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
Editors:
Chetan S. Kulkarni,
Marcos E. Orchard
Published: 2024-11-05
Technical Research Papers
A Deep Learning Solution for Quality Control in a Die Casting Process
Paula Mielgo, Anibal Bregon, Carlos J. Alonso-González, Daniel López, Miguel A. Martínez-Prieto, Belarmino Pulido
A Gamma Process Based Degradation Model with Fractional Gaussian Noise
Xiangyu Wang, Xiaopeng Xi, Marcos E. Orchard
A Multidisciplinary Framework for Vibration-Based Gear Fault Diagnosis Using Experiments, Modeling, and Machine Learning
Lior Bachar, Jacob Bortman
A Process for Real-Time Monitoring of a Turboshaft Engine
Eric Bechhoefer, Fatemeh Hajimohammadali
A Self-supervised Learning Approach for Anomaly Detection in Rotating Machinery
Fabrizio De Fabritiis, Konstantinos Gryllias
Advancing Light Aircraft Health Monitoring with Flight Phase Clustering
Oguz Bektas, Jan Papuga, Sylvain Kubler
Adversarial Attacks and Defenses in Multivariate Time-Series Forecasting for Smart and Connected Infrastructures
Pooja Krishan, Rohan Mohapatra, Sanchari Das, Saptarshi Sengupta
AI+AR based Framework for Guided Visual Diagnosis of Equipment
Teresa Gonzalez Diaz, Xian Yeow Lee, Huimin Zhuge, Lasitha Vidyaratne, Gregory Sin, Tsubasa Watanabe, Ahmed Farahat, Chetan Gupta
An Advanced Diagnostic Model for Gearbox Degradation Prediction Under Various Operating Conditions and Degradation Levels
Hanqi Su, Jay Lee
Assessing Aircraft Engine Wear through Simulation Techniques
Abdellah Madane, Jérôme Lacaille, Florent Forest, Hanane Azzag, Mustapha Lebbah
Assumption-based Design of Hybrid Diagnosis Systems
Daniel Jung, Mattias Krysander
Comparing Feature and Trajectory-Based Remaining Useful Life Modeling of Electrical Resistance Heating Wires
Simon Mählkvist, Wilhelm Söderkvist Vermelin, Thomas Helander, Konstantinos Kyprianidis
CycleGAN-based Data Augmentation for Enhanced Remaining Useful Life Prediction Under Unsupervised Domain Adaptation
Dorian Joubaud, Evgeny Zotov, Oğuz Bektaş, Sylvain Kubler, Yves LeTraon
Damage Diagnostics of Miter Gates Using Domain Adaptation and Normalizing Flow-Based Likelihood-Free Inference
Yichao Zeng, Zhao Zhao, Guofeng Qian, Michael D. Todd, Zhen Hu
Data-driven Detection of Engine Faults in Infrequently-driven Ground Vehicles
Ethan Kohrt, Matthew Moon, Matthew Sullivan, Sri Das, Michael Thurston, Nenad G. Nenadic
Data-Driven Remaining Useful Life Estimation
Ark Ifeanyi, Mattia Zanotelli, Jamie Coble
Development of PHM Algorithm of e-Latch to Prepare for the Era of Autonomous Driving
Mooseok Kwak, Jinwoo Nam, Kyoungtaek Kwak, Geunsoo Kim, Dongwook Choi, Jinsang Jung, Jungho Han, Gwanhee Kang, Kyeongjun Lim, Youngsoo Byun, Jungmin Eum, Michael H. Azarian, Namkyung Lee
Elastodynamics based Modelling of Acoustic Emission for Earlier Bearing Damage Detection
Anurag Bhattacharyya, Krishnan Thyagarajan, Jin Yan, Kevin Pintong, Qiushu Chen, Joseph Lee, Peter Kiesel, Kai Goebel
Evaluation of the Use of the Angular Domain and Order Domain in a Bearing Fault Detection Framework using Deep Learning
Racquel Knust Domingues, Julio A. Cordioli, Danilo Silva, Danilo de Souza Braga, Guilherme Cartagena Miron
Expected First Occurrence Time of Uncertain Future Events in One-Dimensional Linear Systems
David E. Acuña-Ureta, Diego I. Fuentealba-Secul, Marcos E. Orchard
Exploring the Nexus between Sensor Reliability and System Performance
Deepak Tripathy, Rahul Gottumukkala, Derek Kim
Extracting Quantitative Insights from electrochemical impedance spectra using Statistical Methods
Pavle Boskoski, Benjamin Königshofer, Gjorgji Nusev, Aljaž Ostrež, Vanja Subotić
Feature-weighted Random Forest with Boruta for Fault Diagnosis of Satellite Attitude Control Systems
