Bin Pang

Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study

Semi-Supervised Broad Learning System Based on Manifold Regularization and Broad Network

Utilization of Crop Residue for Power Generation: The Case of Ukraine

Experimental measurements of carbon dioxide, methane and nitrogen high-pressure adsorption properties onto Malaysian coals under various conditions

Numerical study of hydrogen direct injection strategy on mixture formation and combustion process in a partially premixed gasoline Wankel rotary engine

Modeling study of hydrogen or syngas addition on combustion and emission characteristics of HCCI engine operating on iso-octane

Machine Learning in Predictive Maintenance towards Sustainable Smart Manufacturing in Industry 4.0

Fault Diagnosis Method Based on Principal Component Analysis and Broad Learning System

Fault Severity Monitoring of Rolling Bearings Based on Texture Feature Extraction of Sparse Time–Frequency Images

Heat effects and kinetics of coal spontaneous combustion at various oxygen contents

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

Comprehensive emergy evaluation and optimization of corn straw power generation system: a case study

Hydrogen production for energy: An overview

Aircraft Hybrid-Electric Propulsion: Development Trends, Challenges and Opportunities

Rotor Fault Diagnosis Based on Characteristic Frequency Band Energy Entropy and Support Vector Machine

Experimental investigation of the constant and time-dependent dynamic diffusion coefficient: Implication for CO2 injection method

Rolling Bearing Fault Diagnosis Based on an Improved HTT Transform

Enhancement on a Skeletal Kinetic Model for Primary Reference Fuel Oxidation by Using a Semidecoupling Methodology

A new model that using transfer stations for straw collection and transportation in the rural areas of China: A case of Jinghai, Tianjin

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

Improvement on a skeletal chemical kinetic model of iso-octane for internal combustion engine by using a practical methodology