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 660 | PDF Downloads 363 | 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 472 | PDF Downloads 278 Presentation Downloads 128 | 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 394 | PDF Downloads 297 | 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 498 | PDF Downloads 336 | 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 690 | PDF Downloads 414 | 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 332 | PDF Downloads 234 | 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 410 | PDF Downloads 242 | 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 283 | PDF Downloads 288 | 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 510 | PDF Downloads 306 | 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 427 | PDF Downloads 262 | 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 289 | PDF Downloads 287 | 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 256 | PDF Downloads 244 | 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 369 | PDF Downloads 345 Presentation Downloads 112 | 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 346 | PDF Downloads 230 | 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 252 | PDF Downloads 247 | 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 382 | PDF Downloads 365 | 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 289 | PDF Downloads 235 | 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 602 | PDF Downloads 238 | 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 323 | PDF Downloads 249 | 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 264 | PDF Downloads 200 | 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 260 | PDF Downloads 216 | 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 279 | PDF Downloads 264 | 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 342 | PDF Downloads 297 | 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 235 | PDF Downloads 249 | 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 439 | PDF Downloads 296 | 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 294 | PDF Downloads 251 | 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 300 | PDF Downloads 314 | 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 746 | PDF Downloads 326 | 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 292 | PDF Downloads 246 | 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 437 | PDF Downloads 227 | 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 470 | PDF Downloads 291 | 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 356 | PDF Downloads 258 Presentation Downloads 101 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4135
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Presentation

SPIKE-Dx

Chetan Kulkarni, Johann Schumann, Anupa Bajwa
Abstract 365 | PDF Downloads 230 | 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 247 | PDF Downloads 237 | 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 468 | PDF Downloads 215 Presentation Downloads 81 | 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 463 | PDF Downloads 232 | 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 265 | PDF Downloads 222 | 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 479 | PDF Downloads 279 | 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 233 | PDF Downloads 181 | 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 229 | PDF Downloads 287 | 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 457 | PDF Downloads 269 | 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 234 | PDF Downloads 244 | 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 218 | PDF Downloads 208 | 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 1514 | PDF Downloads 694 | 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 268 | PDF Downloads 196 | 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 234 | PDF Downloads 177 | 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 215 | PDF Downloads 263 | 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 244 | PDF Downloads 224 | 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 231 | PDF Downloads 271 | 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 389 | PDF Downloads 210 | 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 390 | PDF Downloads 253 | 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 312 | PDF Downloads 289 Presentation Downloads 122 | 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 307 | PDF Downloads 267 | 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 314 | PDF Downloads 242 | 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 572 | PDF Downloads 273 | 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 305 | PDF Downloads 251 | 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 230 | PDF Downloads 205 | 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 240 | PDF Downloads 185 | 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 332 | PDF Downloads 260 | 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 334 | PDF Downloads 325 | 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 256 | PDF Downloads 176 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4212
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PHM-Based Modeling for Cyberattack Classifier Performance

Priscila Silva
Abstract 214 | PDF Downloads 216 | 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 237 | PDF Downloads 219 | 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 282 | PDF Downloads 219 | 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 335 | PDF Downloads 203 | 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 863 | PDF Downloads 591 | 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 430 | PDF Downloads 246 | 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 332 | PDF Downloads 235 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.3871
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