Vol. 7 No. 1 (2022): Proceedings of the European Conference of the PHM Society 2022

Edited by:

Phuc Do

Gabriel Michau

Cordelia Ezhilarasu

ISBN: 978-1-936263-36-3

Published: 2022-06-29

Proceedings Front Matter

PHME 2021 Management Team, Publisher Information and Table of Contents

Phuc Do
Abstract 25 | PDF Downloads 18 | DOI https://doi.org/10.36001/phme.2022.v7i1.3374
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PHME 2022 Management Team, Publisher Information and Table of Contents

Phuc Do
Abstract 344 | PDF Downloads 414 | DOI https://doi.org/10.36001/phme.2022.v7i1.3369
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Technical Papers

Experiences of a Digital Twin Based Predictive Maintenance Solution for Belt Conveyor Systems

Kammal Al-Kahwati, Wolfgang Birk, Evert Flygel Nilsfors, Rune Nilsen
Abstract 976 | PDF Downloads 1372 | DOI https://doi.org/10.36001/phme.2022.v7i1.3355
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Page 1-8

A Case-study Led Investigation of Explainable AI (XAI) to Support Deployment of Prognostics in the industry

Omnia Amin, Blair Brown, Bruce Stephen, Stephen McArthur
Abstract 539 | PDF Downloads 446 | DOI https://doi.org/10.36001/phme.2022.v7i1.3336
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Page 9-20

Long Horizon Anomaly Prediction in Multivariate Time Series with Causal Autoencoders

Mulugeta Weldezgina Asres, Grace Cummings, Aleko Khukhunaishvili, Pavel Parygin, Seth I. Cooper, David Yu, Jay Dittmann, Christian W. Omlin
Abstract 518 | PDF Downloads 427 | DOI https://doi.org/10.36001/phme.2022.v7i1.3367
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Page 21-31

Experimental Validation of Multi-fidelity Models for Prognostics of Electromechanical Actuators

Leonardo Baldo, Pier Carlo Berri, Matteo D. L. Dalla Vedova, Paolo Maggiore
Abstract 335 | PDF Downloads 302 | DOI https://doi.org/10.36001/phme.2022.v7i1.3347
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Page 32-42

An Analysis of Vibrations and Currents for Broken Rotor Bar Detection in Three-phase Induction Motors

Zahra Taghiyarrenani, Amirhossein Berenji
Abstract 408 | PDF Downloads 541 | DOI https://doi.org/10.36001/phme.2022.v7i1.3332
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Page 43-48

Online Flow Estimation for Condition Monitoring of Pumps in Aircraft Hydraulics

Phillip Bischof, Frank Thielecke, Dirk Metzler
Abstract 323 | PDF Downloads 307 | DOI https://doi.org/10.36001/phme.2022.v7i1.3341
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Page 49-57

Hybrid Fault Prognostics for Nuclear Applications: Addressing Rotating Plant Model Uncertainty

Jennifer Blair, Bruce Stephen, Blair Brown, Alistair Forbes, Stephen Mcarthur
Abstract 284 | PDF Downloads 230 | DOI https://doi.org/10.36001/phme.2022.v7i1.3321
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Page 58-67

Data-driven Prognostics based on Evolving Fuzzy Degradation Models for Power Semiconductor Devices

Khoury Boutrous, Iury Bessa, Vicenç Puig, Fatiha Nejjari, Reinaldo M. Palhares
Abstract 415 | PDF Downloads 307 | DOI https://doi.org/10.36001/phme.2022.v7i1.3338
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Page 68-77

State of Health and Lifetime Prediction of Lithium-ion Batteries Using Self-learning Incremental Models

Murilo Camargos, Plamen Angelov
Abstract 424 | PDF Downloads 407 | DOI https://doi.org/10.36001/phme.2022.v7i1.3323
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Page 78-86

