Search Results - "Dai, Zhijia"
-
1
A Feature Extraction Method Using Improved Multi-Scale Entropy for Rolling Bearing Fault Diagnosis
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…”
Get full text
Journal Article -
2
Enhanced Bearing Fault Detection Using Step-Varying Vibrational Resonance Based on Duffing Oscillator Nonlinear System
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…”
Get full text
Journal Article -
3
Decreasing bit error rate by using enhanced tristable logical stochastic resonance in heavy noise condition
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…”
Get full text
Journal Article