Citation Impact
Citing Papers
Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study
2020 Standout
Deep transfer network with joint distribution adaptation: A new intelligent fault diagnosis framework for industry application
2019 Standout
SVM-DS fusion based soft fault detection and diagnosis in solar water heaters
2018 Standout
A hybrid reader tranceiver design for industrial internet of things
2016
Artificial intelligence for fault diagnosis of rotating machinery: A review
2018 Standout
Prognostics and Health Management: A Review of Vibration Based Bearing and Gear Health Indicators
2017 Standout
A novel method for intelligent fault diagnosis of rolling bearings using ensemble deep auto-encoders
2017 Standout
Hall effect and resistivity of oxygen-deficientYBa 2 Cu 3 O 7 − δ
1993
Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data
2015 Standout
Industry 4.0: state of the art and future trends
2018 Standout
The pseudogap in high-temperature superconductors: an experimental survey
1999 Standout
Deep learning for smart manufacturing: Methods and applications
2018 Standout
Deep Residual Shrinkage Networks for Fault Diagnosis
2019 Standout
A recurrent neural network based health indicator for remaining useful life prediction of bearings
2017 Standout
A comprehensive review of big data analytics throughout product lifecycle to support sustainable smart manufacturing: A framework, challenges and future research directions
2018 Standout
Fault diagnosis of rotary machinery components using a stacked denoising autoencoder-based health state identification
2016 Standout
Artificial intelligence, machine learning and deep learning in advanced robotics, a review
2023 Standout
China's manufacturing locus in 2025: With a comparison of “Made-in-China 2025” and “Industry 4.0”
2017 Standout
Recent trends and challenges in predictive maintenance of aircraft’s engine and hydraulic system
2021
Machine Learning and Deep Learning in smart manufacturing: The Smart Grid paradigm
2021 Standout
Predictive maintenance in the Industry 4.0: A systematic literature review
2020 Standout
A Hybrid EEMD-Based SampEn and SVD for Acoustic Signal Processing and Fault Diagnosis
2016
Industry 4.0: A survey on technologies, applications and open research issues
2017 Standout
A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications
2020 Standout
Machinery health prognostics: A systematic review from data acquisition to RUL prediction
2017 Standout
Fault diagnosis of single-phase induction motor based on acoustic signals
2018 Standout
Dynamic deep learning algorithm based on incremental compensation for fault diagnosis model
2018
Early fault diagnosis of bearing and stator faults of the single-phase induction motor using acoustic signals
2017 Standout
Correlation between the acoustic and dynamic mechanical properties of natural rubber foam: Effect of foaming temperature
2010
An enhanced convolutional neural network for bearing fault diagnosis based on time–frequency image
2020
A deep convolutional neural network with new training methods for bearing fault diagnosis under noisy environment and different working load
2017 Standout
Intelligent fault diagnosis of rolling bearings based on normalized CNN considering data imbalance and variable working conditions
2020 Standout
Deep learning and its applications to machine health monitoring
2018 Standout
Polyurethane Foams: Past, Present, and Future
2018 Standout
A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method
2017 Standout
Multiscale Convolutional Neural Networks for Fault Diagnosis of Wind Turbine Gearbox
2018 Standout
Applications of machine learning to machine fault diagnosis: A review and roadmap
2020 Standout
Fault Diagnosis for Rotating Machinery Using Multiple Sensors and Convolutional Neural Networks
2017 Standout
Dempster-Shafer evidence theory for multi-bearing faults diagnosis
2016
A New Deep Transfer Learning Based on Sparse Auto-Encoder for Fault Diagnosis
2017 Standout
A novel bearing fault diagnosis model integrated permutation entropy, ensemble empirical mode decomposition and optimized SVM
2015
Works of Y.S. Wang being referenced
A sound quality model for objective synthesis evaluation of vehicle interior noise based on artificial neural network
2013
Magnetoresistance and conductivity fluctuations in single crystalline Bi1.7Pb0.3Sr1.9CaCu1.9O8 + x
1992
A prediction method of the acoustical properties of multilayered noise control materials in standing wave-duct systems
2006
Sound-quality prediction for nonstationary vehicle interior noise based on wavelet pre-processing neural network model
2006
A 0.92/5.3nJ/b UWB impulse radio SoC for communication and localization
2010
An intelligent approach for engine fault diagnosis based on Hilbert–Huang transform and support vector machine
2013