Wrong Injection Detection in a Small Diesel Engine, a Machine Learning Approach

Piero Danti, Ryota Minamino, Giovanni Vichi
Abstract 301 | PDF Downloads 276 | DOI https://doi.org/10.36001/phme.2022.v7i1.3311
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Page 87-95

Novel Metrics to Evaluate Probabilistic Remaining Useful Life Prognostics with Applications to Turbofan Engines

Ingeborg de Pater, Mihaela Mitici
Abstract 498 | PDF Downloads 595 | DOI https://doi.org/10.36001/phme.2022.v7i1.3320
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Page 96-109

Filtering Misleading Repair Log Labels to Improve Predictive Maintenance Models

Pablo del Moral, Sławomir Nowaczyk, Sepideh Pashami
Abstract 429 | PDF Downloads 245 | DOI https://doi.org/10.36001/phme.2022.v7i1.3360
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Page 110-117

Physics-informed Lightweight Temporal Convolution Networks for Fault Prognostics Associated to Bearing Stiffness Degradation

Weikun Deng, Khanh T. P. Nguyen, Christian Gogu, Jérôme Morio, Kamal Medjaher
Abstract 682 | PDF Downloads 468 | DOI https://doi.org/10.36001/phme.2022.v7i1.3365
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Page 118-125

Design and validation of scalable PHM solutions for aerospace onboard systems

Fabio Federici, Cecilia Tonelli, Mathieu Le Cam, Marcello Torchio, David Larsen
Abstract 7971 | PDF Downloads 16811 | DOI https://doi.org/10.36001/phme.2022.v7i1.3333
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Page 126-135

Sensor Fault/Failure Correction and Missing Sensor Replacement for Enhanced Real-time Gas Turbine Diagnostics

Amare Fentaye, Valentina Zaccaria, Konstantinos Kyprianidis
Abstract 305 | PDF Downloads 348 | DOI https://doi.org/10.36001/phme.2022.v7i1.3315
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Page 136-145

Helicopter Bolt Loosening Monitoring using Vibrations and Machine Learning

Eli Gildish, Michael Grebshtein, Yehudit Aperstein, Alex Kushnirski, Igor Makienko
Abstract 517 | PDF Downloads 380 | DOI https://doi.org/10.36001/phme.2022.v7i1.3322
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Page 146-155

On the Integration of Fundamental Knowledge about Degradation Processes into Data-Driven Diagnostics and Prognostics Using Theory-Guided Data Science

Simon Hagmeyer, Peter Zeiler, Marco F. Huber
Abstract 505 | PDF Downloads 474 | DOI https://doi.org/10.36001/phme.2022.v7i1.3352
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Page 156-165

Toward Runtime Assurance of Complex Systems with AI Components

Yuning He, Johann Schumann, Huafeng Yu
Abstract 301 | PDF Downloads 351 | DOI https://doi.org/10.36001/phme.2022.v7i1.3361
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Page 166-174

Machine Learning Methods for Health-Index Prediction in Coating Chambers

Clemens Heistracher, Anahid Jalali, Jurgen Schneeweiss, Klaudia Kovacs, Catherine Laflamme, Bernhard Haslhofer
Abstract 212 | PDF Downloads 507 | DOI https://doi.org/10.36001/phme.2022.v7i1.3318
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Page 175-181

Approximate Bayesian Computation as a New Tool for Partial Discharge Analysis of Partial Discharge Data

Kai Hencken, Elsi-Mari Borrelli, Daniele Ceccarelli, Andrej Krivda
Abstract 282 | PDF Downloads 284 | DOI https://doi.org/10.36001/phme.2022.v7i1.3313
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Page 182-192

Unsupervised Prognostics based on Deep Virtual Health Index Prediction

Martin Hervé de Beaulieu, Mayank Shekhar Jha, Hugues Garnier, Farid Cerbah
Abstract 441 | PDF Downloads 389 | DOI https://doi.org/10.36001/phme.2022.v7i1.3359
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Page 193-199

Autoencoder Based Anomaly Detection and Explained Fault Localization in Industrial Cooling Systems

