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
PHME 2021 Management Team, Publisher Information and Table of Contents
Abstract 28 | PDF Downloads 19PHME 2022 Management Team, Publisher Information and Table of Contents
Abstract 348 | PDF Downloads 415Technical Papers
Experiences of a Digital Twin Based Predictive Maintenance Solution for Belt Conveyor Systems
Abstract 981 | PDF Downloads 1382
Page 1-8
A Case-study Led Investigation of Explainable AI (XAI) to Support Deployment of Prognostics in the industry
Abstract 542 | PDF Downloads 451
Page 9-20
Long Horizon Anomaly Prediction in Multivariate Time Series with Causal Autoencoders
Abstract 521 | PDF Downloads 432
Page 21-31
Experimental Validation of Multi-fidelity Models for Prognostics of Electromechanical Actuators
Abstract 336 | PDF Downloads 303
Page 32-42
An Analysis of Vibrations and Currents for Broken Rotor Bar Detection in Three-phase Induction Motors
Abstract 413 | PDF Downloads 543
Page 43-48
Online Flow Estimation for Condition Monitoring of Pumps in Aircraft Hydraulics
Abstract 325 | PDF Downloads 308
Page 49-57
Hybrid Fault Prognostics for Nuclear Applications: Addressing Rotating Plant Model Uncertainty
Abstract 286 | PDF Downloads 231
Page 58-67
Data-driven Prognostics based on Evolving Fuzzy Degradation Models for Power Semiconductor Devices
Abstract 418 | PDF Downloads 308
Page 68-77
State of Health and Lifetime Prediction of Lithium-ion Batteries Using Self-learning Incremental Models
Abstract 426 | PDF Downloads 413
Page 78-86
Wrong Injection Detection in a Small Diesel Engine, a Machine Learning Approach
Abstract 304 | PDF Downloads 277
Page 87-95
Novel Metrics to Evaluate Probabilistic Remaining Useful Life Prognostics with Applications to Turbofan Engines
Abstract 499 | PDF Downloads 597
Page 96-109
Filtering Misleading Repair Log Labels to Improve Predictive Maintenance Models
Abstract 430 | PDF Downloads 246
Page 110-117
Physics-informed Lightweight Temporal Convolution Networks for Fault Prognostics Associated to Bearing Stiffness Degradation
Abstract 686 | PDF Downloads 471
Page 118-125
Design and validation of scalable PHM solutions for aerospace onboard systems
Abstract 8022 | PDF Downloads 16965
Page 126-135
Sensor Fault/Failure Correction and Missing Sensor Replacement for Enhanced Real-time Gas Turbine Diagnostics
Abstract 307 | PDF Downloads 351
Page 136-145
Helicopter Bolt Loosening Monitoring using Vibrations and Machine Learning
Abstract 520 | PDF Downloads 383
Page 146-155
On the Integration of Fundamental Knowledge about Degradation Processes into Data-Driven Diagnostics and Prognostics Using Theory-Guided Data Science
Abstract 507 | PDF Downloads 475
Page 156-165
Toward Runtime Assurance of Complex Systems with AI Components
Abstract 302 | PDF Downloads 354
Page 166-174
Machine Learning Methods for Health-Index Prediction in Coating Chambers
Abstract 213 | PDF Downloads 508
Page 175-181
Approximate Bayesian Computation as a New Tool for Partial Discharge Analysis of Partial Discharge Data
Abstract 283 | PDF Downloads 288
Page 182-192
Unsupervised Prognostics based on Deep Virtual Health Index Prediction
Abstract 443 | PDF Downloads 393
Page 193-199
Autoencoder Based Anomaly Detection and Explained Fault Localization in Industrial Cooling Systems
Abstract 429 | PDF Downloads 358
Page 200-210
Joint Autoencoder-Classifier Model for Malfunction Identification and Classification on Marine Diesel Engine Diagnostics Data
Abstract 305 | PDF Downloads 340
Page 211-218
Physics Informed Neural Network for Health Monitoring of an Air Preheater
Abstract 1097 | PDF Downloads 756
Page 219-230
A Health Index Framework for Condition Monitoring and Health Prediction
Abstract 634 | PDF Downloads 567
Page 231-238
Tool Compatibility Index: Indicator Enables Improved Tool Selection for Well Construction
Abstract 231 | PDF Downloads 202
Page 239-244
An End-to-End Pipeline for Uncertainty Quantification and Remaining Useful Life Estimation: An Application on Aircraft Engines
Abstract 2057 | PDF Downloads 377
Page 245-260
Fault Detection in a Wind Turbine Hydraulic Pitch System Using Deep Autoencoder Extracted Features
Abstract 292 | PDF Downloads 222
Page 261-268
iVRIDA: intelligent Vehicle Running Instability Detection Algorithm for High-speed Rail Vehicles using Temporal Convolution Network – A Pilot Study
Abstract 323 | PDF Downloads 263
Page 269-277
Remaining-Useful-Life prognostics for opportunistic grouping of maintenance of landing gear brakes for a fleet of aircraft
Abstract 749 | PDF Downloads 496
Page 278-285
Novel Graph-Based Features for Bearing Fault Diagnosis: Two Aspects of Time Series Structure
Abstract 283 | PDF Downloads 207
Page 286-293
Certainty Groups: A Practical Approach to Distinguish Confidence Levels in Neural Networks
Abstract 345 | PDF Downloads 221
Page 294-305
Processing of Condition Monitoring Annotations with BERT and Technical Language Substitution: A Case Study
Abstract 475 | PDF Downloads 280
Page 306-314
