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- W2368785000 abstract "It is hard to accurately locate the type of CNC machine tools failure with a single sensor. An effort based on mixed D-S evidence theory was proposed. Then multi-sensor data fusion technology can be easily applied to fault diagnosis of CNC machine tools. A typical sample database based on the former fault detection of CNC machine tools was established. Based on the database,the belief density function of the objective failure modes can be constructed,and by normalizing them,the belief function assignment and uncertainty was obtained. Then multi-sensor data was fused by using improved D-S rule. Finally,the target failure type of CNC machine tools can be educed. A diagnosis example shows that the method can greatly reduce the uncertainty of diagnosis,improve the accuracy of fault diagnosis and is valuable to the practical application of fault diagnosis." @default.
- W2368785000 created "2016-06-24" @default.
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- W2368785000 date "2014-01-01" @default.
- W2368785000 modified "2023-09-27" @default.
- W2368785000 title "Attempt on Application of Multi-Sensor Data Fusion in Fault Diagnosis of CNC Machine Tools" @default.
- W2368785000 hasPublicationYear "2014" @default.
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