Vol. 17 No. 2 (2026): International Journal of Prognostics and Health Management

Published: 2026-07-05

Technical Papers

A Hybrid Particle Filter-Weibull Approach for Probabilistic End-of-life Prediction of Industrial Machines Using Vibration Data

Nagesh Dewangan, Amiya Ranjan Mohanty
Abstract 261 | PDF Downloads 162 | DOI https://doi.org/10.36001/ijphm.2026.v17i2.4735
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Bayesian CNN-LSTM for Battery State of Health (SoH) Estimation under Randomized Usage Conditions

Saurabh Jaywant Desai, Muralikrishan Ramanujam, Venkataramana Runkana
Abstract 396 | PDF Downloads 259 | DOI https://doi.org/10.36001/ijphm.2026.v17i2.4743
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Regularization of Divergent Series via Classical Summability Methods with Applications to Reliability and Engineering Systems

Suresh Kumar Sahani, Kameshwar Sahani, Aashiq Mahato, Rishav Jha
Abstract 37 | PDF Downloads 28 | DOI https://doi.org/10.36001/ijphm.2026.v17i2.4750
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Physics-Informed Multi-Scale Network with Loss-Guided Curriculum Learning for Robust Fault Diagnosis

Panfeng Bao, Wenjun Yi, Yue Zhu, Yufeng Shen, Haotian Peng
Abstract 517 | PDF Downloads 443 | DOI https://doi.org/10.36001/ijphm.2026.v17i2.4766
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Data-Driven Fault Diagnosis of Rolling Bearings Using Neural Networks Optimized via Bayesian, Particle Swarm, and Genetic Algorithm Methods with Time–Frequency Features

Khoualdia Kaaïs, Khoualdia Tarek, Mourad Nahal
Abstract 318 | PDF Downloads 186 | DOI https://doi.org/10.36001/ijphm.2026.v17i2.4768
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Remaining Useful Life Prediction across Datasets via Semi-Supervised Domain Adaptation

Gengyu Li, Takehisa Yairi
Abstract 557 | PDF Downloads 244 | DOI https://doi.org/10.36001/ijphm.2026.v17i2.4804
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Estimating Sufficient Amount of Training Data for Data-Driven Fault Diagnosis

Moritz Neu, Marcel Braig, Fabian Mauthe, Peter Zeiler
Abstract 79 | PDF Downloads 35 | DOI https://doi.org/10.36001/ijphm.2026.v17i2.4834
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Multiscale Ordinal Complexity Analysis for Wind Turbine Bearing Fault Diagnosis

Paulo R. L. Almeida, Thyago L. V. Lima, Alisson V. Brito, Abel C. Lima Filho
Abstract 203 | PDF Downloads 154 | DOI https://doi.org/10.36001/ijphm.2026.v17i2.4835
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Dual-Channel Acoustic Temporal–Spectral Representation and Noise-Perturbation Learning for Mining Conveyor Fault Diagnosis

Zhenyu Wang, Taixiang Li
Abstract 284 | PDF Downloads 188 | DOI https://doi.org/10.36001/ijphm.2026.v17i2.4841
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Channel-Attentive Temporal Convolutional Networks (CA-TCN) for Interpretable Fault Diagnosis in the Tennessee Eastman Process

Pratyush Kumar Pal, Sumona Ray, Narottam Behera, Somnath Chowdhury, Abhiram Hens, Sandip Kumar Lahiri
Abstract 10 | PDF Downloads 8 | DOI https://doi.org/10.36001/ijphm.2026.v17i2.4859
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Monotonic Latent Manifold Bayesian Inference for Robust Industrial Predictive Maintenance

Oyetayo Oyebisi
Abstract 216 | PDF Downloads 122 | DOI https://doi.org/10.36001/ijphm.2026.v17i2.4874
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Simulation-Based Fault Detection and Diagnosis for Electric Servomotor Control Rod Drives in BWRX-300

Tran C.H. Nguyen, Ark Ifeanyi, Daniel Dos Santos, Nicholas Fullilove, Abhinav Saxena, Jamie Coble
Abstract 10 | PDF Downloads 11 | DOI https://doi.org/10.36001/ijphm.2026.v17i2.4974
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Development of an Integrated Digital Twin Framework for Online Monitoring and Anomaly Detection

Lauren Bailey, Jamie Coble, Xingang Zhao
Abstract 49 | PDF Downloads 30 | DOI https://doi.org/10.36001/ijphm.2026.v17i2.5076
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A Systematic Review of AI-Based PHM Frameworks for Ship Systems and Equipment

Luis Fernando Mendoza Cardona, Joan Suarez, Edwin Puertas, Edwin Paipa-Sanabria, Juan C Martinez-Santos
Abstract 17 | PDF Downloads 14 | DOI https://doi.org/10.36001/ijphm.2026.v17i2.4764
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