Stephanie Holly, Robin Heel, Denis Katic, Leopold Schoeffl, Andreas Stiftinger, Peter Holzner, Thomas Kaufmann, Bernhard Haslhofer, Daniel Schall, Clemens Heitzinger, Jana Kemnitz
Abstract 426 | PDF Downloads 357 | DOI https://doi.org/10.36001/phme.2022.v7i1.3349
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Page 200-210

Joint Autoencoder-Classifier Model for Malfunction Identification and Classification on Marine Diesel Engine Diagnostics Data

Kurçat Ince, Gazi Koçak, Yakup Genc
Abstract 301 | PDF Downloads 339 | DOI https://doi.org/10.36001/phme.2022.v7i1.3335
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Page 211-218

Physics Informed Neural Network for Health Monitoring of an Air Preheater

Vishal Jadhav, Anirudh Deodhar, Ashit Gupta, Venkataramana Runkana
Abstract 1092 | PDF Downloads 751 | DOI https://doi.org/10.36001/phme.2022.v7i1.3343
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Page 219-230

A Health Index Framework for Condition Monitoring and Health Prediction

Alexander Athanasios Kamtsiuris, Florian Raddatz, Gerko Wende
Abstract 632 | PDF Downloads 565 | DOI https://doi.org/10.36001/phme.2022.v7i1.3324
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Page 231-238

Tool Compatibility Index: Indicator Enables Improved Tool Selection for Well Construction

Jinlong Kang, Christophe Varnier, Ahmed Mosallam, Noureddine Zerhouni, Fares Ben Youssef, Nannan Shen
Abstract 230 | PDF Downloads 200 | DOI https://doi.org/10.36001/phme.2022.v7i1.3346
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Page 239-244

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 2042 | PDF Downloads 377 | DOI https://doi.org/10.36001/phme.2022.v7i1.3317
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Page 245-260

Fault Detection in a Wind Turbine Hydraulic Pitch System Using Deep Autoencoder Extracted Features

Panagiotis Korkos, Jaakko Kleemola, Matti Linjama, Arto Lehtovaara
Abstract 292 | PDF Downloads 222 | DOI https://doi.org/10.36001/phme.2022.v7i1.3330
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Page 261-268

iVRIDA: intelligent Vehicle Running Instability Detection Algorithm for High-speed Rail Vehicles using Temporal Convolution Network – A Pilot Study

Rohan R Kulkarni, Rocco Libero Giossi, Prapanpong Damsongsaeng, Alireza Qazizadeh, Mats Berg
Abstract 321 | PDF Downloads 262 | DOI https://doi.org/10.36001/phme.2022.v7i1.3344
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Page 269-277

Remaining-Useful-Life prognostics for opportunistic grouping of maintenance of landing gear brakes for a fleet of aircraft

Juseong Lee, Ingeborg de Pater, Stan Boekweit, Mihaela Mitici
Abstract 749 | PDF Downloads 495 | DOI https://doi.org/10.36001/phme.2022.v7i1.3316
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Page 278-285

Novel Graph-Based Features for Bearing Fault Diagnosis: Two Aspects of Time Series Structure

Sangho Lee, Youngdoo Son, Chihyeon Choi
Abstract 283 | PDF Downloads 207 | DOI https://doi.org/10.36001/phme.2022.v7i1.3314
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Page 286-293

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

Lukas Lodes, Alexander Schiendorfer
Abstract 342 | PDF Downloads 220 | DOI https://doi.org/10.36001/phme.2022.v7i1.3331
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Page 294-305

Processing of Condition Monitoring Annotations with BERT and Technical Language Substitution: A Case Study

Karl Lowenmark, Cees Taal, Joakim Nivre, Marcus Liwicki, Fredrik Sandin
Abstract 474 | PDF Downloads 279 | DOI https://doi.org/10.36001/phme.2022.v7i1.3356
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Page 306-314

