RESEARCH ON FAULT DIAGNOSIS OF SCREW CHILLER
In this paper, the traditional faults of screw chiller are simulated and the mathematics model is summed up, which could indicate the changes of characteristic parameters when faults happen. During the research, the artificial neural network is used to establish the mathematics model, and the training program and the test program are accomplished. In the end, this method is also applied in an example.
J.Z.HENG H.Y.LI Y.L.ZHOU D.YANG
The Key Laboratory of Three Gorges Reservoir Area of Chinese Education Ministry, College of Urban Co College of Environment and Resource, Southwest University of Science and Technology,Mianyang, 621010
国际会议
The 22nd International Congress of Refrigeration(第22届国际制冷大会)
北京
英文
2007-08-21(万方平台首次上网日期,不代表论文的发表时间)