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Juan José Saucedo-Dorantes

Observed names: J J. Saucedo-Dorantes, J. J. S. Dorantes, J. J. Saucedo- Dorantes, J. J. Saucedo-Dorantes, J.J. Saucedo-Dorantes, Juan J. Saucedo-Dorantes, Juan J. SaucedoDorantes, Juan Jose Saucedo-Dorantes, Juan José Saucedo Dorantes, Juan-Jose Saucedo-Dorantes, Saucedo Dorantes, Juan José
ORCID: 0000-0001-9026-6694
Observed ORCID: 0000-0001-9026-6694
OpenAlex ID: A5038708149
Multifault Diagnosis Method Applied to an Electric Machine Based on High-Dimensional Feature Reduction
2016 · Juan Jose Saucedo-Dorantes, Miguel Delgado-Prieto, et al. · IEEE Transactions on Industry Applications · 87
Multiple-Fault Detection Methodology Based on Vibration and Current Analysis Applied to Bearings in Induction Motors and Gearboxes on the Kinematic Chain
2016 · Juan Jose Saucedo-Dorantes, Miguel Delgado-Prieto, et al. · Shock and Vibration · 84
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Deep-Learning-Based Methodology for Fault Diagnosis in Electromechanical Systems
2020 · Francisco Arellano-Espitia, Miguel Delgado-Prieto, et al. · Sensors · 57
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Industrial Data-Driven Monitoring Based on Incremental Learning Applied to the Detection of Novel Faults
2020 · Juan Jose Saucedo-Dorantes, Miguel Delgado-Prieto, et al. · IEEE Transactions on Industrial Informatics · 51
Novel Methodology for Condition Monitoring of Gear Wear Using Supervised Learning and Infrared Thermography
2020 · Emmanuel Resendiz-Ochoa, Juan J. Saucedo-Dorantes, et al. · Applied Sciences · 49
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Methodology for the Detection and Classification of Power Quality Disturbances Using CWT and CNN
2024 · Eduardo Perez-Anaya, Arturo Yosimar Jaen-Cuellar, et al. · Energies · 43
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Virtual Reality Training Application for the Condition-Based Maintenance of Induction Motors
2022 · David Checa, Juan José Saucedo-Dorantes, et al. · Applied Sciences · 41
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Diagnosis Methodology Based on Deep Feature Learning for Fault Identification in Metallic, Hybrid and Ceramic Bearings
2021 · Juan Jose Saucedo-Dorantes, Francisco Arellano-Espitia, et al. · Sensors · 41
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State of Charge Estimation Model Based on Genetic Algorithms and Multivariate Linear Regression with Applications in Electric Vehicles
2023 · Carlos Gustavo Manriquez-Padilla, Isaias Cueva-Perez, et al. · Sensors · 39
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Condition monitoring strategy based on an optimized selection of high-dimensional set of hybrid features to diagnose and detect multiple and combined faults in an induction motor
2021 · Juan Jose Saucedo-Dorantes, Arturo Yosimar Jaen-Cuellar, et al. · Measurement · 38
Early and extremely early multi-label fault diagnosis in induction motors
2020 · Mario Juez-Gil, Juan José Saucedo-Dorantes, et al. · ISA Transactions · 37
Multiple-fault detection and identification scheme based on hierarchical self-organizing maps applied to an electric machine
2019 · Juan Jose Saucedo-Dorantes, Miguel Delgado-Prieto, et al. · Applied Soft Computing · 37
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Condition Monitoring Method for the Detection of Fault Graduality in Outer Race Bearing Based on Vibration-Current Fusion, Statistical Features and Neural Network
2021 · Juan-Jose Saucedo-Dorantes, Israel Zamudio-Ramirez, et al. · Applied Sciences · 36
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A Novel Deep Learning-Based Diagnosis Method Applied to Power Quality Disturbances
2021 · Artvin-Darien Gonzalez-Abreu, Miguel Delgado-Prieto, et al. · Energies · 32
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Thermography-Based Methodology for Multifault Diagnosis on Kinematic Chain
2018 · Miguel Delgado-Prieto, Jesus Adolfo Carino-Corrales, et al. · IEEE Transactions on Industrial Informatics · 25
Diagnosis methodology for identifying gearbox wear based on statistical time feature reduction
2017 · Juan Jose Saucedo-Dorantes, Miguel Delgado-Prieto, et al. · Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science · 25
Gradual Wear Diagnosis of Outer-Race Rolling Bearing Faults through Artificial Intelligence Methods and Stray Flux Signals
2021 · Israel Zamudio-Ramirez, Roque A. Osornio-Rios, et al. · Electronics · 24
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Statistical Machine Learning Strategy and Data Fusion for Detecting Incipient ITSC Faults in IM
2023 · Arturo Yosimar Jaen-Cuellar, Juan Jose Saucedo-Dorantes, et al. · Machines · 22
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Deep-Compact-Clustering Based Anomaly Detection Applied to Electromechanical Industrial Systems
2021 · Francisco Arellano-Espitia, Miguel Delgado-Prieto, et al. · Sensors · 21
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Vibration Signal Forecasting on Rotating Machinery by means of Signal Decomposition and Neurofuzzy Modeling
2016 · Daniel Zurita-Millán, Miguel Delgado-Prieto, et al. · Shock and Vibration · 20
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Detection of Uniform Gearbox Wear in Induction Motors Based on the Analysis of Stray Flux Signals Through Statistical Time-Domain Features and Dimensionality Reduction Techniques
2022 · Israel Zamudio-Ramirez, Juan Jose Saucedo-Dorantes, et al. · IEEE Transactions on Industry Applications · 19
Detection of Inter-Turn Short Circuits in Induction Motors under the Start-Up Transient by Means of an Empirical Wavelet Transform and Self-Organizing Map
2023 · Juan Jose Saucedo-Dorantes, Arturo Yosimar Jaen-Cuellar, et al. · Machines · 17
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An Entropy-Based Condition Monitoring Strategy for the Detection and Classification of Wear Levels in Gearboxes
2023 · David A. Elvira-Ortiz, Juan J. Saucedo-Dorantes, et al. · Entropy · 15
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Application of Thermography and Convolutional Neural Network to Diagnose Mechanical Faults in Induction Motors and Gearbox Wear
2024 · Emmanuel Resendiz-Ochoa, Omar Trejo-Chavez, et al. · Applied System Innovation · 14
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Power Quality Monitoring Strategy Based on an Optimized Multi-Domain Feature Selection for the Detection and Classification of Disturbances in Wind Generators
2022 · David A. Elvira-Ortiz, Juan J. Saucedo-Dorantes, et al. · Electronics · 12
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Works count: 78
Citation count: 1,037
H-index: 20
I10-index: 27
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