Vol. 13 No. 1 (2021): Proceedings of the Annual Conference of the PHM Society 2021

ISBN – 978-1-936263-35-6

Edited by:

Chetan Kulkarni, Abhinav Saxena, and Felipe Viana

Published: 2021-11-24

Technical Research Papers

A Data Management Framework & UAV Simulation Testbed for the Study of System-level Prognostics Technologies

Timothy Darrah, Jeremy Frank, Marcos Quinones-Grueiro, Gautam Biswas
Abstract 1043 | PDF Downloads 747 | DOI https://doi.org/10.36001/phmconf.2021.v13i1.3030
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A Particle-Swarm-Optimization-Based Approach for the State-of-Charge Estimation of an Electric Vehicle When Driven Under Real Conditions

Aramis Perez, Francisco Jaramillo, Cesar Baeza, Martin Valderrama, Vanessa Quintero, Marcos Orchard
Abstract 1268 | PDF Downloads 653 | DOI https://doi.org/10.36001/phmconf.2021.v13i1.3013
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A Study of Deep Neural Networks Transfer Learning For Fault Diagnosis Applications

Michael Franco-Garcia, Nithya Nalluri, Alex Benasutti, Larry Pearlstein, Mohammed Alabsi
Abstract 762 | PDF Downloads 637 | DOI https://doi.org/10.36001/phmconf.2021.v13i1.2996
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Active Learning Framework for Time-Series Classification of Vibration and Industrial Process Data

Sergio Martin del Campo Barraza, William Lindskog, Davide Badalotti, Oskar Liew, Arash Toyser
Abstract 955 | PDF Downloads 1144 | DOI https://doi.org/10.36001/phmconf.2021.v13i1.3059
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Aligning the Production Planning and Control Process with Prognostics and Health Management

Kevin Wesendrup, Bernd Hellingrath
Abstract 792 | PDF Downloads 684 | DOI https://doi.org/10.36001/phmconf.2021.v13i1.2990
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An Application Based Comparison of Statistical Versus Deep Learning Approaches to Reciprocating Compressor Valve Condition Monitoring

Jacob Chesnes, Jason Kolodziej
Abstract 643 | PDF Downloads 533 | DOI https://doi.org/10.36001/phmconf.2021.v13i1.3081
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An End-to-End Learning Framework for Early Prediction of Battery Capacity Trajectory

Jinqiang Liu, Adam Thelen, Chao Hu, Xiao-Guang Yang
Abstract 804 | PDF Downloads 799 | DOI https://doi.org/10.36001/phmconf.2021.v13i1.3053
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An Offline Deep Reinforcement Learning for Maintenance Decision-Making

Hamed Khorasgani, Haiyan Wang, Chetan Gupta, Ahmed Farahat
Abstract 599 | PDF Downloads 557 | DOI https://doi.org/10.36001/phmconf.2021.v13i1.3009
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Analysis of the Deployment Strategies of Reinforcement Learning Controllers for Complex Dynamic Systems

Ibrahim Ahmed, Marcos Quinones Grueiro, Gautam Biswas
Abstract 733 | PDF Downloads 463 | DOI https://doi.org/10.36001/phmconf.2021.v13i1.3020
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Autoencoder Based Anomaly Detector for Gear Tooth Bending Fatigue Cracks

Adrian Hood, Christopher Valant, Patrick Horney, Allen Jones, Jared S. Lantner, Josiah Martuscello, Nenad Nenadic
Abstract 722 | PDF Downloads 452 | DOI https://doi.org/10.36001/phmconf.2021.v13i1.3003
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Bayesian Network Based Causal Map Generation and Root Cause Identification in Complex Industrial Processes

Kalyani Zope, Tanmaya Singhal, Sri Harsha Nistala, Venkataramana Runkana
Abstract 891 | PDF Downloads 859 | DOI https://doi.org/10.36001/phmconf.2021.v13i1.3050
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Brinell Fault Injection to Enable Development of a Wheel Bearing Fault Monitoring System for Automobiles

Graeme Garner, Samba Drame, Xinyu Du, Hossein Sadjadi
Abstract 844 | PDF Downloads 443 | DOI https://doi.org/10.36001/phmconf.2021.v13i1.2986
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Collaborative Prognostics for Machine Fleets Using a Novel Federated Baseline Learner

Vibhor Pandhare, Xiaodong Jia, Jay Lee
Abstract 924 | PDF Downloads 757 | DOI https://doi.org/10.36001/phmconf.2021.v13i1.2989
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Condition Monitoring of Wind Turbines and Extraction of Healthy Training Data using an Ensemble of Advanced Statistical Anomaly Detection Models

Xavier Chesterman, Timothy Verstraeten, Pieter-Jan Daems, Ann Nowé, Jan Helsen
Abstract 898 | PDF Downloads 737 | DOI https://doi.org/10.36001/phmconf.2021.v13i1.2980
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Data-Driven Diagnostics and Prognostics for Modelling the State of Health of Maritime Battery Systems – a Review

