Fault Detection in an Air-Handling Unit Using Residual and Recursive Parameter Identification Methods

摘要

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 ofa controlled system using a system parameter identification technique. In this study, autoregressive moving average with exogenous input (ARA1A) and autoregressive with exogenous input (ARX) models with both single-input/single-output (SISO) and multi-tnput/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 variableair- volume (VAV.J) air-handling unit operated with and without faults.