Application of black-box models to HVAC systems for fault detection
Conference
·
OSTI ID:392491
- TNO Building and Construction Research, Delft (Netherlands). Dept. of Indoor Environment, Building Physics and Systems
- Univ. of Twente, Enschede (Netherlands). Dept. of Computer Science
This paper describes the application of black-box models for fault detection and diagnosis (FDD) in heating, ventilating, and air-conditioning (HVAC) systems. In this study, multiple-input/single-output (MISO) ARX models and artificial neural network (ANN) models are used. The ARX models are examined for different processes and subprocesses and compared with each other. Two types of models are established--system models and component models. In the case of system models, the HVAC system as a whole is regarded as a black box instead of as a collection of component models. With the component model type, the components of the HVAC system are regarded as separate black boxes.
- OSTI ID:
- 392491
- Report Number(s):
- CONF-960254--
- Country of Publication:
- United States
- Language:
- English
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