Abstract
Building air conditioning is a demanding trend nowadays. It gives maximum comfort working and leisure environment to the occupant as well as it reduces the indoor temperature. This project describes the use of an expert system shell to develop a fault diagnosis system for building chillers. For the building chiller, services and maintenances of the machine are heavily depending on human expertise, which is costly and critical. Hence, the main goal of the developed system is to diagnose the problems of building chillers. With the developed system, the diagnosis process for building chillers is standardized, precise and faster compared to the normal way. The developed system is useful for the inexperienced staff as a training module as well. The constraint values for this developed expert system are based on building chiller design data and expert’s experiences. A case study was also conducted to verify the capability of the developed system.
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