Vol. 16 No. 1 (2024): Proceedings of the Annual Conference of the PHM Society 2024

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
Abstract 285 | PDF Downloads 128 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.3973
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A Gamma Process Based Degradation Model with Fractional Gaussian Noise

Xiangyu Wang, Xiaopeng Xi, Marcos E. Orchard
Abstract 176 | PDF Downloads 105 Presentation Downloads 47 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4022
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Presentation

A Multidisciplinary Framework for Vibration-Based Gear Fault Diagnosis Using Experiments, Modeling, and Machine Learning

Lior Bachar, Jacob Bortman
Abstract 174 | PDF Downloads 142 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4162
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A Process for Real-Time Monitoring of a Turboshaft Engine

Eric Bechhoefer, Fatemeh Hajimohammadali
Abstract 201 | PDF Downloads 130 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.3929
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A Self-supervised Learning Approach for Anomaly Detection in Rotating Machinery

Fabrizio De Fabritiis, Konstantinos Gryllias
Abstract 290 | PDF Downloads 197 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.3911
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Advancing Light Aircraft Health Monitoring with Flight Phase Clustering

Oguz Bektas, Jan Papuga, Sylvain Kubler
Abstract 117 | PDF Downloads 80 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.3896
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Adversarial Attacks and Defenses in Multivariate Time-Series Forecasting for Smart and Connected Infrastructures

Pooja Krishan, Rohan Mohapatra, Sanchari Das, Saptarshi Sengupta
Abstract 153 | PDF Downloads 95 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4082
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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
Abstract 126 | PDF Downloads 124 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.3909
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An Advanced Diagnostic Model for Gearbox Degradation Prediction Under Various Operating Conditions and Degradation Levels

Hanqi Su, Jay Lee
Abstract 179 | PDF Downloads 114 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.3869
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Assessing Aircraft Engine Wear through Simulation Techniques

Abdellah Madane, Jérôme Lacaille, Florent Forest, Hanane Azzag, Mustapha Lebbah
Abstract 188 | PDF Downloads 118 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.3924
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Assumption-based Design of Hybrid Diagnosis Systems

Daniel Jung, Mattias Krysander
Abstract 134 | PDF Downloads 123 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4141
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Comparing Feature and Trajectory-Based Remaining Useful Life Modeling of Electrical Resistance Heating Wires

Simon Mählkvist, Wilhelm Söderkvist Vermelin, Thomas Helander, Konstantinos Kyprianidis
Abstract 109 | PDF Downloads 104 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.3913
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CycleGAN-based Data Augmentation for Enhanced Remaining Useful Life Prediction Under Unsupervised Domain Adaptation

Dorian Joubaud, Evgeny Zotov, Oğuz Bektaş, Sylvain Kubler, Yves LeTraon
Abstract 161 | PDF Downloads 121 Presentation Downloads 41 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.3898
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Presentation

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
Abstract 170 | PDF Downloads 105 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4223
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Data-driven Detection of Engine Faults in Infrequently-driven Ground Vehicles

Ethan Kohrt, Matthew Moon, Matthew Sullivan, Sri Das, Michael Thurston, Nenad G. Nenadic
Abstract 96 | PDF Downloads 112 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.3899
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Data-Driven Remaining Useful Life Estimation

Ark Ifeanyi, Mattia Zanotelli, Jamie Coble
Abstract 170 | PDF Downloads 176 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4071
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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
Abstract 153 | PDF Downloads 94 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4061
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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
Abstract 243 | PDF Downloads 114 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.3971
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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
Abstract 171 | PDF Downloads 123 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4146
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Expected First Occurrence Time of Uncertain Future Events in One-Dimensional Linear Systems

David E. Acuña-Ureta, Diego I. Fuentealba-Secul, Marcos E. Orchard
Abstract 130 | PDF Downloads 79 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4116
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Exploring the Nexus between Sensor Reliability and System Performance

Deepak Tripathy, Rahul Gottumukkala, Derek Kim
Abstract 113 | PDF Downloads 77 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.3888
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Extracting Quantitative Insights from electrochemical impedance spectra using Statistical Methods

