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- W2166361799 abstract "A sensor fault diagnosis system is designed using SVR. SVR is trained off line, and used online. After being trained, SVR is used to simulate system dynamic characteristic. The simulation result is compared with actual output, and then fault error is drawn. Then use the categorized algorithm of fault based on the SVR of the decision tree, classify the faults. The simulation result shows that, SVR can simulate the system more accurately, thus the fault error is very precise. and the classification to fault is correct. This assures the validity of this fault diagnosis system." @default.
- W2166361799 created "2016-06-24" @default.
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- W2166361799 date "2004-01-01" @default.
- W2166361799 modified "2023-09-27" @default.
- W2166361799 title "SIMULATION STUDY ON SENSOR FAULT DIAGNOSES OF THE PART METAL WALL TEMPERATURE OF THE BOILER HIGH-TEMPERATURE" @default.
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