About the Journal

The European Conference of the Prognostics and Health Management (PHM) Society is held in the spring of even years (starting in 2012) and brings together the global community of PHM experts from industry, academia, and government in diverse application areas including energy, aerospace, transportation, automotive, manufacturing, and industrial automation.

All articles published by the PHM Society are available to the global PHM community via the internet for free and without any restrictions.


Current Issue

Edited by:

Phuc Do

Gabriel Michau

Cordelia Ezhilarasu

ISBN: 978-1-936263-36-3

Published: 2022-06-29

Proceedings Front Matter

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 361 | PDF Downloads 279

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 129 | PDF Downloads 100

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 124 | PDF Downloads 102

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 93 | PDF Downloads 75

Page 32-42

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

Zahra Taghiyarrenani, Amirhossein Berenji
Abstract 90 | PDF Downloads 107

Page 43-48

Online Flow Estimation for Condition Monitoring of Pumps in Aircraft Hydraulics

Phillip Bischof, Frank Thielecke, Dirk Metzler
Abstract 73 | PDF Downloads 93

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 68 | PDF Downloads 64

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 92 | PDF Downloads 71

Page 68-77

Page 78-86

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

Piero Danti, Ryota Minamino, Giovanni Vichi
Abstract 75 | PDF Downloads 64

Page 87-95

Filtering Misleading Repair Log Labels to Improve Predictive Maintenance Models

Pablo del Moral, Sławomir Nowaczyk, Sepideh Pashami
Abstract 119 | PDF Downloads 61

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 167 | PDF Downloads 114

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 829 | PDF Downloads 1568

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 76 | PDF Downloads 78

Page 136-145

Helicopter Bolt Loosening Monitoring using Vibrations and Machine Learning

Eli Gildish, Michael Grebshtein, Yehudit Aperstein, Alex Kushnirski, Igor Makienko
Abstract 105 | PDF Downloads 69

Page 146-155

Toward Runtime Assurance of Complex Systems with AI Components

Yuning He, Johann Schumann, Huafeng Yu
Abstract 71 | PDF Downloads 74

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 53 | PDF Downloads 61

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 72 | PDF Downloads 72

Page 182-192

Unsupervised Prognostics based on Deep Virtual Health Index Prediction

Martin Hervé de Beaulieu, Mayank Shekhar Jha, Hugues Garnier, Farid Cerbah
Abstract 121 | PDF Downloads 81

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 163 | PDF Downloads 116

Page 200-210

Physics Informed Neural Network for Health Monitoring of an Air Preheater

Vishal Jadhav, Anirudh Deodhar, Ashit Gupta, Venkataramana Runkana
Abstract 398 | PDF Downloads 183

Page 219-230

A Health Index Framework for Condition Monitoring and Health Prediction

Alexander Athanasios Kamtsiuris, Florian Raddatz, Gerko Wende
Abstract 77 | PDF Downloads 86

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 44 | PDF Downloads 41

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 165 | PDF Downloads 116

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 107 | PDF Downloads 65

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 79 | PDF Downloads 58

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 176 | PDF Downloads 211

Page 278-285

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

Sangho Lee, Youngdoo Son, Chihyeon Choi
Abstract 72 | PDF Downloads 52

Page 286-293

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

Lukas Lodes, Alexander Schiendorfer
Abstract 127 | PDF Downloads 76

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 80 | PDF Downloads 75

Page 306-314

Page 315-328

Prognosis of Wear Progression in Electrical Brakes for Aeronautical Applications

Andrea De Martin, Giovanni Jacazio, Vincenzo Parisi, Massimo Sorli
Abstract 60 | PDF Downloads 48

Page 329-337

Domain Knowledge Informed Unsupervised Fault Detection for Rolling Element Bearings

Douw Marx, Konstantinos Gryllias
Abstract 96 | PDF Downloads 82

Page 338-350

Estimation of Wind Turbine Performance Degradation with Deep Neural Networks

Manuel S Mathew, Surya Teja Kandukuri, Christian W Omlin
Abstract 81 | PDF Downloads 85

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 63 | PDF Downloads 69

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 64 | PDF Downloads 41

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 68 | PDF Downloads 59

Page 376-383

A Comparative Study of Health Monitoring Sensors based on Prognostic Performance

Hyung Jun Park, Nam Ho Kim, Joo-Ho Choi
Abstract 198 | PDF Downloads 46

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 51 | PDF Downloads 51

Page 3392-400

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

Cédric Peeters, Andreas Jakobsson, Jérôme Antoni, Jan Helsen
Abstract 88 | PDF Downloads 85

Page 401-409

Towards Data Reliability Based on Triple Redundancy and Online Outlier Detection

Sylvain Poupry, Cédrick Béler, Kamal Medjaher
Abstract 52 | PDF Downloads 39

Page 410-420

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

Maximilian-Peter Radtke, Jurgen Bock
Abstract 115 | PDF Downloads 99

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 57 | PDF Downloads 61

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 56 | PDF Downloads 41

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 78 | PDF Downloads 56

Page 449-457

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

Karolina Sobczak-Oramus, Ahmed Mosallam, Caner Basci, Jinlong Kang
Abstract 101 | PDF Downloads 74

Page 458-465

Autonomous Bearing Tone Tracking Algorithm

Alon Sol, Eyal Madar, Jacob Bortman, Renata Klein
Abstract 79 | PDF Downloads 39

Page 466-472

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

Zahra Taghiyarrenani, Amirhossein Berenji
Abstract 50 | PDF Downloads 45

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 179 | PDF Downloads 65

Page 480-489

Page 490-508

Failures Mapping for Aircraft Electrical Actuation System Health Management

Chengwei Wang, Ip-Shing Fan, Stephen King
Abstract 320 | PDF Downloads 120

Page 509-520

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

Jannik Zgraggen, Gianmarco Pizza, Lilach Goren Huber
Abstract 172 | PDF Downloads 135

Page 530-540

Doctoral Symposium

Deep Learning Representation Pre-training for Industry 4.0

Alaaeddine Chaoub, Christophe Cerisara, Alexandre Voisin, Benoît Iung
Abstract 75 | PDF Downloads 64

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 129 | PDF Downloads 113

Page 574-576

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

Lilin Jia, Cordelia Mattuvarkuzhali Ezhilarasu, Ian Jennions
Abstract 223 | PDF Downloads 73

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 228 | PDF Downloads 72

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 51 | PDF Downloads 68

Page 583-585

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

Van-Thai Nguyen, Phuc Do, Alexandre Voisin
Abstract 67 | PDF Downloads 74

Page 586-589

Combining Knowledge and Deep Learning for Prognostics and Health Management

Maximilian-Peter Radtke, Jürgen Bock
Abstract 133 | PDF Downloads 80

Page 594-597

Data Challenge Winners

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 84 | PDF Downloads 73

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 85 | PDF Downloads 81

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 175 | PDF Downloads 91

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 94 | PDF Downloads 71

Page 563-570