Fault Detection in an Air-Handling Unit Using Residual and Recursive Parameter Identification Methods.
Fault Detection in an Air-Handling Unit Using Residual
and Recursive Parameter Identification Methods.
Lee, W. Y.; Park, C.; Kelly, G. E.
ASHRAE Transactions, Vol. 102, No. 1, 528-539, 1996.
Sponsor:Department of Energy, Washington, DC
air handling unit; fault detection; residual method;
system identification method
A scheme for detecting faults in an air-handling unit
using residual and parameter identification methods is
presented. Faults can be detected by comparing the
normal or expected operating condition data with the
abnormal, measured data using residuals. Faults can
also be detected by examining unmeasurable parameter
changes in a model of a controlled system using a system
parameter identification technique. In this study,
autoregressive moving average with exogenous input
(ARMAX) and autoregressive with exogenous input (ARX)
models with both single-input/single-output (SISO) and
multi-input/single-output (MISO) structures are
examined. Model parameters are determined using the
Kalman filter recursive identification method. This
approach is tested using experimental data from a
laboratory's variable-air-volume (VAV) air-handling unit
operated with and without faults.