Search Results - "Dai, Zhijia"

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  1. 1

    A Feature Extraction Method Using Improved Multi-Scale Entropy for Rolling Bearing Fault Diagnosis by Ju, Bin, Zhang, Haijiao, Liu, Yongbin, Liu, Fang, Lu, Siliang, Dai, Zhijia

    Published in Entropy (Basel, Switzerland) (21-03-2018)
    “…A feature extraction method named improved multi-scale entropy (IMSE) is proposed for rolling bearing fault diagnosis. This method could overcome information…”
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    Journal Article
  2. 2

    Enhanced Bearing Fault Detection Using Step-Varying Vibrational Resonance Based on Duffing Oscillator Nonlinear System by Zhao, Jiwen, Liu, Fang, Lu, Siliang, Dai, Zhijia, Liu, Yongbin, Shen, Jiale

    Published in Shock and vibration (01-01-2017)
    “…Bearing is a key part of rotary machines, and its working condition is critical in normal operation of rotary machines. Vibrational signals are usually…”
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    Journal Article
  3. 3

    Decreasing bit error rate by using enhanced tristable logical stochastic resonance in heavy noise condition by Lu, Siliang, Dai, Zhijia, Liu, Yongbin, Liu, Guoqiang, Yang, Hui, Wang, Feifei

    Published in Chinese journal of physics (Taipei) (01-04-2019)
    “…•Logical stochastic resonance (LSR) based on tristable potential is proposed.•Tristable LSR improves the output waveform quality in heavy noise…”
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    Journal Article