Lei Wang∗
Rotating machinery, vibration signals, octave analysis algorithm, order analysis algorithm, resampling
In order to solve the limitation of traditional methods in processing vibration signals of rotating machinery, an octave analysis algorithm based on multi-resolution and an order analysis algorithm based on angle resampling are proposed in this study. Both algorithms employ innovative methods and techniques to achieve more accurate vibration signal analysis. The octave analysis algorithm realises the spectrum analysis of different resolutions by multi-stage extraction, while the order analysis algorithm uses the resampling method to analyse the vibration signal caused by the rotating machinery under periodic excitation. The proposal and implementation of these two algorithms reflect the innovation of the method and application of this research. In the performance test of octave analysis algorithm, it is found that the proposed algorithm takes 40 s to contain 12 spectral lines, and its accuracy is basically below -5 dB under 1/12 octave display, which indicates that the proposed algorithm has better performance. The results show that the area under ROC curve and accuracy of the proposed order analysis algorithm are 0.85% and 95.12% respectively, which is superior to the comparison algorithm, further proving the innovation and practicability of the proposed algorithm. The above results show that the proposed algorithm can improve the accuracy and efficiency of the vibration signal in the fault diagnosis of rotating machinery, contribute to the intelligent monitoring and maintenance of rotating machinery, and provide a new perspective and tool for the research and practice in related fields.
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