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
Technical Papers
A Contribution to Online System-level Prognostics based on Adaptive Degradation Models
Page 9
A Dual-Stream architecture based on Neural Turing Machine and Attention for the Remaining Useful Life Estimation problem
Page 10
A Novel Fault Indicator for Local Demagnetization in Fractional-Slot Permanent Magnet Synchronous Motor using Winding Function Theory
Page 6
A Probabilistic Data-Driven Prognostic Methodology for Proton Exchange Membrane Fuel Cells
Page 13
A Process-based Review of Post-Prognostics Decision-Making
Page 12
A Proposal of a Technique for Correlating Defect Dimensions to Vibration Amplitude in Bearing Monitoring
Page 14
Agent-Based Optimization of Maintenance Planning for Railway Vehicles
Page 9
An Integrated Risk-Based Strategy for Real-Time Decision Making and Mission Reconfiguration in Unmanned Aerial Vehicles
Page 9
An overview on diagnosability and prognosability for system monitoring
Page 11
Application of AI failure identification techniques in condition monitoring using wavelet analysis
Page 12
Classification of stages of wear in spur gears based on wear debris morphology
Page 9
Condition Monitoring of a Paper Feeding Mechanism Using Model-of-Signals as Machine Learning Features
Page 10
Condition Monitoring System for Internal Blowout Prevention (IBOP) in Top Drive Assembly System using Discrete Event Systems and Deep Learning Approaches
Page 9
Data-driven fault diagnosis of bogie suspension components with on- board acoustic sensors
Page 13
Data-driven Performance Fault Detection in Commercial Wind Turbines
Page 7
Diagnostics of seal and rod degradation in hydraulic cylinders using acoustic emissions
Page 8
Early Fault Detection Based on Wind Turbine SCADA Data Using Convolutional Neural Networks
Page 9
Engine Load Prediction during Take-Off for the V2500 Engine
Page 12
Estimation of Health Indicators using Advanced Analytics for Prediction of Aircraft Systems Remaining Useful Lifetime
Page 10
Evaluation of time series forecasting approaches for the reliable crack length prediction of riveted aluminium plates given insufficient data
Page 11
Fault Diagnosis and Prognosis of a Brushless DC motor using a Model-based Approach
Page 9
Fleet-based System Health Assessment: Reasoning about Change and Differences
Page 11
Hybrid Fault Prognosis for Excitation Capacitors of Self-Excited Induction Generator for Wind Energy Applications
Page 8
Identifying NOx Sensor Failure for Predictive Maintenance of Diesel Engines using Explainable AI
Page 11
In-depth Feature Selection for PHM System's Feasibility Study for Helicopters' Main and Tail Rotor Actuators
Page 9
Machine Learning Interpretability Techniques for Outage Prediction: A Comparative Study
Page 10
Model-based Prognosis Approach using a Zonotopic Kalman Filter with Application to a Wind Turbine
Page 9
Model based diagnosis in complex industrial systems: a methodology
Page 8
On Automatic Fault Diagnosis in Wind Turbine Condition Monitoring
Page 8
On Condition Monitoring of Wind Turbines without Speed Sensor
Page 7
On the use of PCA for Diagnostics via Novelty Detection: interpretation, practical application notes and recommendation for use
Page 13
Opportunities for Explainable Artificial Intelligence in Aerospace Predictive Maintenance
Page 11
Optimized Maintenance Decision-Making – A Simulation-supported Prescriptive Analytics Approach based on Probabilistic Cost-Benefit Analysis
Page 14
Predicting RUL of Bearings in the Pumps of a Critical Industrial Air Treatment System
Page 12
Predictive Maintenance using Incipient Fault Detection
Page 7
Prognostics in Aeronautics with Deep Recurrent Neural Networks
Page 11
Post-prognostics decision making for a two-stacks fuel cell system based on a load-dependent deterioration model
Page 9
Rapid Diagnosis of Induction Motor Electrical Faults using Convolutional Autoencoder Feature Extraction
Page 10
Remaining Useful Life Estimation in Aircraft Components with Federated Learning
Page 9
Remaining Useful Lifetime estimation for Electronic Power modules using an analytical degradation model
Page 10
Repairable System Analysis of the Radioactive Ventilation Gas Monitors at CERN from Field Data
Page 8
Retargeting PHM tools: from industrial to medical field
Page 7
RUL Predict of IGBT Based on DeepAR Using Transient Switch Features
Page 11
Sensitivity Analysis of Online Oil Quality Monitoring for Early Detection of Water Ingress in Marine Propulsion Systems
Page 10
Streaming-based feature extraction and clustering for condition detection in dynamic environments: an industrial case
Page 14
Supervised Learning Using Quantum Technology
Page 7
Towards Self-aware and Environment-aware Power Converters
Page 13
Unsupervised Domain Adaptation based Remaining Useful Life Prediction of Rolling Element Bearings
Page 10
Unsupervised Ranking of Outliers in Wind Turbines via Isolation Forest with Dictionary Learning
Page 9
Wear monitoring of journal bearings with acoustic emission under different operating conditions
Page 8