期刊
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
卷 53, 期 4, 页码 1327-1334出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIM.2004.831169
关键词
defect severity; feature extraction; health evaluation; Lempel-ZiN complexity; nonlinear dynamics
This paper presents a machine health evaluation technique using the Lempel-Ziv complexity as a numerical measure. Comparing to conventional techniques such as spectral and time-frequency analysis, the presented approach does not require a linear transfer function of the physical system to be evaluated, and is thus suited for the condition monitoring of machine systems under varying operation and loading conditions. Theoretical foundation of the technique is introduced, and its performance is investigated through experimental study of realistic vibration signals measured from a rolling bearing system. The results demonstrated that complexity provides an effective measure for machine health condition evaluation.
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