Blar i AURA på forfatter "Kandukuri, Surya Teja"
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Assessment of synthetic winds through spectralmodeling and validation using FAST
Chougule, Abhijit; Kandukuri, Surya Teja; Beyer, Hans-Georg (Journal article; Peer reviewed, 2016)In this paper, we analyse the simulated and measured wind data with respect to their spectral characteristics and their effect on wind turbine loads. The synthetic data is generated from a stochastic full-field turbulent ... -
Automated and Rapid Seal Wear Classification Based on Acoustic Emission and Support Vector Machine
Kandukuri, Surya Teja; Shanbhag, Vignesh Vishnudas; Meyer, Thomas; Caspers, Leo; Noori, Nadia; Schlanbusch, Rune (Peer reviewed; Journal article, 2021)Seal wear in hydraulic cylinders results in fluid leakage, and instability of the piston rod movement. Therefore, regular inspection of seals is required using automated approaches to improve productivity and to reduce ... -
Automated and Rapid Seal Wear Classification Based on Acoustic Emission and Support Vector Machine
Kandukuri, Surya Teja; Shanbhag, Vignesh Vishnudas; Meyer, Thomas; Caspers, Leo; Noori, Nadia; Schlanbusch, Rune (Peer reviewed; Journal article, 2021) -
Data Driven Seal Wear Classifications using Acoustic Emissions and Artificial Neural Networks
Noori, Nadia; Shanbhag, Vignesh Vishnudas; Kandukuri, Surya Teja; Schlanbusch, Rune (Peer reviewed; Journal article, 2022)The work presented in this paper is built on a series of experiments aiming to develop a data-driven and automated method for seal diagnostics using Acoustic Emission (AE) features. Seals in machineries operate in harsh ... -
Estimation of Wind Turbine Performance Degradation with Deep Neural Networks
Mathew, Manuel Sathyajith; Kandukuri, Surya Teja; Omlin, Christian Walter Peter (Journal article; Peer reviewed, 2022)In this paper, we estimate the age-related performance degradation of a wind turbine working under Norwegian environment, based on a deep neural network model. Ten years of high-resolution operational data from a 2 MW wind ... -
A Novel Fault Indicator for Local Demagnetization in Fractional-Slot Permanent Magnet Synchronous Motor using Winding Function Theory
Golzar, Milad; Kandukuri, Surya Teja; Huynh, Khang; Choux, Martin Marie Hubert; Versland, Alf Magne (Journal article; Peer reviewed, 2020)Local demagnetization is an irreparable failure mode in permanent magnet synchronous motors (PMSMs), resulting in reduced motor efficiency and high cogging torque. These effects are particularly disadvantageous to ... -
Rapid Diagnosis of Induction Motor Electrical Faults using Convolutional Autoencoder Feature Extraction
Husebø, Arild Bergesen; Kandukuri, Surya Teja; Klausen, Andreas; Huynh, Khang; Robbersmyr, Kjell Gunnar (Journal article; Peer reviewed, 2020) -
Towards farm-level health management of offshore wind farms for maintenance improvements
Kandukuri, Surya Teja; Robbersmyr, Kjell G; Karimi, Hamid Reza (Journal article; Peer reviewed, 2015)