Erik Vanem, Øystein Åsheim Alnes, James Lam
Abstract 710 | PDF Downloads 859 | DOI https://doi.org/10.36001/phmconf.2021.v13i1.2972
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Deep Unsupervised Transfer Learning for Health Status Prediction of a Fleet of Wind Turbines with Unbalanced Data

Dandan Peng, Chenyu Liu, Wim Desmet, Konstantinos Gryllias
Abstract 857 | PDF Downloads 563 | DOI https://doi.org/10.36001/phmconf.2021.v13i1.3069
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Degradation Detection for Internal Gear Pumps using Pressure Reduction Time Maps

Kurt Pichler, Rainer Haas, Veronika Putz, Christian Kastl
Abstract 702 | PDF Downloads 585 | DOI https://doi.org/10.36001/phmconf.2021.v13i1.3014
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Diagnosing Systems through Approximated Information

Alexander Diedrich, Oliver Niggemann
Abstract 565 | PDF Downloads 483 | DOI https://doi.org/10.36001/phmconf.2021.v13i1.2983
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Digital Twin-Driven Process and Equipment FMECA Generation for Smart Manufacturing Applications

Sudipto Ghoshal, Jay Meyer, Venkat Malepati, Caleb Hudson, Somnath Deb, Andrew Hess, Feraidoon Zahiri, Gregory Sutton
Abstract 1667 | PDF Downloads 2858 | DOI https://doi.org/10.36001/phmconf.2021.v13i1.3085
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Electric Power Steering Power Circuit Health Assessment and Mitigation Strategy

Wen-Chiao Lin, Graeme Garner, Yat-Chung Tang, Arash Mohtat
Abstract 639 | PDF Downloads 508 | DOI https://doi.org/10.36001/phmconf.2021.v13i1.2997
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Enhancing the Diagnostic Performance of Condition Based Maintenance Through the Fusion of Sensor with Maintenance Data

Henrik Simon, Sascha Schoenhof
Abstract 1042 | PDF Downloads 1907 | DOI https://doi.org/10.36001/phmconf.2021.v13i1.2981
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Estimating Dynamic Cutting Forces of Machine Tools from Measured Vibrations using Sparse Regression with Nonlinear Function Basis

Yongzhi Qu, Gregory W. Vogl
Abstract 691 | PDF Downloads 653 | DOI https://doi.org/10.36001/phmconf.2021.v13i1.3071
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Evaluating and Optimizing Analytic Signals

Shashvat Prakash, Antoni Brzoska
Abstract 4509 | PDF Downloads 1703 | DOI https://doi.org/10.36001/phmconf.2021.v13i1.2968
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Explainable Machinery Faults Prediction Using Ensemble Tree Classifiers: Bagging or Boosting?

Somayeh Bakkhtiari Ramezani, Amin Amirlatifi, Thomas Kirby, Maria Seale, Shahram Rahimi
Abstract 659 | PDF Downloads 483 | DOI https://doi.org/10.36001/phmconf.2021.v13i1.3063
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Exploring Cloud Assisted Tiny Machine Learning Application Patterns for PHM Scenarios

Xingyu Zhou, Zhuangwei Kang, Robert Canady, Shunxing Bao, Daniel Allen Balasubramanian, Aniruddha Gokhale
Abstract 1184 | PDF Downloads 701 | DOI https://doi.org/10.36001/phmconf.2021.v13i1.3054
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Fault Detection in a Physcially Redundant MEMS Accelerometer Array

Daniel Watson, Karl Reichard
Abstract 664 | PDF Downloads 472 | DOI https://doi.org/10.36001/phmconf.2021.v13i1.2999
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Fault Detection via Sparsity-based Blind Filtering on Experimental Vibration Signals

Kayacan Kestel, Cédric Peeters, Jérôme Antoni, Jan Helsen
Abstract 658 | PDF Downloads 451 | DOI https://doi.org/10.36001/phmconf.2021.v13i1.3000
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Health Indicators to Estimate Health of Magnetic Wheel Encoder

Jasmeet Singh Ladoiye, Douglas Spry, Milad Jalali
Abstract 429 | PDF Downloads 675 | DOI https://doi.org/10.36001/phmconf.2021.v13i1.2979
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Interpretation of Deep Learning Models in Bearing Fault Diagnosis

Menno Liefstingh, Cees Taal, Sebastián Echeverri Restrepo, Alireza Azarfar
Abstract 1438 | PDF Downloads 696 | DOI https://doi.org/10.36001/phmconf.2021.v13i1.3047
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Learning an Optimal Operational Strategy for Service Life Extension of Gear Wheels with Double Deep Q Networks

Mark Henss, Yvonne Gretzinger, Tamer Tevetoglu, Maximilian Posner, Bernd Bertsche
Abstract 525 | PDF Downloads 406 | DOI https://doi.org/10.36001/phmconf.2021.v13i1.2978
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Li-ion Battery Aging with Hybrid Physics-Informed Neural Networks and Fleet-wide Data

Renato G. Nascimento, Matteo Corbetta, Chetan S. Kulkarni, Felipe A. C. Viana
Abstract 1477 | PDF Downloads 1250 | DOI https://doi.org/10.36001/phmconf.2021.v13i1.2998
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Methodology on Establishing Multivariate Failure Thresholds for Improved Remaining Useful Life Prediction in PHM

