Mariela Cerrada

Politecnica Salesiana University — EC

Engineering · Physical Sciences

30h-index4.5kcitations154works2.52yr avg
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Research Topics

Machine Fault Diagnosis Techniques(78), Fault Detection and Control Systems(51), Gear and Bearing Dynamics Analysis(40), Engineering Diagnostics and Reliability(25), Multi-Agent Systems and Negotiation(12)

Publications153 total

Electric torque for fault severity diagnosis in gearbox-type load: ML approaches based on Poincaré plot and statistical features
Scientific Reports·2025Open Access
One-class transformer-based feature disentanglement with clustering-driven semisupervised learning for the fault diagnosis of reciprocating machinery
ISA Transactions·2025
IoT, AI, and Digital Twins in Smart Cities: A Systematic Review for a Thematic Mapping and Research Agenda
Smart Cities·2025· 4 citedOpen Access
Industry 4.0 Technologies for an Observer-Based Gearbox Fault Detection Architecture
2025· 1 cited
Poincaré Features for Estimation of Remaining Useful Life in Roller Bearings
2025
One-Class Learning-Based Contrastive Reconstruction Framework for the Anomaly Detection of Reciprocating Machinery
IEEE Transactions on Reliability·2025
Transformer framework for the fault detection of a reciprocating compressor
IET conference proceedings.·2025
Detection and adaptation to concept evolution in data streams: an integral framework
IET conference proceedings.·2025
A review on relevant failure modes in electric machines
IET conference proceedings.·2025
Gear fault severity classification using acoustic emission peaks and Poincaré plots
IET conference proceedings.·2025· 1 cited
Attention-Based Multisignal Representation of High-Resolution Time Series: A Fault Detection Method for Industrial Machinery
IEEE Transactions on Industrial Electronics·2025· 2 cited
One-Class Domain-Generalized Anomaly Detection for Mechanical Stationary and Non-Stationary Time-Series Signals Via a One-Class Adversarial Contrastive Framework
SSRN Electronic Journal·2025Open Access
One-Class Transformer-Based Feature Disentanglement with Clustering-Driven Semisupervised Learning for the Fault Diagnosis of Reciprocating Machinery
SSRN Electronic Journal·2025Open Access
Fault Diagnosis in Hybrid-Fiber Coaxial Networks Using Sliding Window-Based Features
2024
Comparative Analysis of Autoencoder and Contrastive One-Class Anomaly Detection in Reciprocating Compressors
2024
Evaluation of Hand-Crafted Feature Extraction for Fault Diagnosis in Rotating Machinery: A Survey
Sensors·2024· 14 citedOpen Access
A simple yet realistic integrated dynamical modeling of an induction motor and one-stage spur gearbox system with broken tooth
Mechanism and Machine Theory·2024· 5 cited
Fault Diagnosis Generalization Improvement Through Contrastive Learning for a Multistage Centrifugal Pump
IEEE Transactions on Reliability·2024· 5 cited
Gearbox faults severity classification using Poincaré plots of acoustic emission signals
Applied Acoustics·2024· 12 citedOpen Access
Improved Mel Frequency Cepstral Coefficients for Compressors and Pumps Fault Diagnosis with Deep Learning Models
Applied Sciences·2024· 11 citedOpen Access
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Frequent Co-authors

René–Vinicio Sánchez(42), Diego Cabrera(40), Chuan Li(28), José Valente de Oliveira(15), Grover Zurita(13), Fannia Pacheco(12), Fernando Sancho(9), Rafael E. Vásquez(8), Jean-Carlo Macancela(8), José Aguilar(8), Pablo Lucero(7), Jianyu Long(4), Rubén Medina(4), Francisco Hidrobo(3), Edgar Estupiñán(3), Mariano Artés(2), Shaohui Zhang(2), Juan Terán(2), Rodrigo de Paula Monteiro(2), Carmelo J. A. Bastos-Filho(2)