Fannia Pacheco

Normandie Université — France

Engineering · Physical Sciences

14h-index1.7kcitations31works0.52yr avg
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Research Topics

Machine Fault Diagnosis Techniques(13), Gear and Bearing Dynamics Analysis(10), Fault Detection and Control Systems(8), Network Security and Intrusion Detection(6), Engineering Diagnostics and Reliability(6)

Publications30 total

Universal Domain Adaptation Benchmark for Time Series Data Representation
2025· 1 citedOpen Access
Deep Joint Distribution Optimal Transport for Universal Domain Adaptation on Time Series
2025Open Access
Threshold-guided multi-objective Generative Adversarial Networks for constructing artificial yet representative driving cycles
Engineering Applications of Artificial Intelligence·2023· 2 cited
Deep Ensemble-Based Classifier for Transfer Learning in Rotating Machinery Fault Diagnosis
IEEE Access·2022· 14 citedOpen Access
A framework to classify heterogeneous Internet traffic with Machine Learning and Deep Learning techniques for satellite communications
Computer Networks·2020· 42 citedOpen Access
Classification techniques for the management of the "Quality of Service" in Satellite Communication systems
theses.fr (ABES)·2019Open Access
A Wearable Machine Learning Solution for Internet Traffic Classification in Satellite Communications
Lecture notes in computer science·2019· 3 citedOpen Access
Threads and nanotechnology: monitoring of the vital pulse signal
Dialnet (Universidad de la Rioja)·2019Open Access
Towards the Deployment of Machine Learning Solutions in Network Traffic Classification: A Systematic Survey
IEEE Communications Surveys & Tutorials·2018· 352 citedOpen Access
A novel statistical based feature extraction approach for the inner-class feature estimation using linear regression
2018· 3 citedOpen Access
A comparison of fuzzy clustering algorithms for bearing fault diagnosis
Journal of Intelligent & Fuzzy Systems·2018· 82 cited
An autonomic traffic analysis proposal using Machine Learning techniques
2017· 1 citedOpen Access
Framework for Discovering Unknown Abnormal Condition Patterns in Gearboxes Using a Semi-supervised Approach
2017 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC)·2017· 1 cited
Some Preliminary Results on the Comparison of FCM, GK, FCMFP and FN-DBSCAN for Bearing Fault Diagnosis
2017 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC)·2017· 8 cited
Multi-fault Diagnosis of Rotating Machinery by Using Feature Ranking Methods and SVM-based Classifiers
2017 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC)·2017· 25 cited
A review on data-driven fault severity assessment in rolling bearings
Mechanical Systems and Signal Processing·2017· 684 cited
A Bayesian approach to consequent parameter estimation in probabilistic fuzzy systems and its application to bearing fault classification
Knowledge-Based Systems·2017· 43 cited
Automatic feature extraction of time-series applied to fault severity assessment of helical gearbox in stationary and non-stationary speed operation
Applied Soft Computing·2017· 73 cited
SOA Based Integrated Software to Develop Fault Diagnosis Models Using Machine Learning in Rotating Machinery
2017· 3 cited
A fuzzy transition based approach for fault severity prediction in helical gearboxes
Fuzzy Sets and Systems·2016· 35 cited
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Frequent Co-authors

Mariela Cerrada(19), René–Vinicio Sánchez(16), Diego Cabrera(14), Chuan Li(12), José Valente de Oliveira(11), Ernesto Expósito(5), Mathieu Gineste(5), José Aguilar(4), Grover Zurita(3), Rafael E. Vásquez(2), Cédric Baudoin(2), Gözde Ulutagay(2), Carlos Rangel(2), Junior Altamiranda(2), Pablo Lucero(2), Jean-Carlo Macancela(2), Francisco David Trujillo Aguilera(2), Romain Mussard(2), Maxime Bérar(2), Gilles Gasso(2)