Degradation prognostics of aerial bundled cables based on multi-sensor data fusion-Reference-Cited by-同舟云学术

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Degradation prognostics of aerial bundled cables based on multi-sensor data fusion

Published:2024-02-28 Issue: Volume: Page:1-19
ISSN:1058-9759
Container-title:Nondestructive Testing and Evaluation
language:en
Short-container-title:Nondestructive Testing and Evaluation

Author:

Hassan Moez Ul¹,Khan Tariq¹,Zafar Taimoor²,Yousuf Waleed Bin¹,Shah Aqueel³

Affiliation:

1. Department of Electronics and Power Engineering, National University of Sciences and Technology (NUST), Karachi, Pakistan

2. Department of Electrical Engineering, Bahria University, Karachi, Pakistan

3. Department of Industrial and Manufacturing Engineering, National University of Sciences and Technology (NUST), Karachi, Pakistan

Funder

Ignite National Technology Fund

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10589759.2024.2323703

Reference43 articles.

1. Remaining useful life prediction of Aerial Bundled cables in coastal areas using Thermal and Corrosion Degradation models

2. Degradation Rate Prediction of Bridges Using Historical Vibration Data

3. Aero structure damage growth prediction using age-based state transition models

4. Prognosis study of live aerial bundled cables in coastal areas using historical super-heterodyne ultrasonic listening data

5. Hybrid resampling scheme for particle filter‐based inversion

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1. An intelligent hybrid deep learning model for rolling bearing remaining useful life prediction;Nondestructive Testing and Evaluation;2024-07-31

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