Wenzhe Li, Xiaodong Jia, Yuan-Ming Hsu, Youwen Liu, Jay Lee
Abstract 836 | PDF Downloads 569 | DOI https://doi.org/10.36001/phmconf.2021.v13i1.3007
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Methods to Improve the Prognostics of Time-to-Failure Models

Edward Baumann, Pedro A. Forero, Gray Selby, Charles Hsu
Abstract 668 | PDF Downloads 487 | DOI https://doi.org/10.36001/phmconf.2021.v13i1.3001
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Modeling Health Status Identification in a Gas Turbine System: Three-Class Classification Approaches

Catherine Cheung, Calista Biondic, Zouhair Hamaimou, Julio J. Valdes
Abstract 434 | PDF Downloads 363 | DOI https://doi.org/10.36001/phmconf.2021.v13i1.3052
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Modeling the Business Value of a Predictive Maintenance System using Monte Carlo Simulation

Graeme Garner, Paola Santanna, Hossein Sadjadi
Abstract 1752 | PDF Downloads 663 | DOI https://doi.org/10.36001/phmconf.2021.v13i1.2985
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Model-based Damage Detection through Physics Guided Learning

Ali I. Ozdagli, Xenofon Koutsoukos
Abstract 997 | PDF Downloads 787 | DOI https://doi.org/10.36001/phmconf.2021.v13i1.3012
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On Adversarial Vulnerability of PHM algorithms – An initial Study

Weizhong Yan, Zhaoyuan Yang, Jianwei Qiu
Abstract 471 | PDF Downloads 359 | DOI https://doi.org/10.36001/phmconf.2021.v13i1.3057
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Prognostics and Secure Health Management of Electronic Systems in a Zero-Trust Environment

Varun Khemani, Michael H. Azarian, Michael G. Pecht
Abstract 762 | PDF Downloads 630 | DOI https://doi.org/10.36001/phmconf.2021.v13i1.3006
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Remaining Useful Life Calculation of a Component using Hybrid Fatigue Crack Model

Eric Bechhoefer, Lei Xiao, Xinghui Zhang
Abstract 817 | PDF Downloads 611 | DOI https://doi.org/10.36001/phmconf.2021.v13i1.3062
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Remaining Useful Life Estimation using Event Data

Mahbubul Alam, Laleh Jalali, Dipanjan Ghosh, Ahmed Farahat, Chetan Gupta
Abstract 923 | PDF Downloads 599 | DOI https://doi.org/10.36001/phmconf.2021.v13i1.3055
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Safety Diagnostics and Degraded Operational Modes for Off-road Unmanned Ground Combat Vehicles

Naveen Aditya Verma Dantuluri, Pierluigi Pisu
Abstract 619 | PDF Downloads 478 | DOI https://doi.org/10.36001/phmconf.2021.v13i1.3038
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Suspension Fault Diagnostics Using Vehicle Pitch and Roll Models

XinyuDu, Lichao Mai, Hossein Sadjadi
Abstract 726 | PDF Downloads 725 | DOI https://doi.org/10.36001/phmconf.2021.v13i1.2975
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Data Challenge Papers

Inception Based Deep Convolutional Neural Network for Remaining Useful Life Estimation of Turbofan Engines

Nathaniel DeVol, Christopher Saldana, Katherine Fu
Abstract 1072 | PDF Downloads 871 | DOI https://doi.org/10.36001/phmconf.2021.v13i1.3109
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Remaining Useful Life Prediction of Aircraft Engines with Variable Length Input Sequences

Andreas Lövberg
Abstract 2611 | PDF Downloads 1356 | DOI https://doi.org/10.36001/phmconf.2021.v13i1.3108
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A Stacked Deep Convolutional Neural Network to Predict the Remaining Useful Life of a Turbofan Engine

David Solís-Martín, Juan Galán-Páez, Joaquín Borrego-Díaz
Abstract 913 | PDF Downloads 792 | DOI https://doi.org/10.36001/phmconf.2021.v13i1.3110
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Poster Presentations

Building an Air Turbine Conditional Anomaly Detection Approach for Wave Power Plants

Jose Ignacio Aizpurua, Markel Penalba, Natalia Kirillova, Illart Alcorta, Jon Lekube, Dorleta Marina
Abstract 422 | PDF Downloads 305 | DOI https://doi.org/10.36001/phmconf.2021.v13i1.3028
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Enhanced Visualization of Production Systems Concepts and Simulation Data for the Smart/Digital Factory

James Ong, Anand Paul, Daniel Tuohy, Feraidoon Zahiri, Gregory Sutton
Abstract 2865 | PDF Downloads 302 | DOI https://doi.org/10.36001/phmconf.2021.v13i1.3060
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Strategies to Improve Robustness of a Health Monitoring System, with Application to Brake Rotors

Hamed Kazemi, Graeme Garner, Samba Drame, Xinyu Du, Hossein Sadjadi
Abstract 730 | PDF Downloads 329 | DOI https://doi.org/10.36001/phmconf.2021.v13i1.2988
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