Empirical Wavelet Transform - Globe Thesis

Keyword [Empirical Wavelet Transform] Result: 81 - 100 \| Page: 5 of 6
81.	Research On Fault Diagnosis Of Rolling Bearing Based On Improved EWT And MCKD
82.	Research On Fault Diagnosis Method Of Rolling Bearing Based On Improved Empirical Wavelet Transform
83.	Research On Intelligent Diagnosis Method Of Planetary Gearbox Based On Deep Learning
84.	Feature Extraction And Separation Of Bearing Faults Based On Sparse Shift Invariant Theory
85.	Research On Rollin Bearing Fault Diagnosis Baswd On EWT And Convolutional Neural Network
86.	Research On Fault Diagnosis Of Rolling Bearing Based On Notch Denoising And Empirical Wavelet Transform
87.	Reserch On Feature Extraction Of Bearing Weak Fault Based On Duffing System
88.	Research On Diagnosis Method Of High-speed Train Axle Box Bearings Based On Optimal Empirical Wavelet Transform
89.	Research On Optimal Combination Form Of Empirical Wavelet Transform In Bridge Modal Parameter Identification
90.	Damage Identification Of Time-Varing Structures Based On Improved EWT Algorithm
91.	Comparative Research On Adaptive Signal Decomposition Algorithm And Its Application In Hydraulic Pump Fault Diagnosis
92.	Research On A New Protection Method For LCC-MMC Hybrid Double-ended DC Transmission Lines
93.	Research On Bridge Damage Identification Based On Vehicle Scanning Method And Empirical Wavelet Transform
94.	Research On Rolling Bearing Fault Feature Extraction And Diagnosis Method Based On Optimized MCKD And Signal Decomposition Method
95.	Design Of Bearing Fault Diagnosis System For Rotor Power System
96.	Damage Identification And Characterization In Steel-concrete Composite Beams Using Acoustic Emission
97.	Research On Engine Speed Measurement Technology Based On Vibration
98.	Rolling Bearing Fault Diagnosis Based On IEWT And Adaptive FrFT Filtering
99.	Study On The Vibration Response Of Dike Crossing Pipeline Based On Empirical Wavelet Transform And Time-Wavelet Scaling Spectrum
100.	Research On Bearing Fault Acoustic Emission Signal Noise And Feature Recognition Method
<<First <Prev Next> Last>> Jump to