Pramod Bangalore
Pramod Bangalore
Greenbyte AB
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Citado por
Citado por
Año
An artificial neural network approach for early fault detection of gearbox bearings
P Bangalore, LB Tjernberg
IEEE Transactions on Smart Grid 6 (2), 980-987, 2015
2232015
Analysis of SCADA data for early fault detection, with application to the maintenance management of wind turbines
P Bangalore, M Patriksson
Renewable Energy 115, 521-532, 2018
712018
An artificial neural network‐based condition monitoring method for wind turbines, with application to the monitoring of the gearbox
P Bangalore, S Letzgus, D Karlsson, M Patriksson
Wind Energy 20 (8), 1421-1438, 2017
662017
A data-driven algorithm to predict throughput bottlenecks in a production system based on active periods of the machines
M Subramaniyan, A Skoogh, H Salomonsson, P Bangalore, J Bokrantz
Computers & Industrial Engineering 125, 533-544, 2018
372018
An approach for self evolving neural network based algorithm for fault prognosis in wind turbine
P Bangalore, LB Tjernberg
2013 IEEE Grenoble Conference, 1-6, 2013
262013
Cost efficient maintenance strategies for wind power systems using LCC
G Puglia, P Bangalore, LB Tjernberg
2014 International Conference on Probabilistic Methods Applied to Power …, 2014
192014
An anomaly detection approach based on machine learning and scada data for condition monitoring of wind turbines
Y Cui, P Bangalore, LB Tjernberg
2018 IEEE International Conference on Probabilistic Methods Applied to Power …, 2018
152018
Self evolving neural network based algorithm for fault prognosis in wind turbines: A case study
P Bangalore, LB Tjernberg
2014 International Conference on Probabilistic Methods Applied to Power …, 2014
152014
Load and risk based maintenance management of wind turbines
P Bangalore
Chalmers University of Technology, 2014
122014
Data-driven algorithm for throughput bottleneck analysis of production systems
M Subramaniyan, A Skoogh, H Salomonsson, P Bangalore, ...
Production & Manufacturing Research 6 (1), 225-246, 2018
112018
Extension of test system for distribution system reliability analysis with integration of Electric Vehicles in distribution system
P Bangalore, L Bertling
2011 2nd IEEE PES International Conference and Exhibition on Innovative …, 2011
112011
Development of test system for distribution system reliability analysis, integration of electric vehicles into the distribution system
P Bangalore
112011
Recommended practices for wind farm data collection and reliability assessment for O&M optimization
B Hahn, T Welte, S Faulstich, P Bangalore, C Boussion, K Harrison, ...
Energy Procedia 137, 358-365, 2017
102017
An Anomaly Detection Approach Using Wavelet Transform and Artificial Neural Networks for Condition Monitoring of Wind Turbines' Gearboxes
Y Cui, P Bangalore, LB Tjernberg
2018 Power Systems Computation Conference (PSCC), 1-7, 2018
92018
On the use of reliability test systems: A literature survey
L Bertling, P Bangalore
2011 IEEE Power and Energy Society General Meeting, 1-9, 2011
82011
System-wide anomaly detection in wind turbines using deep autoencoders
N Renström, P Bangalore, E Highcock
Renewable Energy 157, 647-659, 2020
52020
Condition monitoring and asset management in the smart grid
P Bangalore, L B. Tjernberg
Smart Grid Handbook, 1-13, 2016
42016
Wind turbine health assessment framework based on power analysis using machine learning method
Q Huang, Y Cui, LB Tjernberg, P Bangalore
2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), 1-5, 2019
22019
Optimal preventive maintenance scheduling for wind turbines under condition monitoring
Q Yu, P Bangalore, S Fogelström, S Sagitov
arXiv preprint arXiv:2104.04460, 2021
2021
Machine learning-based investigation of the cancer protein secretory pathway
R Saghaleyni, A Sheikh Muhammad, P Bangalore, J Nielsen, ...
PLoS computational biology 17 (4), e1008898, 2021
2021
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