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Fault diagnosis and temperature sensor recovery for an air-handling unit.

Author(s) : LEE W. Y., HOUSE J. M., SHIN D. R.

Summary

The paper describes the use of a two-stage artificial neural network for fault diagnosis in a simulated air-handling unit. The stage one neural network is trained to identify the subsystem in which a fault occurs. The stage two neural network is trained to diagnose the specific cause of a fault at the subsystem level. Regression equations for the supply and mixed-air temperatures are obtained from simulation data and are used to compute input parameters to the neural networks. Simulation results are presented.

Details

  • Original title: Fault diagnosis and temperature sensor recovery for an air-handling unit.
  • Record ID : 1998-1831
  • Languages: English
  • Source: ASHRAE Transactions.
  • Publication date: 1997
  • Document available for consultation in the library of the IIR headquarters only.

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