Pavle Boskoski, Benjamin Königshofer, Gjorgji Nusev, Aljaž Ostrež, Vanja Subotić
Abstract 146 | PDF Downloads 86 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4057
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Feature-weighted Random Forest with Boruta for Fault Diagnosis of Satellite Attitude Control Systems

Shaozhi Chen, Xiaopeng Xi, Maiying Zhong, Marcos E. Orchard
Abstract 172 | PDF Downloads 115 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4132
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Global-Local Continual Transfer Network for Intelligent Fault Diagnosis of Rotating Machinery

Jipu Li, Ke Yue, Jingxiao Liao, Tao Wang, Xiaoge Zhang
Abstract 122 | PDF Downloads 114 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4064
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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
Abstract 200 | PDF Downloads 112 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.3918
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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
Abstract 185 | PDF Downloads 110 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4000
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Mean Variance Estimation Neural Network Particle Filter for Predicting Battery Remaining Useful Life

Francesco Cancelliere, Sylvain Girard, Jean-Marc Bourinet, Piero Baraldi, Enrico Zio
Abstract 174 | PDF Downloads 163 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4078
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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
Abstract 368 | PDF Downloads 142 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4080
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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
Abstract 160 | PDF Downloads 104 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4156
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Online and Offline Fault Detection and Diagnostics in a Nuclear Power Plant Condenser

Ark Ifeanyi, Jamie Coble
Abstract 169 | PDF Downloads 81 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.3934
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Physics and Data Collaborative Root Cause Analysis

Hao Huang, Tapan Shah, John Karigiannis, Scott Evans
Abstract 173 | PDF Downloads 119 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.3881
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Physics-Informed Data-Driven Approaches to State of Health Prediction of Maritime Battery Systems

Azzeddine Bakdi, Maximilian Bruch, Qin Liang, Erik Vanem
Abstract 184 | PDF Downloads 135 Presentation Downloads 41 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4135
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Presentation

SPIKE-Dx

Chetan Kulkarni, Johann Schumann, Anupa Bajwa
Abstract 187 | PDF Downloads 104 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4154
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SYSAI for System Health Management - a Statistical Framework for the Analysis of Diagnosis Systems

Yuning He, Johann Schumann
Abstract 110 | PDF Downloads 84 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.3907
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Unsupervised Fault Detection in a Controlled Conical Tank

Joaquín Ortega, Camilo Ramírez, Tomás Rojas, Ferhat Tamssaouet, Marcos Orchard, Jorge Silva
Abstract 230 | PDF Downloads 98 Presentation Downloads 34 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4137
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Presentation

Use of Tach from Vibration to Estimate Bearing Spall Length

Eric Bechhoefer, Omri Matania, Jacob Bortman
Abstract 189 | PDF Downloads 106 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.3928
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Temporal Convolutional Network-based Approach for Forecasting Fluctuations Differential Pressure in Reverse Osmosis Systems

The Son Pham, Thanh-Ha Do, Phuc Do
Abstract 126 | PDF Downloads 83 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4144
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Using Explainable Artificial Intelligence to Interpret Remaining Useful Life Estimation with Gated Recurrent Unit

Marcia L. Baptista, Madhav Mishra, Elsa Henriques, Helmut Prendinger
Abstract 194 | PDF Downloads 140 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4124
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Zero-shot Video Change Detection for Real-life Industrial Applications

Mahbubul Alam, Huimin Zhuge, Teresa Gonzalez, Ahmed Farahat, Song Wang, Chetan Gupta
Abstract 93 | PDF Downloads 73 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.3903
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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
Abstract 98 | PDF Downloads 127 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4145
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Diagnostics-LLaVA

Aman Kumar, Mahbubul Alam, Ahmed Farahat, Maheshjabu Somineni, Chetan Gupta
Abstract 195 | PDF Downloads 112 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4147
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Health Assessment of Pump Stations using Time Series Anomaly Detection

Abhishek Murthy, Babak Afshin-Pour, Willem Malloy, Vasileios Geroulas
Abstract 113 | PDF Downloads 92 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.3870
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Investigating Model Form Error Estimation for Sparse Data

