A5014017581- Machine Fault Diagnosis Techniques
- Advanced Electrical Measurement Techniques
- Structural Health Monitoring Techniques
- Fault Detection and Control Systems
- Engineering Diagnostics and Reliability
- Geophysics and Sensor Technology
- Blind Source Separation Techniques
Shanghai Jiao Tong University
2019-2020
Synchrosqueezing transform (SST) is a currently proposed novel postprocessing time-frequency (TF) analysis tool. It has been widely shown that SST able to improve TF representation. However, so far, how the resolution while ensuring accuracy of signal reconstruction still an open question, particularly for vibration with time-varying instantaneous frequency (IF) characteristics, due fact signals mechanical equipment usually contain many types noise generated by harsh operating conditions,...
Time-frequency analysis (TFA) is regarded as an efficient technique to reveal the hidden characteristics of oscillatory signal. At present, traditional TFA methods always construct signal model in time domain and assume instantaneous features modes be continuous. Thus, most these approaches fail tackle some specific kinds impulselike signal, including shock vibration waves, damped tones, or marine mammals. This article introduces a new method called generalized horizontal synchrosqueezing...
This article introduces the second-order transient-extracting transform (TET2) to extract transient components from a nonstationary signal. Different traditional (TET1), proposed method is based on more general frequency-domain signal model, termed Gaussian-modulated linear group delay model. The first step of computation (GD) estimator that describes temporal positioning ridges in time-frequency (TF) plane. Based this GD estimator, we can then obtain an energy-concentrated TF...
Advancements in the synchrosqueezing transform as a postprocessing time-frequency method have received considerable attention past few decades for analysis of nonstationary signals. Many studies focused on improving accuracy estimated instantaneous frequency (IF). In some fields, IF spectra signals exhibit fast varying behavior or even times parallel to axis. Thus, majority existing methods may fail adequately handle transient such guided waves and vibration waves. To address this problem,...