A Design Methodology for Robust Model-Based Fault Diagnosis Schemes and its Application to an Aircraft Hydraulic Power Package

Felix Mardt, Phillip Bischof, Frank Thielecke
Abstract 171 | PDF Downloads 212 | DOI https://doi.org/10.36001/phme.2022.v7i1.3339
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Page 315-328

Prognosis of Wear Progression in Electrical Brakes for Aeronautical Applications

Andrea De Martin, Giovanni Jacazio, Vincenzo Parisi, Massimo Sorli
Abstract 245 | PDF Downloads 228 | DOI https://doi.org/10.36001/phme.2022.v7i1.3353
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Page 329-337

Domain Knowledge Informed Unsupervised Fault Detection for Rolling Element Bearings

Douw Marx, Konstantinos Gryllias
Abstract 357 | PDF Downloads 269 | DOI https://doi.org/10.36001/phme.2022.v7i1.3348
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Page 338-350

Estimation of Wind Turbine Performance Degradation with Deep Neural Networks

Manuel S Mathew, Surya Teja Kandukuri, Christian W Omlin
Abstract 494 | PDF Downloads 2338 | DOI https://doi.org/10.36001/phme.2022.v7i1.3328
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Page 351-359

Weighted-QMIX-based Optimization for Maintenance Decision-making of Multi-component Systems

Van-Thai Nguyen, Phuc Do, Alexandre Voisin, Benoit Iung
Abstract 325 | PDF Downloads 248 | DOI https://doi.org/10.36001/phme.2022.v7i1.3319
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Page 360-367

Data Driven Seal Wear Classifications using Acoustic Emissions and Artificial Neural Networks

Nadia. S. Noori, Vignesh. V. Shanbhag, Surya. T. Kandukuri, Rune Schlanbusch
Abstract 243 | PDF Downloads 170 | DOI https://doi.org/10.36001/phme.2022.v7i1.3327
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Page 368-375

Severity Estimation of Faulty Bearings Based on Strain Signals From Physical Models and FBG Measurements

Ravit Ohana, Renata Klein, Jacob Bortman
Abstract 223 | PDF Downloads 192 | DOI https://doi.org/10.36001/phme.2022.v7i1.3337
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Page 376-383

A Comparative Study of Health Monitoring Sensors based on Prognostic Performance

Hyung Jun Park, Nam Ho Kim, Joo-Ho Choi
Abstract 1420 | PDF Downloads 179 | DOI https://doi.org/10.36001/phme.2022.v7i1.3350
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Page 384-391

Forecasting Piston Rod Seal Failure Based on Acoustic Emission Features in ARIMA Model

Jørgen. F. Pedersen, Rune Schlanbusch, Vignesh. V. Shanbhag
Abstract 239 | PDF Downloads 192 | DOI https://doi.org/10.36001/phme.2022.v7i1.3326
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Page 3392-400

Improved Time-Frequency Representation for Non-stationary Vibrations of Slow Rotating Machinery

Cédric Peeters, Andreas Jakobsson, Jérôme Antoni, Jan Helsen
Abstract 290 | PDF Downloads 301 | DOI https://doi.org/10.36001/phme.2022.v7i1.3363
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Page 401-409

Towards Data Reliability Based on Triple Redundancy and Online Outlier Detection

Sylvain Poupry, Cédrick Béler, Kamal Medjaher
Abstract 213 | PDF Downloads 156 | DOI https://doi.org/10.36001/phme.2022.v7i1.3366
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Page 410-420

Expert Knowledge Induced Logic Tensor Networks: A Bearing Fault Diagnosis Case Study

Maximilian-Peter Radtke, Jurgen Bock
Abstract 425 | PDF Downloads 354 | DOI https://doi.org/10.36001/phme.2022.v7i1.3329
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Page 421-431

Domain Adaptation in Predicting Turbocharger Failures Using Vehicle’s Sensor Measurements

