Citation Impact

Citing Papers

Machinery fault diagnosis with imbalanced data using deep generative adversarial networks
2019
A new mobile application of agricultural pests recognition using deep learning in cloud computing system
2021 Standout
Navigating the confluence of artificial intelligence and education for sustainable development in the era of industry 4.0: Challenges, opportunities, and ethical dimensions
2024 Standout
Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study
2020 Standout
Current trends in explosive detection techniques
2011 Standout
Deep transfer network with joint distribution adaptation: A new intelligent fault diagnosis framework for industry application
2019 Standout
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 Standout
Red, Green, and Blue Luminescence by Carbon Dots: Full‐Color Emission Tuning and Multicolor Cellular Imaging
2015 Standout
Edge Computing: A Promising Framework for Real-Time Fault Diagnosis and Dynamic Control of Rotating Machines Using Multi-Sensor Data
2019
Digital Twin for rotating machinery fault diagnosis in smart manufacturing
2018 Standout
Enabling technologies and tools for digital twin
2019 Standout
Artificial intelligence for fault diagnosis of rotating machinery: A review
2018 Standout
Novel Multifunctional Polymers from Aromatic Diamines by Oxidative Polymerizations
2002
Membrane‐Properties of Polymer Films: The Acid‐Doping Reaction of Polyaniline
1991 StandoutNobel
Data fusion and machine learning for industrial prognosis: Trends and perspectives towards Industry 4.0
2018
Prognostics and Health Management: A Review of Vibration Based Bearing and Gear Health Indicators
2017 Standout
Sound-aided vibration weak signal enhancement for bearing fault detection by using adaptive stochastic resonance
2019
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 Standout
Fog computing and convolutional neural network enabled prognosis for machining process optimization
2019
Studies on the chemical syntheses and on the characteristics of polyaniline derivatives
1995 StandoutNobel
Disposable Electrochemical Sensor for Determination of Nitroaromatic Compounds by a Single-Run Approach
2006
Understanding and improving deep learning-based rolling bearing fault diagnosis with attention mechanism
2019
Online Fault Diagnosis Method Based on Transfer Convolutional Neural Networks
2019
Deep Laplacian Auto-encoder and its application into imbalanced fault diagnosis of rotating machinery
2019
Deep learning for smart manufacturing: Methods and applications
2018 Standout
Reliable multiple combined fault diagnosis of bearings using heterogeneous feature models and multiclass support vector Machines
2018
An intelligent fault diagnosis approach for planetary gearboxes based on deep belief networks and uniformed features
2018
A convolutional neural network based on a capsule network with strong generalization for bearing fault diagnosis
2018
Artificial intelligence for industry 4.0: Systematic review of applications, challenges, and opportunities
2022
A survey on Deep Learning based bearing fault diagnosis
2018
Review of digital twin about concepts, technologies, and industrial applications
2020 Standout
Progress in preparation, processing and applications of polyaniline
2009 Standout
Polyaniline: A historical survey
1990
Deep Residual Shrinkage Networks for Fault Diagnosis
2019 Standout
A hybrid feature model and deep learning based fault diagnosis for unmanned aerial vehicle sensors
2018
A comprehensive review of big data analytics throughout product lifecycle to support sustainable smart manufacturing: A framework, challenges and future research directions
2018 Standout
Deep Learning Algorithms for Bearing Fault Diagnostics—A Comprehensive Review
2020
Synthesis of polyaniline/polytoluidine block copolymer via the pernigraniline oxidation state
1994 StandoutNobel
A dependence-based feature vector and its application on planetary gearbox fault classification
2018
Controlled synthesis of high molecular weight polyaniline and poly(o-methoxyaniline)
1994 StandoutNobel
Deep Model Based Domain Adaptation for Fault Diagnosis
2016
Thermal transitions and mechanical properties of films of chemically prepared polyaniline
1992 StandoutNobel
Misfire and valve clearance faults detection in the combustion engines based on a multi-sensor vibration signal monitoring
2018
A Review of Artificial Intelligence Algorithms Used for Smart Machine Tools
2018
An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings
2019 Standout
An adaptive spatiotemporal feature learning approach for fault diagnosis in complex systems
2018
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
Machine Learning in Predictive Maintenance towards Sustainable Smart Manufacturing in Industry 4.0
2020 Standout
A novel fusion diagnosis method for rotor system fault based on deep learning and multi-sourced heterogeneous monitoring data
2018
Adaptive Channel Weighted CNN With Multisensor Fusion for Condition Monitoring of Helicopter Transmission System
