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A Review of Fault Diagnosis, Status Prediction, and Evaluation Technology for Wind Turbines
by
Chen, Mingsong
, Li, Qingan
, Zhang, Fanghong
, Zhu, Yuze
, Zhang, Kai
in
Air-turbines
/ Alternative energy sources
/ Bearings
/ Carbon
/ condition monitoring
/ Energy resources
/ Fault diagnosis
/ Fault location (Engineering)
/ fault prediction
/ Fossil fuels
/ Fuzzy logic
/ Fuzzy sets
/ Generators
/ Maintenance costs
/ mathematical fault diagnosis
/ Mathematical models
/ Methods
/ Offshore
/ Outdoor air quality
/ Reliability (Engineering)
/ smart fault diagnosis
/ Spectrum analysis
/ status evaluation
/ Turbines
/ Vibration analysis
/ Wind power
/ wind turbines
2023
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A Review of Fault Diagnosis, Status Prediction, and Evaluation Technology for Wind Turbines
by
Chen, Mingsong
, Li, Qingan
, Zhang, Fanghong
, Zhu, Yuze
, Zhang, Kai
in
Air-turbines
/ Alternative energy sources
/ Bearings
/ Carbon
/ condition monitoring
/ Energy resources
/ Fault diagnosis
/ Fault location (Engineering)
/ fault prediction
/ Fossil fuels
/ Fuzzy logic
/ Fuzzy sets
/ Generators
/ Maintenance costs
/ mathematical fault diagnosis
/ Mathematical models
/ Methods
/ Offshore
/ Outdoor air quality
/ Reliability (Engineering)
/ smart fault diagnosis
/ Spectrum analysis
/ status evaluation
/ Turbines
/ Vibration analysis
/ Wind power
/ wind turbines
2023
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Do you wish to request the book?
A Review of Fault Diagnosis, Status Prediction, and Evaluation Technology for Wind Turbines
by
Chen, Mingsong
, Li, Qingan
, Zhang, Fanghong
, Zhu, Yuze
, Zhang, Kai
in
Air-turbines
/ Alternative energy sources
/ Bearings
/ Carbon
/ condition monitoring
/ Energy resources
/ Fault diagnosis
/ Fault location (Engineering)
/ fault prediction
/ Fossil fuels
/ Fuzzy logic
/ Fuzzy sets
/ Generators
/ Maintenance costs
/ mathematical fault diagnosis
/ Mathematical models
/ Methods
/ Offshore
/ Outdoor air quality
/ Reliability (Engineering)
/ smart fault diagnosis
/ Spectrum analysis
/ status evaluation
/ Turbines
/ Vibration analysis
/ Wind power
/ wind turbines
2023
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A Review of Fault Diagnosis, Status Prediction, and Evaluation Technology for Wind Turbines
Journal Article
A Review of Fault Diagnosis, Status Prediction, and Evaluation Technology for Wind Turbines
2023
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Overview
With the rapid development and increasing energy production capacity of high-power wind turbines, a corresponding increase in maintenance requirements has been observed. Reducing the failure rate of wind turbines is a critical objective, alongside decreasing affiliated operation and maintenance costs. This review focuses on the status monitoring, fault diagnosis, fault prediction, and status evaluation of wind turbines. The early fault diagnosis of wind turbines is explored with regard to existing condition monitoring technology. Moreover, the current mathematics-based fault diagnosis and smart fault diagnosis technologies are further explored. Through comprehensive investigation, this paper summarizes the research status of wind turbine fault prediction and complete machine status evaluation, conclusively presenting relevant research points and trends in the fault diagnosis, fault prediction, and status assessment of high-power wind turbines.
Publisher
MDPI AG
Subject
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