About the Journal

The annual Conference of the Prognostics and Health Management (PHM) Society is held each autum in North America 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
New Capacitive Thermal Age Tag for Predicting Remaining Thermal Life of Multiple Products
Page 10
Time-of-Failure Probability Mass Function Computation Using the First-Passage-Time Method Applied to Particle Filter-based Prognostics
Page 11
A Relearning Approach to Reinforcement Learning for control of Smart Buildings
Page 14
Prognosis of Wind Turbine Gearbox Bearing Failures using SCADA and Modeled Data
Page 10
Complementary Meta-Reinforcement Learning for Fault-Adaptive Control
Page 8
Contending Remaining Useful Life Algorithms
Page 9
Life prediction for aircraft structure based on Bayesian inference: towards a digital twin ecosystem
Page 8
Cross-Turbine Training of Convolutional Neural Networks for SCADA-Based Fault Detection in Wind Turbines
Page 10
Domain Adaptation for Structural Health Monitoring
Page 9
Modeling exponential decay in maximum capacitance across specified flight patterns in small aircraft
Page 11
Digital twin approach for intelligent operation planning and health management of mechanical systems
Page 9
Risk Assessment of Obstacle Collision for UAVs under off-nominal conditions
Page 9
On Modeling of Vibration and Crack Growth in a Rotor for Prognostics
Page 9
A decision-making framework for safe operations of unmanned aerial vehicles in urban scenarios
Page 11
Deep anomaly detection for industrial systems: a case study
Page 8
Overcoming Adversarial Perturbations in Data-driven Prognostics Through Semantic Structural Context-driven Deep Learning
Page 11
A Hybrid Model for Wind Turbine Main Bearing Fatigue with Uncertainty in Grease Observations
Page 14
An LSTM-Based Online Prediction Method for Building Electric Load During COVID-19
Page 8
On the application of transfer learning in prognostics and health management
Page 8
Similarity-based Feature Extraction from Vibration Data for Prognostics
Page 10
Enhancing Fault Isolation for Health Monitoring of Electric Aircraft Propulsion by Embedding Failure Mode and Effect Analysis into Bayesian Networks
Page 12
Domain Adaptation Digital Twin for Rolling Element Bearing Prognostics
Page 10
Support-Vector Machine Approach for Robust Fault Diagnosis of Electric Vehicle Permanent Magnet Synchronous Motor
Page 10
Preliminary study towards the definition of a PHM framework for the hydraulic system of a fly-by-wire helicopter
Page 13
Development of Multivariate Failure Threshold with Quantifiable Operation Risks in Machine Prognostics
Page 9
Deep Learning based Optical Inspection with Centralized Analysis for High Volume Smart Manufacturing
Page 9
An Evolutionary Algorithm for the Electric Vehicle Routing Problem with Battery Degradation and Capacitated Charging Stations
Page 9
Real time model-based diagnosis enabled by hybrid modeling
Page 10
Digital Fleet Management: A Scalable Cloud Framework based on Data-driven Prediction Models
Page 8
Towards Fault-Tolerant Strategy in Satellite Attitude Control Systems: A Review
Page 14
Fatigue Life Prognosis of a Light Aircraft Landing Gear Leg
Page 9
A low quiescent power wireless rotating machinery condition monitoring system
Page 7
Integrating Model-Based and Data-Driven Simulator for Health Management of a Reusable Rocket Engine
Page 9
Efficient Sensor Placement for Health Management of a Rocket Engine Using Monte Carlo Simulation
Page 9
Aircraft Troubleshooting Optimization Using Case-based Reasoning and Decision Analysis
Page 8
Unsupervised Learning based Degradation Estimation and Abnormal Working Condition Detection for a Class of Anthropomorphic Robotic Hand
Page 11
WaveNet based Autoencoder Model: Vibration Analysis on Centrifugal Pump for Degradation Estimation.
Page 6
Data-driven Residual Generation for Early Fault Detection with Limited Data
Page 9
Hierarchical structural health monitoring of wind turbines based on an overview of mechanical damage
Page 7
Visualizing Corrosion in Automobiles using Generative Adversarial Networks
Page 9
A Novel Orbit-based CNN Model for Automatic Fault Identification of Rotating Machines
Page 7
Fault Diagnosis for the Perception Software in Highly Automated Vehicles and Reference Generation Based on World Model
Page 11
Domain Adversarial Transfer Learning for Generalized Tool Wear Prediction
Page 8
Automatic detection of rare observations during production tests using statistical models
Page 10
Octave-band Filtering for Convolutional Neural Network-based Diagnostics for Rotating Machinery
Page 9
Acoustic emission based condition monitoring study of piston rod seals by varying speed and pressure parameters
Page 9
Fault Detection and Isolation for Brake Rotor Thickness Variation
Page 8
Fault Diagnostics and Prognostics for Vehicle Springs and Stablizer Bar
Page 10
Validation and Refinement of a Steering Friction Increase Detection Algorithm Using Test Drive Data
Page 10
Fault Diagnosis and Isolation for Brushless Electronic Returnless Fuel Systems
Page 9
Enhancing Railway Pantograph Carbon Strip Prognostics with Data Blending through a Time-Delay Neural Network Ensemble
Page 9
Pushing Distributed Vibration Analysis to the Edge with a Low-Resolution Companding Autoencoder: Industrial IoT for PHM
Page 9
A Study of Convolutional Neural Networks Learning Mechanisms for Machine Health Monitoring Applications
Page 8
Similarity-based anomaly score for fleet-based condition monitoring
Page 9
The Noisy Multipath Parallel Hybrid Model for Remaining Useful Life Estimation (NMPM)
Page 10
Text Classification and Tagging of United States Army Ground Vehicle Fault Descriptions in Support of Data-Driven Prognostics
Page 8
A Hybrid Learning Approach to Prognostics and Health Management Applied to Military Ground Vehicles Using Time-Series and Maintenance Event Data
Page 10
Vibration Analysis for Anomaly Detection in Unmanned Aircraft
Page 10
Large-scale Vibration Monitoring of Aircraft Engines from Operational Data using Self-organized Models
Page 11