| 论文题目 | 刊物名称 | 刊物国家 | 收录情况 | 卷期 | 排名 |
|
Adaptive multiscale noise control enhanced stochastic resonance method based on modified EEMD with its application in bearing fault diagnosis
|
Shock and Vibration
|
国外
|
SCI
|
2016
|
1
|
|
A new adaptive cascaded stochastic resonance method for impact features extraction in gear fault diagnosis
|
Measurement
|
国外
|
SCI
|
2016,91
|
1
|
|
Adaptive stochastic resonance method for impact signal detection based on sliding window
|
Mechanical Systems and Signal Processing
|
国外
|
SCI
|
2013,36
|
1
|
|
Multi-stable stochastic resonance research on mechanical fault diagnosis
|
Journal of Sound and Vibration
|
国外
|
SCI
|
2013,22
|
1
|
|
A New noise-controlled second-order enhanced stochastic esonance method with its application in wind turbine drivetrain fault diagnosis
|
Renewable Energy
|
国外
|
SCI
|
2013,60
|
1
|
|
Quantitative evaluation on the performance and feature enhancement of stochastic resonance for bearing fault diagnosis
|
Mechanical System and Signal Processing
|
国外
|
SCI
|
2016,81
|
2
|
|
ault feature enhancement of gearbox in combined machining center using adaptive cascade stochastic resonance
|
Science China, Science China Technological Sciences
|
国外
|
SCI
|
2011,54
|
2
|
|
Compressed sensing based on dictionary learning for extracting impulse components
|
Signal Processing
|
国外
|
SCI
|
2013,96
|
3
|
|
采用粒子群算法的冲击信号自适应单稳态随机共振检测方法
|
机械工程学报
|
国内
|
EI
|
2011,47
|
1
|
|
风力发电机状态监测和故障诊断技术的研究与进展
|
机械工程学报
|
国内
|
EI
|
2011,47
|
2
|
|
基于自适应随机共振和稀疏编码收缩算法的齿轮故障诊断方法
|
中国机械工程
|
国内
|
|
2016,27
|
1
|
|
[1] Rolling bearing fault diagnosis based on time-delayed feedback monostable stochastic resonance and adaptive minimum entropy deconvolution
|
Journal of Sound and Vibration
|
国外
|
SCI
|
2017,401
|
1
|
|
A novel adaptive stochastic resonance method based on coupled bistable systems and its application in rolling bearing fault diagnosis
|
Mechanical Systems and Signal Processing
|
国外
|
SCI
|
2019,114
|
1
|
|
An Adaptive Randomized Orthogonal Matching Pursuit Algorithm with Sliding Window for Rolling Bearing Fault Diagnosis
|
IEEE Access
|
国外
|
SCI
|
2018,6
|
1
|