Paper Sessions

Chaired by Jeff Bird

7131 Autonomous Bearing Tone Tracking Algorithm Based on Pattern Recognition – 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 – 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 Neil Eklund

7086 Unsupervised remaining useful life prediction based on long-range prediction of multivariate health index – 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)

Chaired by Manuel Ari Chao

7132 Physics-informed temporal convolutional networks for fault prognostics concerning stiffness degradation of bearing – 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 and Maintenance Optimization 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 Improving BERT Representations of Condition Monitoring Annotations with Technical Language Substitution – 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 Bearing Fault Diagnosis Based on Logic Tensor Networks and Expert Knowledge – RADTKE Maximilian-Peter, Technische Hochschule Ingolstadt

7004 Domain knowledge informed unsupervised anomaly detection for rolling element bearings – MARX Douw, KU Leuven

Chaired by Kai Hencken

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 Multi-agent deep reinforcement learning for maintenance decision optimization of multi-component systems with multiple dependencies – NGUYEN Van-Thai, University of Lorraine, CRAN laboratory, France

Chaired by Vincent Cheriere

6980 Automatic Critical Surface Identification and Damage Detection – 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 Forecasting the State of Health of Lithium-ion Batteries with Transfer Learning show cased at different laboratory data sets – 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 for deep-learning-based 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 Uncertainty Quantification and Remaining Useful Life Estimation of Aircraft Engines – KEFALAS Marios, Leiden University

Chaired by (tbc)

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 (tbc)

7031 Prognosis of wear progression in electrical brakes for aeronautical applications – DE MARTIN Andrea Politecnico di Torino

7037 A Review of Failure Characteristics in More Electric Aircraft Flight Control Actuation System – 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