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 2160 | PDF Downloads 591 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.3973

A Gamma Process Based Degradation Model with Fractional Gaussian Noise

Xiangyu Wang, Xiaopeng Xi, Marcos E. Orchard
Abstract 1704 | PDF Downloads 479 Presentation Downloads 291 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4022

A Process for Real-Time Monitoring of a Turboshaft Engine

Eric Bechhoefer, Fatemeh Hajimohammadali
Abstract 1753 | PDF Downloads 605 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.3929

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 1345 | PDF Downloads 446 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.3909

Assessing Aircraft Engine Wear through Simulation Techniques

Abdellah Madane, Jérôme Lacaille, Florent Forest, Hanane Azzag, Mustapha Lebbah
Abstract 1597 | PDF Downloads 423 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.3924

Assumption-based Design of Hybrid Diagnosis Systems

Daniel Jung, Mattias Krysander
Abstract 1870 | PDF Downloads 585 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4141

Comparing Feature and Trajectory-Based Remaining Useful Life Modeling of Electrical Resistance Heating Wires

Simon Mählkvist, Wilhelm Söderkvist Vermelin, Thomas Helander, Konstantinos Kyprianidis
Abstract 1226 | PDF Downloads 440 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.3913

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 1614 | PDF Downloads 557 Presentation Downloads 241 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.3898

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 1256 | PDF Downloads 399 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.3899

Data-Driven Remaining Useful Life Estimation

Ark Ifeanyi, Mattia Zanotelli, Jamie Coble
Abstract 1695 | PDF Downloads 610 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4071

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 1269 | PDF Downloads 410 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4061

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 1988 | PDF Downloads 381 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.3971

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 1404 | PDF Downloads 432 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4146

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 1243 | PDF Downloads 369 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4116

Exploring the Nexus between Sensor Reliability and System Performance

Deepak Tripathy, Rahul Gottumukkala, Derek Kim
Abstract 1335 | PDF Downloads 376 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.3888

Extracting Quantitative Insights from electrochemical impedance spectra using Statistical Methods

Pavle Boskoski, Benjamin Königshofer, Gjorgji Nusev, Aljaž Ostrež, Vanja Subotić
Abstract 1246 | PDF Downloads 460 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4057

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 1802 | PDF Downloads 535 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.3918

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 1320 | PDF Downloads 746 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4078

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 2218 | PDF Downloads 605 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4080

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 1266 | PDF Downloads 438 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4156

Physics and Data Collaborative Root Cause Analysis

Hao Huang, Tapan Shah, John Karigiannis, Scott Evans
Abstract 1750 | PDF Downloads 500 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.3881

Physics-Informed Data-Driven Approaches to State of Health Prediction of Maritime Battery Systems

Azzeddine Bakdi, Maximilian Bruch, Qin Liang, Erik Vanem
Abstract 1470 | PDF Downloads 408 Presentation Downloads 217 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4135

SPIKE-Dx

Chetan Kulkarni, Johann Schumann, Anupa Bajwa
Abstract 1641 | PDF Downloads 423 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4154

Unsupervised Fault Detection in a Controlled Conical Tank

Joaquín Ortega, Camilo Ramírez, Tomás Rojas, Ferhat Tamssaouet, Marcos Orchard, Jorge Silva
Abstract 1691 | PDF Downloads 341 Presentation Downloads 171 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4137

Use of Tach from Vibration to Estimate Bearing Spall Length

Eric Bechhoefer, Omri Matania, Jacob Bortman
Abstract 1760 | PDF Downloads 407 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.3928

Zero-shot Video Change Detection for Real-life Industrial Applications

Mahbubul Alam, Huimin Zhuge, Teresa Gonzalez, Ahmed Farahat, Song Wang, Chetan Gupta
Abstract 1357 | PDF Downloads 308 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.3903

Industry Experience Papers

Diagnostics-LLaVA

Aman Kumar, Mahbubul Alam, Ahmed Farahat, Maheshjabu Somineni, Chetan Gupta
Abstract 1724 | PDF Downloads 441 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4147

Health Assessment of Pump Stations using Time Series Anomaly Detection

Abhishek Murthy, Babak Afshin-Pour, Willem Malloy, Vasileios Geroulas
Abstract 1320 | PDF Downloads 515 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.3870

Investigating Model Form Error Estimation for Sparse Data

Kyle D. Neal, Mohammad Khalil, Teresa Portone
Abstract 1140 | PDF Downloads 388 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4081

Large Language Model Agents as Prognostics and Health Management Copilots

Sarah Lukens, Lucas H. McCabe, Joshua Gen, Asma Ali
Abstract 3519 | PDF Downloads 1402 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.3906

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 1286 | PDF Downloads 317 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4148

Towards a Fault Management Analysis Tool for Model Centric Systems Engineering

Ksenia Kolcio, Maurice Prather, David Wagner, Maged Elaasar, Narek Shougarian
Abstract 1285 | PDF Downloads 346 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.3895

Data Challenge Papers

Assessing Helicopter Turbine Engine Health: A Simple Yet Robust Probabilistic Approach

Peihua Han, Qin Liang, Erik Vanem, Knut Erik Knutsen, Houxiang Zhang
Abstract 1528 | PDF Downloads 350 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4186

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 1245 | PDF Downloads 534 Presentation Downloads 255 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4191

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 1320 | PDF Downloads 497 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4193

Doctoral Symposium Summaries

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 1283 | PDF Downloads 547 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4180

Adaptable and Generic Methods for Monitoring and Prognostics of Energy Assets

Mohammad Badfar, Ratna Babu Chinnam, Murat Yildirim
Abstract 1167 | PDF Downloads 412 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4216

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 1280 | PDF Downloads 311 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4212

Poster Presentations

Bearing Fault Detection in Conveyor Belt Drums Using Machine Learning

Victor Bauler, Júlio Cordioli, Danilo Silva, Danilo Braga
Abstract 1526 | PDF Downloads 409 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.4065

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 1374 | PDF Downloads 487 | DOI https://doi.org/10.36001/phmconf.2024.v16i1.3871