A Design Methodology for Robust Model-Based Fault Diagnosis Schemes and its Application to an Aircraft Hydraulic Power Package
Abstract 171 | PDF Downloads 212
Page 315-328
Prognosis of Wear Progression in Electrical Brakes for Aeronautical Applications
Abstract 246 | PDF Downloads 229
Page 329-337
Domain Knowledge Informed Unsupervised Fault Detection for Rolling Element Bearings
Abstract 360 | PDF Downloads 269
Page 338-350
Estimation of Wind Turbine Performance Degradation with Deep Neural Networks
Abstract 499 | PDF Downloads 2375
Page 351-359
Weighted-QMIX-based Optimization for Maintenance Decision-making of Multi-component Systems
Abstract 325 | PDF Downloads 248
Page 360-367
Data Driven Seal Wear Classifications using Acoustic Emissions and Artificial Neural Networks
Abstract 245 | PDF Downloads 170
Page 368-375
Severity Estimation of Faulty Bearings Based on Strain Signals From Physical Models and FBG Measurements
Abstract 224 | PDF Downloads 193
Page 376-383
A Comparative Study of Health Monitoring Sensors based on Prognostic Performance
Abstract 1423 | PDF Downloads 180
Page 384-391
Forecasting Piston Rod Seal Failure Based on Acoustic Emission Features in ARIMA Model
Abstract 239 | PDF Downloads 192
Page 3392-400
Improved Time-Frequency Representation for Non-stationary Vibrations of Slow Rotating Machinery
Abstract 290 | PDF Downloads 302
Page 401-409
Towards Data Reliability Based on Triple Redundancy and Online Outlier Detection
Abstract 214 | PDF Downloads 156
Page 410-420
Expert Knowledge Induced Logic Tensor Networks: A Bearing Fault Diagnosis Case Study
Abstract 426 | PDF Downloads 356
Page 421-431
Domain Adaptation in Predicting Turbocharger Failures Using Vehicle’s Sensor Measurements
Abstract 547 | PDF Downloads 318
Page 432-439
Experimental Assessment of a Broadband Vibration and Acoustic Emission Sensor for Rotorcraft Transmission Monitoring
Abstract 215 | PDF Downloads 185
Page 440-448
Optical Cutting Tool Wear Monitoring by 3D Geometry Reconstruction
Abstract 287 | PDF Downloads 232
Page 449-457
Data-Driven Fault Detection for Transmitter in Logging-While-Drilling Tool
Abstract 334 | PDF Downloads 220
Page 458-465
Noise-Robust Representation for Fault Identification with Limited Data via Data Augmentation
Abstract 202 | PDF Downloads 159
Page 473-479
Automating Critical Surface Identification and Damage Detection Using Deep Learning and Perspective Projection Methods
Abstract 367 | PDF Downloads 191
Page 480-489
State of Health Forecasting of Heterogeneous Lithium-ion Battery Types and Operation Enabled by Transfer Learning
Abstract 483 | PDF Downloads 652
Page 490-508
Failures Mapping for Aircraft Electrical Actuation System Health Management
Abstract 1511 | PDF Downloads 952
Page 509-520
An Approach to Condition Monitoring of BLDC Motors with Experimentally Validated Simulation Data
Abstract 250 | PDF Downloads 293
Page 521-529
Uncertainty Informed Anomaly Scores with Deep Learning: Robust Fault Detection with Limited Data
Abstract 485 | PDF Downloads 469
Page 530-540
Doctoral Symposium
Deep Learning Representation Pre-training for Industry 4.0
Abstract 281 | PDF Downloads 233
Page 571-573
Physics Informed Self Supervised Learning For Fault Diagnostics and Prognostics in the Context of Sparse and Noisy Data
Abstract 492 | PDF Downloads 404
Page 574-576
A Novel Way to Apply Transfer Learning to Aircraft System Fault Diagnosis
Abstract 1276 | PDF Downloads 237
Page 577-579
The Application, Utility and Acceptability of Data Analytics in Safety Risk Management of Airline Operations
Abstract 959 | PDF Downloads 300
Page 580-582
Diagnosis and Fault-Tolerant Control for a Multi-Engine Cluster of a Reusable Launcher with Sensor and Actuator Faults
Abstract 239 | PDF Downloads 294
Page 583-585
Artificial-Intelligence-Based Maintenance Scheduling for Complex Systems with Multiple Dependencies
Abstract 250 | PDF Downloads 289
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
Abstract 230 | PDF Downloads 143
Page 590-593
Combining Knowledge and Deep Learning for Prognostics and Health Management
Abstract 386 | PDF Downloads 264
Page 594-597
Data Challenge Winners
A Novel Methodology for Health Assessment in Printed Circuit Boards
Abstract 26 | PDF Downloads 13
Page 556-562
Application of Machine Learning Methods to Predict the Quality of Electric Circuit Boards of a Production Line
Abstract 22 | PDF Downloads 10
Page 550-555
Prediction of Production Line Status for Printed Circuit Boards
Abstract 20 | PDF Downloads 7
Page 563-570
A Hierarchical XGBoost Early Detection Method for Quality and Productivity Improvement of Electronics Manufacturing Systems
Abstract 276 | PDF Downloads 255
Page 541-549
Application of Machine Learning Methods to Predict the Quality of Electric Circuit Boards of a Production Line
Abstract 357 | PDF Downloads 439
Page 550-555
A Novel Methodology for Health Assessment in Printed Circuit Boards
Abstract 574 | PDF Downloads 315
Page 556-562
Prediction of Production Line Status for Printed Circuit Boards
Abstract 268 | PDF Downloads 241
Page 563-570