Click on the schedule for more details.
Wednesday, July 6th – Union Industriali
Chaired by Jeff Bird
7131 Autonomous Bearing Tone Tracking Algorithm – SOL Alon, Ben Gurion University of the Negev
6496 An Analysis of Vibrations and Currents for Broken Rotor Bar Detection in Three-phase Induction Motors – TAGHIYARRENANI Zahra, Halmstad University
6402 Data Driven Seal Wear Classifications using Acoustic Emissions and Artificial Neural Networks – NOORI Nadia. S., The University of Agder
Chaired by Bin Zhang
6890 A Case-study Led Investigation of Explainable AI (XAI) to Support Deployment of Prognostics in the Nuclear Industry – AMIN Omnia, University of Strathclyde
6975 iVRIDA: Intelligent Vehicle Running Instability Detection Algorithm for high-speed rail vehicles using sensor fusion and deep learning methods – A pilot study – KULKARNI Rohan, KTH Royal Institute of Technology, Sweden
7104 Data-Driven Fault Detection for Transmitter in Logging-While-Drilling Tool – SOBCZAK-ORAMUS Karolina, Schlumberger
Chaired by Slawomir Nowaczyk
6877 Noise-robust representation for fault identification with limited data via data augmentation – TAGHIYARRENANI Zahra, Halmstad University
7014 Cost-effectiveness analysis of health monitoring sensors based on prediction performance – PARK Hyung Jun, Korea Aerospace University
6930 Domain adaptation in predicting turbocharger failures using vehicle sensor measurements – RAHAT Mahmoud, Halmstad University
Chaired by Piero Baraldi
6995 Experimental validation of multi-fidelity models for prognostics of electromechanical actuators – DALLA VEDOVA Matteo Davide Lorenzo, Politecnico di Torino
6933 Online Flow Estimation for Condition Monitoring of Pumps in Aircraft Hydraulics – BISCHOF Phillip, Hamburg University of Technology
6914 A Design Methodology for Robust Model-Based Fault Diagnosis Schemes and its Application to an Aircraft Hydraulic Power Package – MARDT Felix, Hamburg University of Technology
Chaired by Steve King
6688 Unscented Kalman Filtering for Prognostics Under Varying Operational and Environmental Conditions – Luc Keizers, University of Twente
7159 Towards data reliability based on triple redundancy and online outlier detection – POUPRY Sylvain, Laboratoire Génie de Production, ENIT Toulouse INP
6235 Approximate Bayesian Computation as a New Tool for Partial Discharge Analysis of Partial Discharge Data – HENCKEN Kai, ABB Schweiz AG, Corporate Research
Chaired by Lilach Goren
7127 Improved time-frequency representation for non-stationary vibrations of slow rotating machinery – PEETERS Cedric, Vrije Universiteit Brussel
6433 Fault detection in a wind turbine hydraulic pitch system using Deep Autoencoder extracted features – KORKOS Panagiotis, Tampere University
6410 Prediction of Wind Turbine Performance Degradation with LSTM Recurrent Neural Networks – S MATHEW Manuel, The University of Agder
Chaired by Gabriel Michau
7086 Unsupervised Prognostics based on Deep Virtual Health Index Prediction – DE BEAULIEU Hervé Martin, CRAN, UMR 7039
6276 Remaining-Useful-Life prognostics for opportunistic grouping of maintenance of landing gear brakes for a fleet of aircraft – LEE Juseong, Delft University of Technology
6382 A Health Index Framework for Condition Monitoring and Health Prediction – KAMTSIURIS Alexander, German Aerospace Center (DLR)
Thursday, July 7th – Union Industriali
Chaired by Manuel Aria Chao
7132 Physics-informed lightweight Temporal Convolution Networks for fault prognostics associated to bearing stiffness degradation – DENG Wei Kun, LGP, ENIT, Toulouse INP
7019 On the Integration of Fundamental Knowledge about Degradation Processes into Data-Driven Diagnostics and Prognostics Using Theory-Guided Data Science – HAGMEYER Simon, Esslingen University of Applied Sciences
6966 Physics Informed Neural Network Model for Health Monitoring of an Air Preheater – JADHAV Vishal, TCS Research, Tata Consultancy Services Limited
Chaired by Jacob Bortman
6902 Severity estimation of faulty bearings based on strain signals from physical models and FBG measurements – OHANA Ravit, Ben-Gurion University of the Negev
8212 Experimental assessment of a broadband vibration and acoustic emission sensor for rotorcraft transmission monitoring – RUIZ-CARCEL Cristobal, Cranfield University
6398 Forecasting piston rod seal failure based on acoustic emission features in ARIMA model – SHANBHAG Vignesh. V., Norwegian Research Centre AS
Chaired by Dave Larsen