Shaozhi Chen, Xiaopeng Xi, Maiying Zhong, Marcos E. Orchard
Global-Local Continual Transfer Network for Intelligent Fault Diagnosis of Rotating Machinery
Jipu Li, Ke Yue, Jingxiao Liao, Tao Wang, Xiaoge Zhang
Health Indicator Development for Low-Voltage Battery Diagnostics and Prognostics in Electric Vehicles
Xinyu Du, Huaizheng Mu, Kevin Corr, Matt Nowak, Hong Wong, Tung-Wah Frederick Chang, Sara Rahimifard
Investigation of the Dynamic Relationship between Oil Temperature and Bearing Gearbox Condition Indicator Values for the Bell 407 Helicopter Based on Cointegration Analysis
Oumayma Babay, Lotfi Saidi, Eric Bechhofer, Mohamed Benbouzid
Mean Variance Estimation Neural Network Particle Filter for Predicting Battery Remaining Useful Life
Francesco Cancelliere, Sylvain Girard, Jean-Marc Bourinet, Piero Baraldi, Enrico Zio
Modeling and Simulation of Thermal Effects on Electrical Behavior in Lithium-Ion Cells
Cristóbal Allendes, Ammi Beltrán, Jorge E. García, Diego Troncoso-Kurtovic, Bruno Masserano, Benjamín Brito Schiele, Violeta Rivera, Francisco Jaramillo, Marcos E. Orchard, Jorge F. Silva, Heraldo Rozas, Srikanth Rangarajan
On the Construction of Energy Efficiency-based Degradation Indicator for Photovoltaic Solar Inverters
Jorge Ruiz Amantegui, Phuc Do, Hai-Canh Vu, Marko Pavlov, Nicolas Favrot
Online and Offline Fault Detection and Diagnostics in a Nuclear Power Plant Condenser
Ark Ifeanyi, Jamie Coble
Physics and Data Collaborative Root Cause Analysis
Hao Huang, Tapan Shah, John Karigiannis, Scott Evans
Physics-Informed Data-Driven Approaches to State of Health Prediction of Maritime Battery Systems
Azzeddine Bakdi, Maximilian Bruch, Qin Liang, Erik Vanem
SYSAI for System Health Management - a Statistical Framework for the Analysis of Diagnosis Systems
Yuning He, Johann Schumann
Unsupervised Fault Detection in a Controlled Conical Tank
Joaquín Ortega, Camilo Ramírez, Tomás Rojas, Ferhat Tamssaouet, Marcos Orchard, Jorge Silva
Use of Tach from Vibration to Estimate Bearing Spall Length
Eric Bechhoefer, Omri Matania, Jacob Bortman
Temporal Convolutional Network-based Approach for Forecasting Fluctuations Differential Pressure in Reverse Osmosis Systems
The Son Pham, Thanh-Ha Do, Phuc Do
Using Explainable Artificial Intelligence to Interpret Remaining Useful Life Estimation with Gated Recurrent Unit
Marcia L. Baptista, Madhav Mishra, Elsa Henriques, Helmut Prendinger
Zero-shot Video Change Detection for Real-life Industrial Applications
Mahbubul Alam, Huimin Zhuge, Teresa Gonzalez, Ahmed Farahat, Song Wang, Chetan Gupta
Industry Experience Papers
Data Augmentation of Multivariate Sensor Time Series using Autoregressive Models and Application to Failure Prognostics
Douglas Baptista de Souza, Bruno Paes Leao
Diagnostics-LLaVA
Aman Kumar, Mahbubul Alam, Ahmed Farahat, Maheshjabu Somineni, Chetan Gupta
Health Assessment of Pump Stations using Time Series Anomaly Detection
Abhishek Murthy, Babak Afshin-Pour, Willem Malloy, Vasileios Geroulas
Investigating Model Form Error Estimation for Sparse Data
Kyle D. Neal, Mohammad Khalil, Teresa Portone
Large Language Model Agents as Prognostics and Health Management Copilots
Sarah Lukens, Lucas H. McCabe, Joshua Gen, Asma Ali
Proactive Aircraft Engine Removal Planning with Dynamic Bayesian Networks
Bharath Pidaparthi, Ryan Jacobs, Sayan Ghosh, Sandipp Krishnan Ravi, Ahmad W. Amer, Lele Luan, Murali Krishnan Rajasekharan Pillai, Feng Zhang, Victor Perez, Liping Wang
Towards a Fault Management Analysis Tool for Model Centric Systems Engineering
Ksenia Kolcio, Maurice Prather, David Wagner, Maged Elaasar, Narek Shougarian
United Airlines In-Flight Wi-Fi Health Management: Revolutionizing Aircraft Connectivity through Real-time Prognostics and Big Data Analysis
