Vol. 15 No. 1 (2024): International Journal of Prognostics and Health Management

Published: 2024-01-16

Technical Papers

Post-clustering Prioritization Framework for Autonomous Decision Making in the Absence of Ground Truth via Hypothetical Probing

Wolfgang Fink, Karm Al Hajhog
Abstract 414 | PDF Downloads 247 | DOI https://doi.org/10.36001/ijphm.2024.v15i1.3206
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An Improved Fault Detection Method based on HSMM

Lestari Handayani, VRIGNAT VRIGNAT, Frédéric Kratz
Abstract 329 | PDF Downloads 314 | DOI https://doi.org/10.36001/ijphm.2024.v15i1.3585
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A Generic Machine Learning Framework for Fully-Unsupervised Anomaly Detection with Contaminated Data

Markus Ulmer, Jannik Zgraggen, Lilach Goren Huber
Abstract 398 | PDF Downloads 405 | DOI https://doi.org/10.36001/ijphm.2024.v15i1.3589
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Chatter Identification in Milling of Titanium Alloy Using Machine Learning Approaches with Non-Linear Features of Cutting Force and Vibration Signatures

Viswajith S Nair, Rameshkumar K, Saravanamurugan S
Abstract 423 | PDF Downloads 324 | DOI https://doi.org/10.36001/ijphm.2024.v15i1.3590
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Prognostics Aware Control Design for Extended Remaining Useful Life

Dr. Julien Thuillier, Mayank Shekhar Jha, Sebastien Le Martelot, Dr. Didier Theilliol
Abstract 335 | PDF Downloads 322 | DOI https://doi.org/10.36001/ijphm.2024.v15i1.3789
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An ANFIS-based Framework for the Prediction of Bearing’s Remaining Useful Life

Abdel wahhab Lourari, Tarak Benkedjouh, Bilal El Yousfi, Abdenour Soualhi
Abstract 441 | PDF Downloads 493 | DOI https://doi.org/10.36001/ijphm.2024.v15i1.3791
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A Deep Learning Approach to Within-Bank Fault Detection and Diagnostics of Fine Motion Control Rod Drives

Ark Oluwatobi Ifeanyi, Jamie B. Coble, Abhinav Saxena
Abstract 333 | PDF Downloads 318 | DOI https://doi.org/10.36001/ijphm.2024.v15i1.3792
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Bearing Fault Diagnosis under Varying Work Conditions Based on Synchrosqueezing Transform, Random Projection, and Convolutional Neural Networks

Boubker Najdi, Mohammed Benbrahim, Mohammed Nabil Kabbaj
Abstract 426 | PDF Downloads 350 | DOI https://doi.org/10.36001/ijphm.2024.v15i1.3799
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A Preprocessing and Modeling Approach for Gearbox Pitting Severity Prediction under Unseen Operating Conditions and Fault Severities

Rik Vaerenberg, Douw Marx, Seyed Ali Hosseinli, Fabrizio De Fabritiis, Hao Wen, Rui Zhu, Konstantinos Gryllias
Abstract 261 | PDF Downloads 191 | DOI https://doi.org/10.36001/ijphm.2024.v15i1.3808
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A Data-Driven Methodology to Assess Raw Materials Impact on Manufacturing Systems Breakdowns

Maha Ben Ayed, Moncef Soualhi, Raouf Ketata, Nicolas Mairot, Sylvian Giampiccolo, Noureddine Zerhouni
Abstract 276 | PDF Downloads 218 | DOI https://doi.org/10.36001/ijphm.2024.v15i1.3818
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Combining Wavelets and AR Identification for Condition Monitoring of Electric-cam Mechanisms Using PLCopen Readings of Motor Torque

Roberto Diversi, Nicolò Speciale, Matteo Barbieri
Abstract 262 | PDF Downloads 260 | DOI https://doi.org/10.36001/ijphm.2024.v15i1.3826
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A Multi-Output Deep Learning Model for Fault Diagnosis Based on Time-Series Data

Ahmed Al-Ajeli, Eman S. Alshamery
Abstract 164 | PDF Downloads 184 | DOI https://doi.org/10.36001/ijphm.2024.v15i1.3829
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