Mahmoud Rahat, Peyman Sheikholharam Mashhadi, Sławomir Nowaczyk, Thorsteinn Rognvaldsson, Atabak Taheri, Ataollah Abbasi
Abstract 541 | PDF Downloads 317 | DOI https://doi.org/10.36001/phme.2022.v7i1.3340
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Page 432-439

Experimental Assessment of a Broadband Vibration and Acoustic Emission Sensor for Rotorcraft Transmission Monitoring

Cristobal Ruiz-Carcel, Andrew Starr, Arturo Francese
Abstract 213 | PDF Downloads 185 | DOI https://doi.org/10.36001/phme.2022.v7i1.3368
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Page 440-448

Optical Cutting Tool Wear Monitoring by 3D Geometry Reconstruction

Rob Salaets, Valentin Sturm, Ted Ooijevaar, Veronika Putz, Julia Mayer, Abdellatif Bey-Temsamani
Abstract 286 | PDF Downloads 232 | DOI https://doi.org/10.36001/phme.2022.v7i1.3351
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Page 449-457

Data-Driven Fault Detection for Transmitter in Logging-While-Drilling Tool

Karolina Sobczak-Oramus, Ahmed Mosallam, Caner Basci, Jinlong Kang
Abstract 331 | PDF Downloads 219 | DOI https://doi.org/10.36001/phme.2022.v7i1.3362
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Page 458-465

Autonomous Bearing Tone Tracking Algorithm

Alon Sol, Eyal Madar, Jacob Bortman, Renata Klein
Abstract 255 | PDF Downloads 161 | DOI https://doi.org/10.36001/phme.2022.v7i1.3364
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Page 466-472

Noise-Robust Representation for Fault Identification with Limited Data via Data Augmentation

Zahra Taghiyarrenani, Amirhossein Berenji
Abstract 202 | PDF Downloads 159 | DOI https://doi.org/10.36001/phme.2022.v7i1.3334
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Page 473-479

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 363 | PDF Downloads 191 | DOI https://doi.org/10.36001/phme.2022.v7i1.3345
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Page 480-489

State of Health Forecasting of Heterogeneous Lithium-ion Battery Types and Operation Enabled by Transfer Learning

Friedrich Von Bülow, Tobias Meisen
Abstract 481 | PDF Downloads 650 | DOI https://doi.org/10.36001/phme.2022.v7i1.3312
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Page 490-508

Failures Mapping for Aircraft Electrical Actuation System Health Management

Chengwei Wang, Ip-Shing Fan, Stephen King
Abstract 1508 | PDF Downloads 947 | DOI https://doi.org/10.36001/phme.2022.v7i1.3354
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Page 509-520

An Approach to Condition Monitoring of BLDC Motors with Experimentally Validated Simulation Data

Max Weigert
Abstract 248 | PDF Downloads 291 | DOI https://doi.org/10.36001/phme.2022.v7i1.3357
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Page 521-529

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

Jannik Zgraggen, Gianmarco Pizza, Lilach Goren Huber
Abstract 483 | PDF Downloads 466 | DOI https://doi.org/10.36001/phme.2022.v7i1.3342
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Page 530-540

Doctoral Symposium

Deep Learning Representation Pre-training for Industry 4.0

Alaaeddine Chaoub, Christophe Cerisara, Alexandre Voisin, Benoît Iung
Abstract 280 | PDF Downloads 233 | DOI https://doi.org/10.36001/phme.2022.v7i1.2784
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Page 571-573

Physics Informed Self Supervised Learning For Fault Diagnostics and Prognostics in the Context of Sparse and Noisy Data

Weikun Deng, Khanh T. P. Nguyen, Kamal Medjaher
Abstract 491 | PDF Downloads 404 | DOI https://doi.org/10.36001/phme.2022.v7i1.3298
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Page 574-576

A Novel Way to Apply Transfer Learning to Aircraft System Fault Diagnosis

Lilin Jia, Cordelia Mattuvarkuzhali Ezhilarasu, Ian Jennions
Abstract 1266 | PDF Downloads 237 | DOI https://doi.org/10.36001/phme.2022.v7i1.3299
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Page 577-579

