Creating an automated chiller fault detection and diagnostics tool using a data fault library

Author:

Bailey Margaret B.,Kreider Jan F.

Publisher

Elsevier BV

Subject

Applied Mathematics,Control and Systems Engineering,Electrical and Electronic Engineering,Computer Science Applications,Instrumentation

Reference16 articles.

1. The design and viability of a probabilistic fault detection and diagnosis method for vapor compression cycle equipment. Ph.D. dissertation;Bailey,1998

2. Massie, D. and Bailey, M., Optimization and fault evaluation of a building's cooling plant using neural networks. Proceedings from ECOS 2000 International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Aspects of Energy and Process Systems, University of Twente, Enschede, The Netherlands, July 5-7, 2000.

3. Bailey, M. B., Kreider, J. F., and Curtiss, P. S., Results of a probabilistic fault detection and diagnosis method for vapor compression cycle equipment. Proceedings from Dublin 2000 International Conference of Chartered Institution of Building Services Engineers and American Society of Heating Refrigeration and Air-Conditioning Engineers, Inc., College of Surgeons, Dublin, Ireland, September 21-23, 2000.

4. Estimation of thermophysical properties of lubricating oils and their solutions with refrigerants: An appraisal of existing methods;Conde;Appl. Therm. Eng.,1996

5. Vapor-liquid equilibrium for R-32 and R-410A mixed with a polyol ester: Non-ideality and local composition modeling;Burton;Int. J. Refrig.,1999

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