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Study on Fault Diagnosis of Main Drive System of Rolling Mill Based on EMD and AR Spectrum |
MENG Zong,GU Hai-yan,LIU Li-hui,YUAN Jing |
Key Laboratory of Measurement Technology and Instrumentation of Hebei Province, Yanshan University, Qinhuangdao, Hebei 066004, China |
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Abstract According to the non-stationary and non-linear characteristic of rolling mill fault signal, an analysis method based on EMD and AR spectrum is studied. First, the original vibration signals are decomposed by EMD. Subsequently, the IMFs relating to fault information are applied to AR spectrum analysis. The result of this method is the AR spectrum of relating IMFs, from which the fault frequencies can be extracted, and the locations of the faults can be identified. The method is applied to the rolling mill fault signals, then the state of the vibration can be acquired. The validity of the method is demonstrated by simulation and case analysis.
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