Ehsan Rahimi, Shuang Ling, Luis Mesen
Data Challenge Papers
A Comprehensive Approach to Fault Classification of Helicopter Engines with Adaboost Ensemble Model
Peeyush Pankaj, Sammit Jain, Shyam Joshi
A Design Science Approach Comparing Ensemble Learning and Artificial Neural Networks for Uncertainty-Aware Helicopter Turbine Engines Health Monitoring
Victor Henrique Alves Ribeiro, Gilberto Reynoso-Meza
Assessing Helicopter Turbine Engine Health: A Simple Yet Robust Probabilistic Approach
Peihua Han, Qin Liang, Erik Vanem, Knut Erik Knutsen, Houxiang Zhang
Estimating The Health of Helicopter Turbine Engines by Means of Regression and Classification Using a Probabilistic Neural Network
Tyler Romano, Nathan Siegel, Samuel Willis III, William Henn, Rishie Seshadri
Estimating the health of turbine engine based on the relationship between torque margin and density altitude
Kosei Ozeki, Takahiko Masuzaki, Takeru Shiraga, Koji Wakimoto, Takaaki Nakamura
Intelligent Helicopter Turbine Engine Fault Diagnosis Using Multi-Head Attention
Yong Hun Park, Hwan Hwan In Oh, In Tae Kim, So Jung Lee, Se Hee Moon, Gyu Jin Park, Jeong Kyu Park, Joon Ha Jung
Robust Health Condition Prediction of Helicopter Turboshaft Engines Using Ensemble Machine Learning Models
Zihan Wu, Junzhe Wang, Meng Li
Doctoral Symposium Summaries
A Graph Neural Network Approach to System-Level Health Index and Remaining Useful Life Estimation
Ark Ifeanyi
A Two-Step Framework for Predictive Maintenance of Cryogenic Pumps in Semiconductor Manufacturing
Sanjoy Kumar Saha, M. M. Manjurul Islam, Shaun McFadden, Saugat Bhattacharyya, Mark Gorman, Girijesh Prasad
Adaptable and Generic Methods for Monitoring and Prognostics of Energy Assets
Mohammad Badfar, Ratna Babu Chinnam, Murat Yildirim
Development of a methodology for diagnosing faults in bearings operating under variable operating conditions based on self-supervised learning
Racquel Knust Domingues, Julio A. Cordioli
Diagnostics and Prognostics with High Dimensional Spatial-Temporal Data: From Structures to Human Brains
Yan Xue, Yuxiang Zhou, Yongming Liu
Digital Twin Generalization with Meta and Geometric Deep Learning
Raffael Theiler, Olga Fink
Multimodal sensor-to-machined surface image diffusion for defect detection in industrial processes
Jae Gyeong Choi, Yun Seok Kang, Hyung Wook Park, Sunghoon Lim
PHM-Based Modeling for Cyberattack Classifier Performance
Priscila Silva
Remaining Useful Life Prognostics of Rolling Element Bearings Based on State Estimation Techniques
Zhen Li, Konstantinos Gryllias
System-level Prognostics and Health Management for Complex Industrial Systems
Mattia Zanotelli, Jamie Coble
Uncertainty-Aware Prediction of Remaining Useful Life in Complex Systems
Weijun Xu, Enrico Zio
Poster Presentations
Accepting Technology in Aviation Safety Risk Management: an extension of the technology acceptance model
Washington Mhangami, Stephen King, David Barry
Bearing Fault Detection in Conveyor Belt Drums Using Machine Learning
Victor Bauler, Júlio Cordioli, Danilo Silva, Danilo Braga
Frequency domain tensor-based 1D-convolutional neural network and multilinear principal component analysis for machinery fault detection
Ayantha Senanayaka , Qing Lee, Nayeon Lee, Sungkwang Mun, Amin Amirlatifi, Joseph Jabour, Thomas Arnold, Maria Seale
- Vol 16, No 1 (2024)
- Vol 15, No 1 (2023)
- Vol 14, No 1 (2022)
- Vol 13, No 1 (2021)
- Vol 12, No 1 (2020)
- Vol 11, No 1 (2019)
- Vol 10, No 1 (2018)
- Vol 9, No 1 (2017)
- Vol 8, No 1 (2016)
- Vol 7, No 1 (2015)
- Vol 6, No 1 (2014)
- Vol 5, No 1 (2013)
- Vol 4, No 1 (2012)
- Vol 3, No 1 (2011)
- Vol 2, No 2 (2010)
- Vol 2, No 1 (2010)
- Vol 1, No 1 (2009)