Vol. 17 No. 1 (2026): International Journal of Prognostics and Health Management

Published: 2025-12-28

Technical Papers

SHAP-Based Feature Selection with a Hybrid Convolutional and Recurrent Deep Learning Framework for Remaining Useful Life Prediction of Aero-Engines

Naouel Ouafek, Tarek Berghout, Samira Abderrezek, Abdelhabib Bourouis
Abstract 417 | PDF Downloads 305 | DOI https://doi.org/10.36001/ijphm.2026.v17i1.4693
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ISA-PHM – a Standardized Format for Storing and Utilizing Meta-data of Diagnostic and Prognostic Tests

Tiedo Tinga, Luc S. Keizers, Wouter van Riel, Nathan M. Houwaart, Jurjen R. Helmus
Abstract 233 | PDF Downloads 119 | DOI https://doi.org/10.36001/ijphm.2026.v17i1.4748
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A Compact CNN-Transformer Model for Robust Fault Diagnosis in Large-Scale Chemical Processes

Pratyush Kumar Pal, Sumona Ray, Narottam Behera, Somnath Chowdhury, Abhiram Hens, Sandip Kumar Lahiri
Abstract 37 | PDF Downloads 23 | DOI https://doi.org/10.36001/ijphm.2026.v17i1.4744
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Turbofan Engine Remaining Useful Life Prediction based on Physics-aware Hybrid Framework and Fatigue Cycles

Slawomir Szrama
Abstract 7 | PDF Downloads 9 | DOI https://doi.org/10.36001/ijphm.2026.v17i1.4733
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Remaining Useful Life Estimation for Aircraft Engines with Risk-Aware Prediction Intervals via Conformalized Quantile Regression

Colby Robinson
Abstract 202 | PDF Downloads 90 | DOI https://doi.org/10.36001/ijphm.2026.v17i1.4724
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Decoding Breast Cancer Mutational Signatures

Omji Porwal, Kamal Upreti, Pravin R. Kshirsagar, Sarika Panwar, Anurag Sharma, Ganesh V. Radhakrishnan, Rituraj Jain
Abstract 196 | PDF Downloads 119 | DOI https://doi.org/10.36001/ijphm.2026.v17i1.4714
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From Corrective and Preventive Maintenance to Prognostics

Stamatis Apeiranthitis, Christos Drosos, Avraam Chatzopoulos, Michail Papoutsidakis, Evangelos Pallis
Abstract 409 | PDF Downloads 283 | DOI https://doi.org/10.36001/ijphm.2026.v17i1.4708
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Enhancing Wagon Fault Detection Using Acoustic Signals and Deep Transfer Learning

Jordana Reis, Rhuan Garcia, Flávio Varejão
Abstract 185 | PDF Downloads 129 | DOI https://doi.org/10.36001/ijphm.2026.v17i1.4707
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Quasi-Instantaneous Battery End-of-Discharge Time Prognosis with Non-Stationary Autoregressive Exogenous Inputs

David Acuña-Ureta, Diego Fuentealba-Secul
Abstract 242 | PDF Downloads 196 | DOI https://doi.org/10.36001/ijphm.2026.v17i1.4704
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A Hydraulic Actuator Condition Monitoring Dataset for Machine Learning

Stephen Adams, Floyd Steele, Nate Brown, Kevin Farinholt, Peter Beling, Sherwood Polter
Abstract 436 | PDF Downloads 373 | DOI https://doi.org/10.36001/ijphm.2026.v17i1.4337
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Robust Baselines and Probability Calibration for TPM-Oriented Predictive Maintenance

José Roberto Dale Luche, Blaha Gregory Correia dos Santos Goussain, Claudia Regina de Freitas
Abstract 145 | PDF Downloads 128 | DOI https://doi.org/10.36001/ijphm.2026.v17i1.4659
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RUL Estimation of Rolling Element Bearings Using a Hybrid Wavelet Packet Decomposition–Recursive Feature Elimination–Adaptive Neuro Fuzzy Inference System Framework

Abdel Wahhab Lourari, Tarak Benhedjouh
Abstract 435 | PDF Downloads 374 | DOI https://doi.org/10.36001/ijphm.2026.v17i1.4634
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Interpolative Bayesian Formulation to Improve Transfer Learning for Anomaly Detection in Rotating Machinery

Jia Liang, Rajesh Gupta, Huanyi Shui, Devesh Upadhyay, Eric Darve
Abstract 215 | PDF Downloads 167 | DOI https://doi.org/10.36001/ijphm.2026.v17i1.4626
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Fault-Tolerant Control for Four-Wheels Independently Actuated Electric Vehicles

Farah Shalhoub, Majd Saied, Clovis Francis, Hussein Termous, Hassan Shraim
Abstract 605 | PDF Downloads 503 | DOI https://doi.org/10.36001/ijphm.2026.v17i1.4622
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A Low-Cost, Scalable Approach for Compressor Fault Monitoring Using Deep Learning on Acoustic Signals

Sumana Roy, Pratyush Kumar Pal, Narottam Behera, Sandip Kumar Lahiri
Abstract 301 | PDF Downloads 260 | DOI https://doi.org/10.36001/ijphm.2026.v17i1.4585
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Artificial Intelligence Technologies for Aircraft Maintenance

Dmitry Pavlyuk, Iyad Alomar
Abstract 4573 | PDF Downloads 3079 | DOI https://doi.org/10.36001/ijphm.2026.v17i1.4567
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A Novel Taxonomy and Approaches for the Identification of Frequently Occurring Regularities in Degradation Processes of Engineering Systems

Fabian Mauthe, Christopher Braun, Julian Raible, Peter Zeiler, Marco F. Huber
Abstract 657 | PDF Downloads 442 | DOI https://doi.org/10.36001/ijphm.2026.v17i1.4411
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