2020
Deep learning enabled intelligent fault diagnosis: Overview and applications
2018
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
Fault severity identification of roller bearings using flow graph and non-naive Bayesian inference
2019
Data-Driven Methods for Predictive Maintenance of Industrial Equipment: A Survey
2019
Entropy Based Fault Classification Using the Case Western Reserve University Data: A Benchmark Study
2019
ReLTanh: An activation function with vanishing gradient resistance for SAE-based DNNs and its application to rotating machinery fault diagnosis
2019
A novel bearing fault diagnosis method based on 2D image representation and transfer learning-convolutional neural network
2019
Fault diagnosis of single-phase induction motor based on acoustic signals
2018 Standout
Multi-Stage Feature Selection by Using Genetic Algorithms for Fault Diagnosis in Gearboxes Based on Vibration Signal
2015
Aerobic Copper-Catalyzed Organic Reactions
2013 Standout
Regrouping particle swarm optimization based variable neural network for gearbox fault diagnosis
2018
Dynamic deep learning algorithm based on incremental compensation for fault diagnosis model
2018
Knowledge Transfer for Rotary Machine Fault Diagnosis
2019
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
Fault Severity Monitoring of Rolling Bearings Based on Texture Feature Extraction of Sparse Time–Frequency Images
2018
Fault detection of broken rotor bar in LS-PMSM using random forests
2017
Synthesis, doping, and processing of high molecular weight poly(o‐methoxyaniline)
1994 StandoutNobel
A convolutional neural network based feature learning and fault diagnosis method for the condition monitoring of gearbox
2017
Digital Twins: A Survey on Enabling Technologies, Challenges, Trends and Future Prospects
2022 Standout
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
Counter-ion induced processibility of polyaniline: Conducting melt processible polymer blends
1995 StandoutNobel
Semi-supervised gear fault diagnosis using raw vibration signal based on deep learning
2019
A new dynamic predictive maintenance framework using deep learning for failure prognostics
2019
Stacked Sparse Autoencoder-Based Deep Network for Fault Diagnosis of Rotating Machinery
2017
A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings
2018 Standout
Adaptive deep feature learning network with Nesterov momentum and its application to rotating machinery fault diagnosis
2018
Gear fault diagnosis under variable conditions with intrinsic time-scale decomposition-singular value decomposition and support vector machine
2017
An Adaptive Multi-Sensor Data Fusion Method Based on Deep Convolutional Neural Networks for Fault Diagnosis of Planetary Gearbox
2017
Review of the proton exchange membranes for fuel cell applications
2010 Standout
Fault Diagnosis for Rotating Machinery Using Vibration Measurement Deep Statistical Feature Learning
2016
A New Deep Transfer Learning Based on Sparse Auto-Encoder for Fault Diagnosis
2017 Standout
The Role of AI, Machine Learning, and Big Data in Digital Twinning: A Systematic Literature Review, Challenges, and Opportunities
2021 Standout
A Review of Further Directions for Artificial Intelligence, Machine Learning, and Deep Learning in Smart Logistics
2020 Standout
Rolling bearing fault diagnosis based on mean multigranulation decision-theoretic rough set and non-naive Bayesian classifier
2018
Multisensor Feature Fusion for Bearing Fault Diagnosis Using Sparse Autoencoder and Deep Belief Network
2017
Symbolic Important Point Perceptually and Hidden Markov Model Based Hydraulic Pump Fault Diagnosis Method
2018
Preprocessing-Free Gear Fault Diagnosis Using Small Datasets With Deep Convolutional Neural Network-Based Transfer Learning
2018
An Enhanced Intelligent Diagnosis Method Based on Multi-Sensor Image Fusion via Improved Deep Learning Network
2019 Standout
Deep Feature Learning Architectures for Daily Reservoir Inflow Forecasting
2016
A Compact Convolutional Neural Network Augmented with Multiscale Feature Extraction of Acquired Monitoring Data for Mechanical Intelligent Fault Diagnosis
2020

Works of Rafael E. Vásquez being referenced

Digital Transformation of Energy Companies: A Colombian Case Study
2021
A review on data-driven fault severity assessment in rolling bearings
2017
Polymer film coated electrodes prepared by electroxidation of aniline derivatives.
1985
Gearbox fault diagnosis based on deep random forest fusion of acoustic and vibratory signals
2016
On the problem of potential shifts at glassy carbon electrodes
1985
A comparative feature analysis for gear pitting level classification by using acoustic emission, vibration and current signals
2018
Multimodal deep support vector classification with homologous features and its application to gearbox fault diagnosis
2015
Fault diagnosis of spur gearbox based on random forest and wavelet packet decomposition
2015
Rankless by CCL
2026