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Abstract: A fault detection and diagnosis method is presen-ted,
which based on analytical redundancy and statistics, for detecting and
evaluating the temperature sensors with fixed bias in HVAC water
systems. Based on energy conservation, analytical redundancy models of
measurements and measure-ment
residuals of each selected control volume are set up, and then the FDD
problem could be changed into solving the minimization problem by using
of statistic theory. The equations for FDD are set up and solved to
obtain the fixed bias of measurements of temperature sensors. It is
discussed to select data samples for FDD as well as reliability in this
paper. The presented FDD method is tested and validated by simulation of
chilling water systems. The results show that this method could be used
to detect and evaluate the fault of fixed bias of temperature sensor
caused by zero shifts.
Key
words: Temperature sensors HVAC Water systems FDD Fixed bias
CLC No: TU8
Received 20031008, received in
revised form 20040608
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