Remaining Useful Life Estimation of Turbofan Engines under Multiple Operational Conditions Using Machine Learning

AbstractPredicting the Remaining Useful Life (RUL) of turbofan jet engines is vital for implementing proactive Condition-Based Maintenance (CBM)... Keywords: Predictive Maintenance, Remaining Useful Life (RUL), NASA C-MAPSS Dataset, Turbofan Engine, Z-Score Normalization, Machine Learning.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-26
DOI
https://doi.org/10.5281/zenodo.23671229
Primary Topic
Machine Fault Diagnosis Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Remaining Useful Life Estimation of Turbofan Engines under Multiple Operational Conditions Using Machine Learning

Dishant Tilara
1 links
Zenodo (CERN European Organization for Nuclear Research)
Machine Fault Diagnosis Techniques
article

Remaining Useful Life Estimation of Turbofan Engines under Multiple Operational Conditions Using Machine Learning

Dishant Tilara
article en

Abstract

AbstractPredicting the Remaining Useful Life (RUL) of turbofan jet engines is vital for implementing proactive Condition-Based Maintenance (CBM)... Keywords: Predictive Maintenance, Remaining Useful Life (RUL), NASA C-MAPSS Dataset, Turbofan Engine, Z-Score Normalization, Machine Learning.

Zenodo (CERN European Organization for Nuclear Research)
RK University (IN)
Openalex Percentile: Top 18%
Machine Fault Diagnosis Techniques
DOIOpen Access PDFOpenAlex
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Remaining Useful Life Estimation of Turbofan Engines under Multiple Operational Conditions Using Machine Learning — Dishant Tilara · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS