冷冻机
过程(计算)
专家系统
冷冻机锅炉系统
空调
可靠性工程
工程类
断层(地质)
冷冻水
建筑工程
计算机科学
系统工程
冷水机组
人工智能
机械工程
地质学
气体压缩机
地震学
物理
操作系统
制冷剂
热力学
作者
C. N. Tan,Chee Fai Tan,Mohd Azman Abdullah
出处
期刊:International Review of Mechanical Engineering-IREME
[Praise Worthy Prize, s.r.l.]
日期:2017-04-30
卷期号:11 (4): 270-270
被引量:3
标识
DOI:10.15866/ireme.v11i4.11365
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI