A fault detection framework using recurrent neural networks for condition monitoring of wind turbines von Cui, Yue, Bangalore, Pramod, Bertling Tjernberg, Lina

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Optimal Preventive Maintenance Scheduling for Wind Turbines under Condition Monitoring von Yu, Quanjiang, Bangalore, Pramod, Fogelström, Sara, Sagitov, Serik

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Erratum for “Jet-Driven Mixing Regimes Identified in the Unsteady Isothermal Filling of Rectangular Municipal Water Storage Tanks” von Narayan Bangalore, Pramod, Homan, K. O.

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Jet-Driven Mixing Regimes Identified in the Unsteady Isothermal Filling of Rectangular Municipal Water Storage Tanks von Bangalore, Pramod Narayan, Homan, K. O.

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Machine learning-based investigation of the cancer protein secretory pathway von Saghaleyni, Rasool, Sheikh Muhammad, Azam, Bangalore, Pramod, Nielsen, Jens, Robinson, Jonathan L

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Data-driven algorithm for throughput bottleneck analysis of production systems von Subramaniyan, Mukund, Skoogh, Anders, Salomonsson, Hans, Bangalore, Pramod, Gopalakrishnan, Maheshwaran, Sheikh Muhammad, Azam

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An Artificial Neural Network Approach for Early Fault Detection of Gearbox Bearings von Bangalore, Pramod, Tjernberg, Lina Bertling

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System-wide anomaly detection in wind turbines using deep autoencoders von Renström, Niklas, Bangalore, Pramod, Highcock, Edmund

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A data-driven algorithm to predict throughput bottlenecks in a production system based on active periods of the machines von Subramaniyan, Mukund, Skoogh, Anders, Salomonsson, Hans, Bangalore, Pramod, Bokrantz, Jon

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Analysis of SCADA data for early fault detection, with application to the maintenance management of wind turbines von Bangalore, P., Patriksson, M.

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An artificial neural network‐based condition monitoring method for wind turbines, with application to the monitoring of the gearbox von Bangalore, P., Letzgus, S., Karlsson, D., Patriksson, M.

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A fault detection framework using RNNs for condition monitoring of wind turbines von Cui, Yue, Bangalore, Pramod, Bertling, Lina

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On Scene Injury Severity Prediction (OSISP) machine learning algorithms for motor vehicle crash occupants in US von Candefjord, Stefan, Sheikh Muhammad, Azam, Bangalore, Pramod, Buendia, Ruben

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Load and risk based maintenance management of wind turbines von Bangalore, Pramod

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A Fault Detection Framework Using Recurrent Neural Networks for Condition Monitoring of Wind Turbines von Cui, Yue

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Recommended practices for wind farm data collection and reliability assessment for O&M optimization von Hahn, Berthold, Welte, Thomas, Faulstich, Stefan, Bangalore, Pramod, Boussion, Cyril, Harrison, Keith, Miguelanez-Martin, Emilio, O’Connor, Frank, Pettersson, Lasse, Soraghan, Conaill, Stock-Williams, Clym, Dalsgaard Sørensen, John, van Bussel, Gerard, Vatn, Jørn

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Load and Risk Based Maintenance Management of Wind Turbines von Bangalore, Pramod

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Recommended practices for wind farm data collection and reliability assessment for O&M optimization von Hahn, Berthold, Welte, Thomas Michael, Faulstich, Stefan, Bangalore, Pramod, Boussion, Cyril, Harrison, K, Miguelanez-Martin, Emilio, O'Connor, Frank, Pettersson, Lasse, Soraghan, Conaill, Stock-Williams, Clym, Sørensen, John Dalsgaard, van Bussel, Gerard, Vatn, Jørn

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Optimal preventive maintenance scheduling for wind turbines under condition monitoring von Yu, Quanjiang, Bangalore, Pramod, Fogelström, Sara, Sagitov, Serik

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On the use of reliability test systems: A literature survey von Bertling, L., Bangalore, P., Le Anh Tuan

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