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Research on Fault Detection and Diagnosis of Scrolling Chiller with ANN
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At first the basic research about FDD is summarized, and a detection model based on ANN is initially set up. The paper presents experiments that simulate seven faults, including change flow rate of chilled water, cooling water and refrigerant, charge non-condense gas, shift temperature of cooling water and alter outside cold load. A set of characteristic parameters are defined in order to differentiate these faults and clarify the reasons. Finally, an FDD tool is programmed based on ANN with experimental results which form a training stylebook and test stylebook.
Zhou, Y.; Zheng, J.; Liu, Z.; Yang, C.; Peng, P. (2006). Research on Fault Detection and Diagnosis of Scrolling Chiller with ANN. Energy Systems Laboratory (http://esl.tamu.edu); Texas A&M University (http://www.tamu.edu). Available electronically from