value divided standard deviation used fault detection. Comparison conventional model finally presented.