Faults Diagnosis and Condition Monitoring In Wind System (A Bibliometric Analysis)

Over the last few decades, improvements in technology have improved wind power generation systems enabling the construction of wind turbines in lean production technologies that have become common in recent times. This wide use has led researchers to propose methods for diagnosing and monitoring faults in wind energy systems. In this context, this work presents a bibliometric analysis of research works that have dealt with faults and diagnosis in wind energy systems. This research uses the Scopus database to quantitatively analyze studies on wind system monitoring and diagnosis published between 2009 and 2023, aiming to provide a comprehensive overview through bibliometric analysis.

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Publication Details

Journal
STUDIES IN ENGINEERING AND EXACT SCIENCES
Published
2024-12-31
DOI
https://doi.org/10.54021/seesv5n3-118
Primary Topic
Machine Fault Diagnosis Techniques
Type
article
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article

Faults Diagnosis and Condition Monitoring In Wind System (A Bibliometric Analysis)

Farid Berrezzek, Chaima Gherari, Khelil Khaled, Hicham Zaimen
STUDIES IN ENGINEERING AND EXACT SCIENCES
Machine Fault Diagnosis Techniques
article

Faults Diagnosis and Condition Monitoring In Wind System (A Bibliometric Analysis)

Farid Berrezzek, Chaima Gherari, Khelil Khaled, Hicham Zaimen
article en

Abstract

Over the last few decades, improvements in technology have improved wind power generation systems enabling the construction of wind turbines in lean production technologies that have become common in recent times. This wide use has led researchers to propose methods for diagnosing and monitoring faults in wind energy systems. In this context, this work presents a bibliometric analysis of research works that have dealt with faults and diagnosis in wind energy systems. This research uses the Scopus database to quantitatively analyze studies on wind system monitoring and diagnosis published between 2009 and 2023, aiming to provide a comprehensive overview through bibliometric analysis.

STUDIES IN ENGINEERING AND EXACT SCIENCESVol. 5(3)
Affordable and clean energy
Openalex Percentile: Top 70%
Machine Fault Diagnosis Techniques
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