Citation Impact
Citing Papers
Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study
2020 Standout
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 Standout
Deep Learning for fault detection in wind turbines
2018
Planetary gearbox fault diagnosis based on data-driven valued characteristic multigranulation model with incomplete diagnostic information
2018
Deep learned recurrent type-3 fuzzy system: Application for renewable energy modeling/prediction
2021 Standout
Chimp optimization algorithm
2020 Standout
An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings
2019 Standout
Machine Learning and Deep Learning in smart manufacturing: The Smart Grid paradigm
2021 Standout
Supercritical carbon dioxide cycles for power generation: A review
2017 Standout
Predictive maintenance in the Industry 4.0: A systematic literature review
2020 Standout
Machine Learning in Predictive Maintenance towards Sustainable Smart Manufacturing in Industry 4.0
2020 Standout
Fault Diagnosis Method Based on Principal Component Analysis and Broad Learning System
2019 Standout
A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications
2020 Standout
Advanced Statistical Modeling, Forecasting, and Fault Detection in Renewable Energy Systems
2020
Data-Driven Methods for Predictive Maintenance of Industrial Equipment: A Survey
2019
ReLTanh: An activation function with vanishing gradient resistance for SAE-based DNNs and its application to rotating machinery fault diagnosis
2019
A test-suite of non-convex constrained optimization problems from the real-world and some baseline results
2020
A review on the application of deep learning in system health management
2018
A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures
2019 Standout
Machine learning methods for solar radiation forecasting: A review
2017 Standout
Review of organic Rankine cycle (ORC) architectures for waste heat recovery
2015 Standout
Advances and challenges in ORC systems modeling for low grade thermal energy recovery
2014
Activation functions in deep learning: A comprehensive survey and benchmark
2022 Standout
Applications of machine learning to machine fault diagnosis: A review and roadmap
2020 Standout
Supercritical CO2 Brayton cycles for solar-thermal energy
2013
Machine learning methods for wind turbine condition monitoring: A review
2018
Health Monitoring for Balancing Tail Ropes of a Hoisting System Using a Convolutional Neural Network
2018
Works of Huan Long being referenced
Analysis of daily solar power prediction with data-driven approaches
2014
Differential Evolution With a New Encoding Mechanism for Optimizing Wind Farm Layout
2017
Wind Turbine Gearbox Failure Identification With Deep Neural Networks
2016