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Engine Failure Prediction on Large-Scale CMAPSS Data Using Hybrid Feature Selection and Imbalance-Aware Learning

Ahmad Junaid Abid Iqbal Abuzar Khan Ghassan Husnain Abdul-Rahim Ahmad Mohammed Al-Naeem

Computers, Materials & Continua2026，Vol.87Issue(4)：P.1485-1508,24.

Computers, Materials & Continua2026，Vol.87Issue(4)：P.1485-1508,24.DOI:10.32604/cmc.2025.073189

Engine Failure Prediction on Large-Scale CMAPSS Data Using Hybrid Feature Selection and Imbalance-Aware Learning

Ahmad Junaid ¹Abid Iqbal ²Abuzar Khan ¹Ghassan Husnain ¹Abdul-Rahim Ahmad ³Mohammed Al-Naeem⁴

作者信息

1. Department of Computer Science,CECOS University of IT and Emerging Sciences,Peshawar,25000,Pakistan
2. Department of Computer Engineering,College of Computer Sciences and Information Technology,King FaisalUniversity,Al Ahsa,31982,Saudi Arabia
3. Department of Information Systems,King Faisal University,Al-Hofuf,31982,Saudi Arabia
4. Department of Computer Networks Communications,CCSIT,King Faisal University,Al Ahsa,31982,Saudi Arabia
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摘要

关键词

Predictive maintenance/CMAPSS dataset/feature selection/class imbalance/LSTM-GRUhybrid model/interpretability/industrial deployment

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航空航天

引用本文复制引用

Ahmad Junaid,Abid Iqbal,Abuzar Khan,Ghassan Husnain,Abdul-Rahim Ahmad,Mohammed Al-Naeem..Engine Failure Prediction on Large-Scale CMAPSS Data Using Hybrid Feature Selection and Imbalance-Aware Learning[J].Computers, Materials & Continua,2026,87(4):P.1485-1508,24.

基金项目

supported by the Deanship of Scientific Research,Vice Presidency for Graduate Studies and Scientific Research,King Faisal University,Saudi Arabia Grant No.KFU253765. （）

Computers, Materials & Continua

ISSN：1546-2218

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