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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/10127

Title: Non-linear recursive parameter estimation applied to fault detection and diagnosis in real buildings
Authors: Buswell, Richard A.
Haves, Philip
Salsbury, Timothy I.
Wright, Jonathan A.
Keywords: HVAC
Modelling
First-principles
Parameter estimation
Fault detection
Condition monitoring
Valve model
Actuator model
Hysteresis model
Issue Date: 2002
Citation: BUSWELL, R.A., HAVES, P., SALSBURY, T.I. and WRIGHT, J.A., 2002. Non-linear recursive parameter estimation applied to fault detection and diagnosis in real buildings. IN: Proceedings of the 6th International Conference on System Simulation in Buildings, University of Liege, Belgium, 15-18 December 2002.
Abstract: This paper describes a fault detection and diagnosis scheme based on parameter estimation and presents results from its application to a cooling coil subsystem in a real building. A non-linear adaptation of the Prediction Error Forgetting (PEF), algorithm is employed to estimate the parameters of a simple, steady-state, first principles based cooling coil model. A steady-state detector is used to discard data with excessive transients. Three model parameters represent possible faults; control valve leakage, coil fouling and sensor offset. These parameters are estimated recursively, together with the uncertainty in the estimated values. A significant change in a particular parameter indicates abnormal operation and suggests a diagnosis. The paper describes the first-principle models and their fault parameters, the steady-state detector, and the recursive parameter estimation algorithm. Results from the application of the technique to data measured in a test building demonstrate that valve leakage and coil fouling can be detected and diagnosed. The applicability of the approach to fault detection and diagnosis in real systems is also discussed.
Description: This is a conference paper.
Version: Accepted for publication
URI: https://dspace.lboro.ac.uk/2134/10127
Appears in Collections:Conference Papers (Civil and Building Engineering)

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