Development of a fault diagnosis method for heating systems using neural networks
Conference
·
OSTI ID:392489
- Centre Scientifique et Technique du Batiment, Marne La Vallee (France). HVAC Dept.
The application of artificial neural networks (ANNs) for developing a fault diagnosis (FD) method in complex heating systems is presented in this paper. The six operating modes with faults used to develop this FD method came from the results of a detailed investigation in cooperation with heating system maintenance experts and are among the most important operating faults for this type of system. Because a daily diagnosis is generally sufficient, the ANNs have been developed using the daily values obtained by a preprocessing of the numerical simulation data. This paper presents the first step of the method development. It demonstrates the feasibility of using ANNs for fault diagnosis of a specific heating, ventilating, and air-conditioning (HVAC) system provided training data representative of the behavior of the system with and without faults are available. The next step will consist of developing a generic method that requires less training data.
- OSTI ID:
- 392489
- Report Number(s):
- CONF-960254--
- Country of Publication:
- United States
- Language:
- English
Similar Records
A neural network prototype for fault detection and diagnosis of heating systems
Fault diagnosis in nuclear power plants using an artificial neural network technique
An artificial neural network approach to transformer fault diagnosis
Conference
·
Tue Dec 30 23:00:00 EST 1997
·
OSTI ID:345266
Fault diagnosis in nuclear power plants using an artificial neural network technique
Conference
·
Thu Dec 31 23:00:00 EST 1992
· Transactions of the American Nuclear Society; (United States)
·
OSTI ID:7128927
An artificial neural network approach to transformer fault diagnosis
Journal Article
·
Tue Oct 01 00:00:00 EDT 1996
· IEEE Transactions on Power Delivery
·
OSTI ID:422769