Citation Impact
Citing Papers
Comprehensive Overview on Computational Intelligence Techniques for Machinery Condition Monitoring and Fault Diagnosis
2017
A new mobile application of agricultural pests recognition using deep learning in cloud computing system
2021 Standout
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
A Feature Extraction Method for Vibration Signal of Bearing Incipient Degradation
2016
Sound-aided vibration weak signal enhancement for bearing fault detection by using adaptive stochastic resonance
2019
Convolutional Neural Network Based Fault Detection for Rotating Machinery
2016 Standout
A review of stochastic resonance in rotating machine fault detection
2018
Deep learning for smart manufacturing: Methods and applications
2018 Standout
Detection and diagnosis of bearing faults using shift-invariant dictionary learning and hidden Markov model
2015
Condition monitoring and fault diagnosis of motor bearings using undersampled vibration signals from a wireless sensor network
2017
Intelligent condition monitoring method for bearing faults from highly compressed measurements using sparse over-complete features
2017
An improved initialization method of D-KSVD algorithm for bearing fault diagnosis
2017
An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings
2019 Standout
Wavelet transform based on inner product in fault diagnosis of rotating machinery: A review
2015
Fault Diagnosis Method Based on Principal Component Analysis and Broad Learning System
2019 Standout
A multiscale noise tuning stochastic resonance for fault diagnosis in rolling element bearings
2017
Stochastic resonance with Woods–Saxon potential for rolling element bearing fault diagnosis
2014
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
A Novel Feature Enhancement Method Based on Improved Constraint Model of Online Dictionary Learning
2019
Early fault diagnosis of bearing and stator faults of the single-phase induction motor using acoustic signals
2017 Standout
Intelligent fault diagnosis of rolling bearings based on normalized CNN considering data imbalance and variable working conditions
2020 Standout
Improved Fault Size Estimation Method for Rolling Element Bearings Based on Concatenation Dictionary
2019
Multiscale Convolutional Neural Networks for Fault Diagnosis of Wind Turbine Gearbox
2018 Standout
Bearing fault diagnosis of a permanent magnet synchronous motor via a fast and online order analysis method in an embedded system
2017
Applications of machine learning to machine fault diagnosis: A review and roadmap
2020 Standout
Applications of stochastic resonance to machinery fault detection: A review and tutorial
2019
Intelligent fault diagnosis method for rotating machinery via dictionary learning and sparse representation-based classification
2018
Bearing performance degradation assessment using long short-term memory recurrent network
2018
A review on signal processing techniques utilized in the fault diagnosis of rolling element bearings
2016 Standout
An Enhanced Intelligent Diagnosis Method Based on Multi-Sensor Image Fusion via Improved Deep Learning Network
2019 Standout
Impulse feature extraction method for machinery fault detection using fusion sparse coding and online dictionary learning
2015
Sparse Feature Identification Based on Union of Redundant Dictionary for Wind Turbine Gearbox Fault Diagnosis
2015
A Compact Convolutional Neural Network Augmented with Multiscale Feature Extraction of Acquired Monitoring Data for Mechanical Intelligent Fault Diagnosis
2020
Works of Jimeng Li being referenced
Compressed sensing based on dictionary learning for extracting impulse components
2013
Multiscale local features learning based on BP neural network for rolling bearing intelligent fault diagnosis
2019
A new adaptive cascaded stochastic resonance method for impact features extraction in gear fault diagnosis
2016
Adaptive stochastic resonance method for impact signal detection based on sliding window
2013
Multi-stable stochastic resonance and its application research on mechanical fault diagnosis
2013
A novel adaptive stochastic resonance method based on coupled bistable systems and its application in rolling bearing fault diagnosis
2018
Quantitative evaluation on the performance and feature enhancement of stochastic resonance for bearing fault diagnosis
2016
Rolling bearing fault diagnosis based on time-delayed feedback monostable stochastic resonance and adaptive minimum entropy deconvolution
2017
Fault feature enhancement of gearbox in combined machining center by using adaptive cascade stochastic resonance
2011
An Adaptive Randomized Orthogonal Matching Pursuit Algorithm With Sliding Window for Rolling Bearing Fault Diagnosis
2018