Noise study for wind turbine blade vibration signals based on fast ICA algorithm

2015 8th International Congress on Image and Signal Processing (CISP) ◽

10.1109/cisp.2015.7408113 ◽

2015 ◽

Author(s):

Qian Zhao ◽

Wei Li ◽

Yichuan Shao ◽

Xingjia Yao ◽

Haonan Tian ◽

...

Keyword(s):

Wind Turbine ◽

Turbine Blade ◽

Wind Turbine Blade ◽

Blade Vibration ◽

Vibration Signals ◽

Ica Algorithm

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Wind Turbine Blade Fault Diagnosis Using Vibration Signals through Decision Tree Algorithm

Indian Journal of Science and Technology ◽

10.17485/ijst/2016/v9i48/107936 ◽

2016 ◽

Vol 9 (48) ◽

Cited By ~ 3

Author(s):

A. Joshuva ◽

V. Sugumaran

Keyword(s):

Fault Diagnosis ◽

Decision Tree ◽

Wind Turbine ◽

Turbine Blade ◽

Wind Turbine Blade ◽

Decision Tree Algorithm ◽

Vibration Signals ◽

Tree Algorithm

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Split-Point and Attribute-Reduced Classifier Approach for Fault Diagnosis of Wind Turbine Blade through Vibration Signals

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/923/1/012009 ◽

2020 ◽

Vol 923 ◽

pp. 012009

Author(s):

A Joshuva ◽

M Arjun ◽

B Sujith Adhithya ◽

B Akash ◽

S Abdul Wahaab

Keyword(s):

Fault Diagnosis ◽

Wind Turbine ◽

Turbine Blade ◽

Wind Turbine Blade ◽

Vibration Signals ◽

Split Point

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Selection of a meta classifier-data model for classifying wind turbine blade fault conditions using histogram features and vibration signals: a data-mining study

Progress in Industrial Ecology An International Journal ◽

10.1504/pie.2019.10022055 ◽

2019 ◽

Vol 13 (3) ◽

pp. 232 ◽

Cited By ~ 4

Author(s):

A. Joshuva ◽

V. Sugumaran

Keyword(s):

Data Mining ◽

Wind Turbine ◽

Turbine Blade ◽

Data Model ◽

Wind Turbine Blade ◽

Vibration Signals ◽

Selection Of

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Comparative Study on Tree Classifiers for Application to Condition Monitoring of Wind Turbine Blade through Histogram Features Using Vibration Signals: A Data-Mining Approach

Structural Durability & Health Monitoring ◽

10.32604/sdhm.2019.03014 ◽

2019 ◽

Vol 13 (4) ◽

pp. 399-416 ◽

Cited By ~ 2

Author(s):

A. Joshuva ◽

V. Sugumaran

Keyword(s):

Data Mining ◽

Comparative Study ◽

Wind Turbine ◽

Turbine Blade ◽

Condition Monitoring ◽

Wind Turbine Blade ◽

Vibration Signals ◽

Data Mining Approach

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A lazy learning approach for condition monitoring of wind turbine blade using vibration signals and histogram features

Measurement ◽

10.1016/j.measurement.2019.107295 ◽

2020 ◽

Vol 152 ◽

pp. 107295

Author(s):

A. Joshuva ◽

V. Sugumaran

Keyword(s):

Wind Turbine ◽

Turbine Blade ◽

Condition Monitoring ◽

Wind Turbine Blade ◽

Learning Approach ◽

Lazy Learning ◽

Vibration Signals

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A data driven approach for condition monitoring of wind turbine blade using vibration signals through best-first tree algorithm and functional trees algorithm: A comparative study

ISA Transactions ◽

10.1016/j.isatra.2017.02.002 ◽

2017 ◽

Vol 67 ◽

pp. 160-172 ◽

Cited By ~ 23

Author(s):

A Joshuva. ◽

V Sugumaran.

Keyword(s):

Comparative Study ◽

Wind Turbine ◽

Turbine Blade ◽

Condition Monitoring ◽

Wind Turbine Blade ◽

Data Driven ◽

Vibration Signals ◽

Tree Algorithm ◽

Data Driven Approach

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Effect and detection of cracks on small wind turbine blade vibration using special Kriging analysis of spectral shifts

Measurement ◽

10.1016/j.measurement.2019.107076 ◽

2020 ◽

Vol 151 ◽

pp. 107076 ◽

Cited By ~ 1

Author(s):

Mohammed Awadallah ◽

Ameen El-Sinawi

Keyword(s):

Wind Turbine ◽

Turbine Blade ◽

Wind Turbine Blade ◽

Blade Vibration ◽

Small Wind Turbine ◽

Spectral Shifts ◽

Kriging Analysis

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Wind turbine blade vibration at standstill conditions-the effect of imposing lag on the aerodynamic response of an elastically mounted airfoil

Wind Energy ◽

10.1002/we.1712 ◽

2014 ◽

Vol 18 (3) ◽

pp. 515-527 ◽

Cited By ~ 6

Author(s):

Witold Skrzypiński ◽

Mac Gaunaa

Keyword(s):

Wind Turbine ◽

Turbine Blade ◽

Wind Turbine Blade ◽

Blade Vibration

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Classification of Various Wind Turbine Blade Faults through Vibration Signals Using Hyperpipes and Voting Feature Intervals Algorithm

10.23940/ijpe.17.03.p1.247258 ◽

2017 ◽

Author(s):

Joshuva A

Keyword(s):

Wind Turbine ◽

Turbine Blade ◽

Wind Turbine Blade ◽

Vibration Signals

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Advances in wind turbine blade design and materials

10.1533/9780857097286 ◽

2013 ◽

Cited By ~ 18

Author(s):

Povl Brøndsted ◽

Rogier P. L. Nijssen

Keyword(s):

Wind Turbine ◽

Turbine Blade ◽

Wind Turbine Blade ◽

Blade Design ◽

Turbine Blade Design

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