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 539 | PDF Downloads 288 | 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 384 | PDF Downloads 221 Presentation Downloads 109 | 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 346 | PDF Downloads 258 | 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 432 | PDF Downloads 277 | 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 566 | PDF Downloads 361 | 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 280 | PDF Downloads 192 | 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 350 | PDF Downloads 196 | 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 250 | PDF Downloads 237 | 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 410 | PDF Downloads 246 | 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 365 | PDF Downloads 227 | 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 253 | PDF Downloads 231 | 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 220 | PDF Downloads 203 | 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 317 | PDF Downloads 276 Presentation Downloads 98 | 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 308 | PDF Downloads 202 | 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 216 | PDF Downloads 208 | 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 328 | PDF Downloads 306 | 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 257 | PDF Downloads 191 | 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 486 | PDF Downloads 204 | 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 283 | PDF Downloads 212 | 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 233 | PDF Downloads 162 | 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 217 | PDF Downloads 164 | 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 251 | PDF Downloads 179 | 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 307 | PDF Downloads 239 | 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 213 | PDF Downloads 211 | 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 366 | PDF Downloads 231 | 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 279 | PDF Downloads 201 | 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 271 | PDF Downloads 264 | 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 631 | PDF Downloads 269 | 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 248 | PDF Downloads 183 | 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 371 | PDF Downloads 175 | 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 395 | PDF Downloads 233 | 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 310 | PDF Downloads 219 Presentation Downloads 86 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4135
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Presentation

SPIKE-Dx

Chetan Kulkarni, Johann Schumann, Anupa Bajwa
Abstract 322 | PDF Downloads 188 | 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 222 | PDF Downloads 187 | 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 383 | PDF Downloads 176 Presentation Downloads 72 | 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 365 | PDF Downloads 196 | 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 224 | PDF Downloads 179 | 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 387 | PDF Downloads 239 | 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 199 | PDF Downloads 148 | 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 188 | PDF Downloads 226 | 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 390 | PDF Downloads 224 | 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 208 | PDF Downloads 193 | 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 176 | PDF Downloads 166 | 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 1325 | PDF Downloads 603 | 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 224 | PDF Downloads 167 | 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 205 | PDF Downloads 139 | 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 191 | PDF Downloads 217 | 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 211 | PDF Downloads 180 | 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 210 | PDF Downloads 221 | 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 347 | PDF Downloads 179 | 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 354 | PDF Downloads 210 | 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 291 | PDF Downloads 241 Presentation Downloads 96 | 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 253 | PDF Downloads 213 | 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 269 | PDF Downloads 200 | 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 358 | PDF Downloads 213 | 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 268 | PDF Downloads 201 | 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 200 | PDF Downloads 158 | 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 211 | PDF Downloads 154 | 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 264 | PDF Downloads 200 | 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 290 | PDF Downloads 267 | 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 224 | PDF Downloads 147 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4212
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PHM-Based Modeling for Cyberattack Classifier Performance

Priscila Silva
Abstract 179 | PDF Downloads 169 | 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 210 | PDF Downloads 183 | 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 243 | PDF Downloads 181 | 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 301 | PDF Downloads 168 | 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 711 | PDF Downloads 473 | 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 373 | PDF Downloads 209 | 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 290 | PDF Downloads 191 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.3871
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