Author/Creator: Joshuva, A. - British Library Electronic Legal Deposit Catalogue-Journal Issues and Articles Search Results

Author/Creator Joshuva, A.

1. A lazy learning approach for condition monitoring of wind turbine blade using vibration signals and histogram features. (February 2020)

Authors:: Joshuva, A.; Sugumaran, V.
Journal:: Measurement
Issue:: Volume 152(2020)
Page Start:
Record Type:: Journal Article
View Content:: Available online (eLD content is only available in our Reading Rooms) ↗

2. A machine learning approach for condition monitoring of wind turbine blade using autoregressive moving average (ARMA) features through vibration signals: a comparative study. (2018)

Authors:: Joshuva, A.; Sugumaran, V.
Journal:: Progress in industrial ecology
Issue:: Volume 12:Number 1/2(2018)
Page Start:: 14
Record Type:: Journal Article
View Content:: Available online (eLD content is only available in our Reading Rooms) ↗

3. Bio-fuel production from Martynia annua L. seeds using slow pyrolysis reactor and its effects on diesel engine performance, combustion and emission characteristics. (15th February 2021)

Authors:: Kumar, R. Sathish; Sivakumar, S.; Joshuva, A.; Deenadayalan, G.; Vishnuvardhan, R.
Journal:: Energy
Issue:: Volume 217(2021)
Page Start:
Record Type:: Journal Article
View Content:: Available online (eLD content is only available in our Reading Rooms) ↗

4. Improvement in wind energy production through condition monitoring of wind turbine blades using vibration signatures and ARMA features: a data-driven approach. (21st June 2019)

Authors:: Joshuva, A.; Sugumaran, V.
Journal:: Progress in industrial ecology
Issue:: Volume 13:Number 3(2019)
Page Start:: 207
Record Type:: Journal Article
View Content:: Available online (eLD content is only available in our Reading Rooms) ↗

5. Selection of a meta classifier-data model for classifying wind turbine blade fault conditions using histogram features and vibration signals: a data-mining study. (21st June 2019)

Authors:: Joshuva, A.; Sugumaran, V.
Journal:: Progress in industrial ecology
Issue:: Volume 13:Number 3(2019)
Page Start:: 232
Record Type:: Journal Article
View Content:: Available online (eLD content is only available in our Reading Rooms) ↗