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Building Services Engineering Research and Technology
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Commissioning of AHU sensors using principal component analysis method

Fu Xiao, BSc MSc

Shengwei Wang, BSc MSc PhD CEng MCIBSE MASHRAE

Department of Building Services Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong

Principal component analysis (PCA) models are implemented for monitoring and fault detection and diagnosis (FDD) of air-handling units (AHUs), which is modified to solve the problems caused by the nonlinearity and variations in the environment. Independent heat balance and pressure-‘ ow balance models are developed to reduce the effects of the system nonlinearity and to make the PCA method valid in different control modes. Sensor faults are detected and partly isolated using Q-statistic (square prediction error) and Q-contribution plot. Simulation tests are conducted to demonstrate the use of the PCA method for automatic commissioning of AHU monitoring instrumentations and to validate the PCA method in detecting and diagnosing the AHU sensor faults under various typical operating conditions.

Building Services Engineering Research and Technology, Vol. 24, No. 3, 179-189 (2003)
DOI: 10.1191/0143624403bt070oa
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