Yuling He

Deep transfer network with joint distribution adaptation: A new intelligent fault diagnosis framework for industry application

A novel method for intelligent fault diagnosis of rolling bearings using ensemble deep auto-encoders

A review on hydrothermal liquefaction of biomass

Fast Pyrolysis in a Microfluidized Bed Reactor: Effect of Biomass Properties and Operating Conditions on Volatiles Composition as Analyzed by Online Single Photoionization Mass Spectrometry

Hydrothermal liquefaction oil and hydrotreated product from pine feedstock characterized by heteronuclear two-dimensional NMR spectroscopy and FT-ICR mass spectrometry

The molecular structure of Inner Mongolia lignite utilizing XRD, solid state 13C NMR, HRTEM and XPS techniques

Application of an improved maximum correlated kurtosis deconvolution method for fault diagnosis of rolling element bearings

Application of an improved minimum entropy deconvolution method for railway rolling element bearing fault diagnosis

A Review of Fault Detection and Diagnosis for the Traction System in High-Speed Trains

Online Analysis of Biomass Pyrolysis Tar by Photoionization Mass Spectrometry

Fault Diagnosis of Rolling Bearings Based on Improved Fast Spectral Correlation and Optimized Random Forest

Lignocellulosic biomass pyrolysis mechanism: A state-of-the-art review

Applications of machine learning to machine fault diagnosis: A review and roadmap

The Entropy Algorithm and Its Variants in the Fault Diagnosis of Rotating Machinery: A Review

Insight into the structural features of Zhaotong lignite using multiple techniques

Advances in Lignite Extraction and Conversion under Mild Conditions

Characterization of Red Pine Pyrolysis Bio-oil by Gas Chromatography–Mass Spectrometry and Negative-Ion Electrospray Ionization Fourier Transform Ion Cyclotron Resonance Mass Spectrometry

A Novel Method of Fault Diagnosis for Rolling Bearing Based on Dual Tree Complex Wavelet Packet Transform and Improved Multiscale Permutation Entropy

Rolling Bearing Fault Diagnosis Based on Optimal Notch Filter and Enhanced Singular Value Decomposition

Diagnosis of compound faults of rolling bearings through adaptive maximum correlated kurtosis deconvolution