PHME22
Unione Industriale Torino
2022-07-06 09:00:00
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  • Home
  • Management
  • Program
    • Mobile app
    • Proceedings 2022
    • Preliminary contents
    • Program
      • Program at-a-glance
      • Short Courses
      • Doctoral Symposium
      • Paper Sessions
      • Special sessions
      • Tutorials
      • Panel sessions
    • Keynote speakers
    • PHME22 Technology Demo Summary
    • Instructions to authors
    • Submit your full paper
  • DC
    • Data Challenge
    • DC registration form
    • Your profile DC
  • And the winners are…
  • Sponsoring
    • Sponsors
    • Stratio
    • Become a sponsor
  • Venue
    • Recommendations about Covid
    • Access
    • Your destination
    • Accommodation
    • Gala Dinner
    • Social program
  • Contacts

Paper Sessions

Click on the schedule for more details.

Wednesday, July 6th – Union Industriali

Sala Giovanni Agnelli
11:00 – 12:30
Link
Paper 1A: Structural health management/ Vibrations analysis for PHM Part 1

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

13:30 – 15:00
Link
Tutorial: Machine learning methods
15:30 – 17:00
Link
Paper 2A: PHM for Automotive, Rail, Marine, and Energy Part 1

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

Sala Piemonte
11:00 – 12:30
Link
Paper 1B: Special Session: ADEPT Part 1

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

13:30 – 15:00
Link
Paper 2B: PHM Design and Validation

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

15:30 – 17:00
Link
Panel session 1: Diversity and mentorship in the PHM community
Sala Torino
11:00 – 12:30
Link
Paper 1C: Statistics and Machine Learning in PHM

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

13:30 – 15:00
Link
Paper 2C: PHM in Wind Turbines

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

15:30 – 17:00
Link
Paper 3C: Prognostics Development

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

Sala Giovanni Agnelli
09:00 – 10:30
Link
Paper 3A: Special Session: Inducing physics and domain expert knowledge in deep learning algorithms for PHM applications Part 1

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

11:00 – 12:30
Link
Paper 4A: Structural health management/ Vibrations analysis for PHM Part 2

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

15:30 – 17:00
Link
Paper 5A: PHM for Manufacturing (Production planning and Control)/ Industries

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

Sala Piemonte
09:00 – 10:30
Link
Tutorial 1: Advanced RNN for time series
11:00 – 12:30
Link
Panel session 2: PHM for batteries
15:30 – 17:00
Link
Paper 3B: Special Session: Inducing physics and domain expert knowledge in deep learning algorithms for PHM applications Part 2

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

Sala Torino
09:00 – 10:30
Link
Paper 4C: PHM for electronics and electrical engineering systems and plants

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

11:00 – 12:30
Link
Paper 5C: PHM Solutions

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

13:30 – 15:00
Link
Panel session 3: PHM in Transportation

Friday, July 8th – Union Industriali

Sala Giovanni Agnelli
09:00 – 10:30
Link
Paper 6A: PHM for Automotive, Rail, Marine, and Energy Part 2

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

11:00 – 12:30
Link
Paper 7A: Special Session: ADEPT Part 2

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

13:30 – 15:00
Link
Panel session 4: Standards and Regulations- Affecting PHM
Sala Piemonte
09:00 – 10:30
Link
Paper 4B: Autoencoders for PHM Applications

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

11:00 – 12:30
Link
Paper 5B: Uncertainty in PHM Design

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

13:30 – 15:00
Link
Paper 6B: PHM Development

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

Sala Torino
09:00 – 10:30
Link
Tutorial 3: Clinical ML research
11:00 – 12:30
Link
Paper 6C: PHM at the Component/Sub-system/System level

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

13:30 – 15:00
Link
Paper 7C: Data Challenge Paper Session
Secretary PHME22

For any request, please contact:

   +33 (0)2 47 27 33 30
   secretary[at]phmeurope.org
Key dates

Abstracts submission extended deadline: February 14th, 2022
Paper and poster submissions due: April 3rd, 2022
Doctoral Symposium submission deadline: April 15th, 2022
Paper review feedback: May 2nd, 2022
Final paper or poster due: May 16th, 2022
Final camera-ready papers due: June 20th, 2022

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