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Maintenance Strategies for Sewer Pipes with Multi-State Degradation and Deep Reinforcement Learning

Lisandro Arturo Jimenez-Roa, Thiago D. Simão, Zaharah Bukhsh, Tiedo Tinga, Hajo Molegraaf, Nils Jansen, Marielle Stoelinga

Abstract 725 | PDF Downloads 321

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Page 14

Integrating Network Theory and SHAP Analysis for Enhanced RUL Prediction in Aeronautics

Yazan Alomari, Marcia Baptista, Mátyás Andó

Abstract 307 | PDF Downloads 122

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Page 15

Defect Data Augmentation Method for Robust Image-based Product Inspection

Youngwoon Choi, Hyunseok Lee, Sang Won Lee

Abstract 276 | PDF Downloads 263

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Page 8

Data Scarcity in Fault Detection for Solar Tracking Systems: the Power of Physics-Informed Artificial Intelligence

Mila Francesca Lüscher, Jannik Zgraggen, Yuyan Guo, Antonio Notaristefano, Lilach Goren Huber

Abstract 296 | PDF Downloads 195

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Page 8

A data-driven risk assessment approach for electronic boards used in oil well drilling operations

Delia-Elena Dumitru, Jinlong Kang, Alejandro Olid-Gonzalez, Ahmed Mosallam

Abstract 274 | PDF Downloads 184

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Page 8

SurvLoss: A New Survival Loss Function for Neural Networks to Process Censored Data

Mahmoud Rahat, Zahra Kharazian

Abstract 837 | PDF Downloads 518

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Page 7

Development of Fault Diagnosis Model based on Semi-supervised Autoencoder

Yongjae Jeon, Kyumin Kim, Yelim Lee, Byeong Kwon Kang, Sang Won Lee

Abstract 204 | PDF Downloads 128

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Page 7

Virtual Sensor for Real-Time Bearing Load Prediction Using Heterogeneous Temporal Graph Neural Networks

Mengjie Zhao, Cees Taal, Stephan Baggerohr, Olga Fink

Abstract 591 | PDF Downloads 256

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Page 8

A Flexible Methodology for Uncertainty-Quantified Monitoring of Abrasive Wear in Heavy Machinery Using Neural Networks and Phenomenology-Based Feature Engineering

Thbate, Marcos E. Orchard, Nicolás Tagle

Abstract 292 | PDF Downloads 206

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Page 9

Influence of Reducing the Load Level of Mission Profiles on the Remaining Useful Life of a TO220 Analyzed with a Surrogate Model

Tobias Daniel Horn, Jan Albrecht, Sven Rzepka

Abstract 251 | PDF Downloads 158

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Page 6

Prognostics of Remaining Useful Life for Aviation Structures Considering Imperfect Repairs

Mariana Salinas, Nick Eleftheroglou, Dimitrios Zarouchas

Abstract 242 | PDF Downloads 171

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A Novel Methodology for Health Assessment in Printed Circuit Boards

John Taco, Prayag Gore, Takanobu Minami, Pradeep Kundu, Alexander Suer, Jay Lee

Abstract 776 | PDF Downloads 451

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Page 556-562

Automating Critical Surface Identification and Damage Detection Using Deep Learning and Perspective Projection Methods

Gautam Kumar Vadisala, Anurag Singh Rawat, Abhishek Dubey, Gareth Yen Ket Chin, Fabio Abreu

Abstract 502 | PDF Downloads 275

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Page 480-489

Uncertainty Informed Anomaly Scores with Deep Learning: Robust Fault Detection with Limited Data

Jannik Zgraggen, Gianmarco Pizza, Lilach Goren Huber

Abstract 667 | PDF Downloads 609

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Page 530-540

Certainty Groups: A Practical Approach to Distinguish Confidence Levels in Neural Networks

Lukas Lodes, Alexander Schiendorfer

Abstract 500 | PDF Downloads 343

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Page 294-305

An End-to-End Pipeline for Uncertainty Quantification and Remaining Useful Life Estimation: An Application on Aircraft Engines

Marios Kefalas, Bas van Stein, Mitra Baratchi, Asteris Apostolidis, Thomas Baeck

Abstract 2408 | PDF Downloads 554

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Page 245-260

Application of Machine Learning Methods to Predict the Quality of Electric Circuit Boards of a Production Line

Immo Schmidt, Lorenz Dingeldein, David Hünemohr, Henrik Simon, Max Weigert

Abstract 206 | PDF Downloads 137

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Page 550-555

A Novel Methodology for Health Assessment in Printed Circuit Boards

johntaco, Prayag Gore, Takanobu Minami, Pradeep Kundu, Jay Lee

Abstract 228 | PDF Downloads 144

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Page 556-562

Contribution to the Design and Implementation of a Reflexive Cyber-Physical System: Application to Air Quality Prediction in the Vallees des Gaves

Sylvain Poupry, Cedrick Beler, Kamal Medjaher

Abstract 360 | PDF Downloads 224

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Page 590-593

Rule-based Diagnostics of a Production Line

Osarenren Kennedy Aimiyekagbon, Lars Muth, Meike Wohlleben, Amelie Bender, Walter Sextro

Abstract 566 | PDF Downloads 530

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Page 10

Divide, Propagate and Conquer: Splitting a Complex Diagnosis Problem for Early Detection of Faults in a Manufacturing Production Line

Kerman López de Calle - Etxabe, Meritxell Gómez - Omella, Eider Garate - Perez

Abstract 596 | PDF Downloads 562

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Page 9

Data-Driven Fault Detection Method for Electronic Boards in Intelligent Remote Dual-Valve System

Saransh Bhatnagar, Mathilde Lemanissier Cassou, Zeina Al Masry, Ahmed Mosallam

Abstract 759 | PDF Downloads 459

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Page 7

A Semantic Similarity Model to Compare Heterogeneous Data Sources to Augment Engineering Data with New Failure modes in Automotive Industry

Dnyanesh Rajpathak, John Cafeo

Abstract 299 | PDF Downloads 315

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Page 10

Transfer Learning Approaches for Wind Turbine Fault Detection using Deep Learning

Jannik Zgraggen, Markus Ulmer, Eskil Jarlskog, Gianmarco Pizza, Lilach Goren Huber

Abstract 813 | PDF Downloads 542

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Page 12

INDUSTRY 4.0: Predictive Intelligent Maintenance for Production Equipment

Susana Ferreiro, Egoitz Konde, Santiago Fernández, Agustín Prado

Abstract 993 | PDF Downloads 650

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