6307 Machine Learning Methods for Health-Index Prediction in Coating Chambers – HEISTRACHER Clemens, AIT Austrian Institute of Technology
7017 Optical Cutting Tool Wear Monitoring by 3D Geometry Reconstruction – SALAETS Rob, Flanders Make
7039 Processing of Condition Monitoring Annotations with BERT and Technical Language Substitution: A Case Study – EKSTRÖM Karl, Luleå University of Technology
Chaired by Manuel Aria Chao
6363 Hybrid Fault Prognostics for Nuclear Applications: Addressing Rotating Plant Model Uncertainty – BLAIR Jennifer, University of Strathclyde
6422 Expert Knowledge Induced Logic Tensor Networks: A Bearing Fault Diagnosis Case Study – RADTKE Maximilian-Peter, Technische Hochschule Ingolstadt
7004 Domain knowledge informed unsupervised anomaly detection for rolling element bearings – MARX Douw, KU Leuven
Chaired to be confirmed
6374 State-of-health and lifetime prediction of lithium-ion batteries using self-learning incremental models – MURILO Camargos, Lancaster University
7041 An Approach to Condition Monitoring of BLDC Motors with experimentally validated Simulation Data – WEIGERT Max, Technical University of Darmstadt
6903 Data-driven Prognostics based on Evolving Fuzzy Degradation Models for Power Semiconductor Devices – KHOURY Boutrous, Technical University of Catalonia (UPC), Spain
Chaired by Ian Jennions
6871 Design and validation of scalable PHM solutions for aerospace on-board systems – FEDERICI Fabio, Collins Aerospace
7096 Toward Runtime Assurance of Complex Systems with AI Components – HE Yuning, NASA Ames Research Center
6322 Weighted-QMIX-based optimization for maintenance decision-making of multi-component systems – NGUYEN Van-Thai, University of Lorraine, CRAN laboratory, France
Friday, July 8th – Union Industriali
Chaired by Vincent Cheriere
6980 Automating Critical Surface Identification and Damage Detection Using Deep Learning and Perspective Projection Methods – VADISALA Gautam Kumar, Schlumberger India Pvt Ltd.
6988 Tool Compatibility Index: An Indicator Enables Better Tool Selection for Drilling Tools – KANG Jinlong, Schlumberger
6038 Wrong Injection Detection in a Small Diesel Engine, a Machine Learning Approach – DANTI Piero, YANMAR R D EUROPE SRL
Chaired by Rune Prytz
7038 Experiences of a Digital Twin Based Predictive Maintenance Solution for Belt Conveyor Systems – AL-KAHWATI Kammal, Predge
7095 Filtering misleading repair log labels to improve predictive maintenance models – DEL MORAL Pablo, Halmstad University
6231 State of Health Forecasting of Heterogeneous Lithium-ion Battery Types and Operation Enabled by Transfer Learning – VON BÜLOW Friedrich, Volkswagen AG
Chaired by Gabriel Michau
6883 Joint Autoencoder-Classifier Model for Malfunction Identification and Classification on Marine Diesel Engine Diagnostics Data – INCE Kursat, Gebze Technical University
7008 Autoencoder based Anomaly Detection and Explained Fault Localization in Industrial Cooling Systems – HOLLY Stephanie, (1) Siemens Technology, (2) TU Vienna
7193 Long Horizon Anomaly Prediction in Multivariate Time Series with Causal Autoencoders – ASRES Mulugeta Weldezgina, Universitetet i Agder
Chaired by Khan Nguyen
6948 Uncertainty Informed Anomaly Scores with Deep Learning: Robust Fault Detection with Limited Data – ZGRAGGEN Jannik, Zurich University of Applied Sciences
6443 Certainty Groups: A practical approach to distinguish confidence levels in neural networks – LODES Lukas, Technische Hochschule Ingolstadt
6287 An End-to-End Pipeline for Uncertainty Quantification and Remaining Useful Life Estimation: An Application on Aircraft Engines – KEFALAS Marios, Leiden University
Chaired by Associate Prof Piero Baraldi
6259 Sensor fault/failure correction and missing sensor replacement for enhanced real-time gas turbine diagnostics – FENTAYE Amare, Future Energy Center, Mälardalen University, Sweden
6236 Novel Graph-Based Features for Bearing Fault Diagnosis: Two Aspects of Time Series Structure – LEE Sangho, Dongguk University, Seoul
6367 Helicopter Bolt Looseness Monitoring using Vibrations and Machine Learning – MAKIENKO Igor, RSL Electronics LTD
Chaired by Dr Steve King
7031 Prognosis of wear progression in electrical brakes for aeronautical applications – DE MARTIN Andrea Politecnico di Torino
7037 Failures Mapping for Aircraft Electrical Actuation System Health Management – WANG Chengwei, Cranfield University, UK
6334 Novel Metrics to Evaluate Probabilistic Remaining Useful Life Prognostics with Applications to Turbofan Engines – DE PATER Ingeborg, Delft University of Technology