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

Published: 2026-07-05

Technical Papers

Bayesian CNN-LSTM for Battery State of Health (SoH) Estimation under Randomized Usage Conditions

Saurabh Jaywant Desai, Muralikrishan Ramanujam, Venkataramana Runkana
Abstract 187 | PDF Downloads 130 | DOI https://doi.org/10.36001/ijphm.2026.v17i2.4743
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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 354 | PDF Downloads 239 | 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 132 | PDF Downloads 54 | 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 291 | PDF Downloads 103 | DOI https://doi.org/10.36001/ijphm.2026.v17i2.4804
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Dual-Channel Acoustic Temporal–Spectral Representation and Noise-Perturbation Learning for Mining Conveyor Fault Diagnosis

Zhenyu Wang, Taixiang Li
Abstract 97 | PDF Downloads 44 | DOI https://doi.org/10.36001/ijphm.2026.v17i2.4841
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