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- W3208697673 abstract "Using vibration signal to identify mechanical equipment fault has become one of the main methods of mechanical fault detection, which has the advantages of no damage to the internal structure, no need to disassemble the equipment, simple installation and so on. This method is widely used in various fields. This paper uses EMD to decompose the vibration signal, establishes AR model for feature analysis, uses SVD to get the singular value as the feature of the vibration signal, and uses BP and GA-BP to train the system. The results show that the accuracy of GA-BP prediction is more than 95%, which meets the requirements of the system. This method can quickly identify the wear degree of crankshaft by using vibration signal without dismantling the equipment, which provides great convenience for vehicle fault detection." @default.
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- W3208697673 date "2021-08-13" @default.
- W3208697673 modified "2023-10-16" @default.
- W3208697673 title "Research on Health Management Technology of Oil Production Machine Based on Vibration Signal" @default.
- W3208697673 doi "https://doi.org/10.1109/sdpc52933.2021.9563359" @default.
- W3208697673 hasPublicationYear "2021" @default.
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