The Application, Utility and Acceptability of Data Analytics in Safety Risk Management of Airline Operations

Washington Mhangami, Stephen King, David Barry
Abstract 959 | PDF Downloads 300 | DOI https://doi.org/10.36001/phme.2022.v7i1.3295
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Page 580-582

Diagnosis and Fault-Tolerant Control for a Multi-Engine Cluster of a Reusable Launcher with Sensor and Actuator Faults

Renato Murata, Louis Thioulouse, Julien Marzat, Helene Piet-Lahanier, Marco Galeotta, rancois Farago
Abstract 238 | PDF Downloads 294 | DOI https://doi.org/10.36001/phme.2022.v7i1.3296
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Page 583-585

Artificial-Intelligence-Based Maintenance Scheduling for Complex Systems with Multiple Dependencies

Van-Thai Nguyen, Phuc Do, Alexandre Voisin
Abstract 250 | PDF Downloads 289 | DOI https://doi.org/10.36001/phme.2022.v7i1.3294
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Page 586-589

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 229 | PDF Downloads 143 | DOI https://doi.org/10.36001/phme.2022.v7i1.3300
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Page 590-593

Combining Knowledge and Deep Learning for Prognostics and Health Management

Maximilian-Peter Radtke, Jürgen Bock
Abstract 385 | PDF Downloads 263 | DOI https://doi.org/10.36001/phme.2022.v7i1.3302
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Page 594-597

Data Challenge Winners

Prediction of Production Line Status for Printed Circuit Boards

Haichuan Tang, Yin Tian, Junyan Dai, Yuan Wang, Jianli Cong, Qi Liu, Xuejun Zhao, Yunxiao Fu
Abstract 19 | PDF Downloads 7 | DOI https://doi.org/10.36001/phme.2022.v7i1.3306
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Page 563-570

A Novel Methodology for Health Assessment in Printed Circuit Boards

johntaco, Prayag Gore, Takanobu Minami, Pradeep Kundu, Jay Lee
Abstract 25 | PDF Downloads 12 | DOI https://doi.org/10.36001/phme.2022.v7i1.3308
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Page 556-562

A Hierarchical XGBoost Early Detection Method for Quality and Productivity Improvement of Electronics Manufacturing Systems

Alexandre Gaffet , Nathalie Barbosa Roa, Pauline Ribot, Elodie Chanthery, Christophe Merle
Abstract 27 | PDF Downloads 8 | DOI https://doi.org/10.36001/phme.2022.v7i1.3305
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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 17 | PDF Downloads 9 | DOI https://doi.org/10.36001/phme.2022.v7i1.3309
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Page 550-555

A Hierarchical XGBoost Early Detection Method for Quality and Productivity Improvement of Electronics Manufacturing Systems

Alexandre Gaffet, Nathalie Barbosa Roa, Pauline Ribot, Elodie Chanthery, Christophe Merle
Abstract 276 | PDF Downloads 252 | DOI https://doi.org/10.36001/phme.2022.v7i1.3370
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Page 541-549

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 353 | PDF Downloads 436 | DOI https://doi.org/10.36001/phme.2022.v7i1.3372
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Page 550-555

A Novel Methodology for Health Assessment in Printed Circuit Boards

John Taco, Prayag Gore, Takanobu Minami, Pradeep Kundu, Alexander Suer, Jay Lee
Abstract 573 | PDF Downloads 313 | DOI https://doi.org/10.36001/phme.2022.v7i1.3373
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Page 556-562

Prediction of Production Line Status for Printed Circuit Boards

Haichuan Tang, Yin Tian, Junyan Dai, Yuan Wang, Jianli Cong, Qi Liu, Xuejun Zhao, Yunxiao Fu
Abstract 268 | PDF Downloads 240 | DOI https://doi.org/10.36001/phme.2022.v7i1.3371
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Page 563-570