Kyle D. Neal, Mohammad Khalil, Teresa Portone
Abstract 90 | PDF Downloads 83 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4081
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Large Language Model Agents as Prognostics and Health Management Copilots

Sarah Lukens, Lucas H. McCabe, Joshua Gen, Asma Ali
Abstract 704 | PDF Downloads 378 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.3906
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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
Abstract 137 | PDF Downloads 103 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4148
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Towards a Fault Management Analysis Tool for Model Centric Systems Engineering

Ksenia Kolcio, Maurice Prather, David Wagner, Maged Elaasar, Narek Shougarian
Abstract 123 | PDF Downloads 65 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.3895
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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
Abstract 107 | PDF Downloads 108 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.3937
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Data Challenge Papers

A Comprehensive Approach to Fault Classification of Helicopter Engines with Adaboost Ensemble Model

Peeyush Pankaj, Sammit Jain, Shyam Joshi
Abstract 130 | PDF Downloads 101 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4194
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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
Abstract 122 | PDF Downloads 125 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4187
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Assessing Helicopter Turbine Engine Health: A Simple Yet Robust Probabilistic Approach

Peihua Han, Qin Liang, Erik Vanem, Knut Erik Knutsen, Houxiang Zhang
Abstract 203 | PDF Downloads 112 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4186
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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
Abstract 256 | PDF Downloads 130 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4196
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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
Abstract 204 | PDF Downloads 170 Presentation Downloads 49 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4191
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Presentation

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
Abstract 156 | PDF Downloads 124 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4193
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Robust Health Condition Prediction of Helicopter Turboshaft Engines Using Ensemble Machine Learning Models

Zihan Wu, Junzhe Wang, Meng Li
Abstract 163 | PDF Downloads 111 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4195
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Doctoral Symposium Summaries

A Graph Neural Network Approach to System-Level Health Index and Remaining Useful Life Estimation

Ark Ifeanyi
Abstract 119 | PDF Downloads 97 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4159
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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
Abstract 141 | PDF Downloads 88 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4180
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Adaptable and Generic Methods for Monitoring and Prognostics of Energy Assets

Mohammad Badfar, Ratna Babu Chinnam, Murat Yildirim
Abstract 99 | PDF Downloads 70 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4216
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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
Abstract 111 | PDF Downloads 75 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4183
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Diagnostics and Prognostics with High Dimensional Spatial-Temporal Data: From Structures to Human Brains

Yan Xue, Yuxiang Zhou, Yongming Liu
Abstract 143 | PDF Downloads 100 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4213
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Digital Twin Generalization with Meta and Geometric Deep Learning

Raffael Theiler, Olga Fink
Abstract 191 | PDF Downloads 149 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4176
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Multimodal sensor-to-machined surface image diffusion for defect detection in industrial processes

Jae Gyeong Choi, Yun Seok Kang, Hyung Wook Park, Sunghoon Lim
Abstract 105 | PDF Downloads 66 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4212
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PHM-Based Modeling for Cyberattack Classifier Performance

Priscila Silva
Abstract 97 | PDF Downloads 74 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4177
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Remaining Useful Life Prognostics of Rolling Element Bearings Based on State Estimation Techniques

Zhen Li, Konstantinos Gryllias
Abstract 110 | PDF Downloads 88 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4179
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System-level Prognostics and Health Management for Complex Industrial Systems

Mattia Zanotelli, Jamie Coble
Abstract 123 | PDF Downloads 86 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4175
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Uncertainty-Aware Prediction of Remaining Useful Life in Complex Systems

Weijun Xu, Enrico Zio
Abstract 198 | PDF Downloads 84 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4178
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Poster Presentations

Accepting Technology in Aviation Safety Risk Management: an extension of the technology acceptance model

Washington Mhangami, Stephen King, David Barry
Abstract 246 | PDF Downloads 197 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.3922
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Bearing Fault Detection in Conveyor Belt Drums Using Machine Learning

Victor Bauler, Júlio Cordioli, Danilo Silva, Danilo Braga
Abstract 166 | PDF Downloads 96 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4065
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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
Abstract 143 | PDF Downloads 88 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.3871
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