A5068781986- Machine Fault Diagnosis Techniques
- Gear and Bearing Dynamics Analysis
- Blind Source Separation Techniques
- Speech and Audio Processing
- Advanced Adaptive Filtering Techniques
- Engineering Diagnostics and Reliability
- Fault Detection and Control Systems
Chongqing Jiaotong University
2021
Zhejiang University of Technology
2012
To overcome the shortcomings that early fault characteristics of rolling bearing are not easy to be extracted and identification accuracy is high enough, a novel collaborative diagnosis method presented combined with VMD LSSVM for incipient faults bearing. First, basic concept was introduced in detail, then, adaptive selection principle parameter K constructed by instantaneous frequency mean. Furthermore, we used Lagrangian polynomial Euclidean norm verify value accurately. Secondly,...
Abstract In order to overcome the shortcomings of concealed early fault features rolling bearings which can not be better recognized and accuracy diagnosis is high enough, a novel collaborative method presented combing with variational modal decomposition (VMD) stochastic configuration network (SCN) for incipient faults bearing. First, decomposing original signal by VMD, then extracting peak‐to‐peak intrinsic mode function component from each fault, calculating sample entropy construct...
Acoustic feedback is a serious problem in hearing aids. The can result whistling sound and make people who have severe loss feel terrible. Traditional LMS normalized algorithm been studied before, but these algorithms do not provide satisfactory performance for reducing oscillation So band-limited NLMS proposed. In order to determine which adaptive filter used more suitable, we use two kinds scheme simulation compare the Signal-to- Feedback-Ratio (SFR) of schemes, has better output speech's...