Pramod Bangalore - Concepedia

Author

Pramod Bangalore

Chalmers University of Technology

Also Known As

Bangalore, Pramod, P. Bangalore, Pramod Bangalore

Publications

895

Citations

H-Index

Concepts

All Affiliations

Chalmers University of Technology KTH Royal Institute of Technology University of Gothenburg

About

Pramod Bangalore is an author at Chalmers University of Technology specializing in engineering, systems engineering, and condition monitoring.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	11	11	784
2	Business	1	1	44
3	Medicine	1	1	11
4	Business Analytics	1	1	44
5	Cell Biology	1	1	11

Pramod Bangalore

Publications

858

Citations

H-Index

Page 1

	Year	Citations
An Artificial Neural Network Approach for Early Fault Detection of Gearbox Bearings Pramod Bangalore, Lina Bertling Tjernberg IEEE Transactions on Smart Grid Fault DiagnosisEngineeringIndustrial EngineeringDiagnosisFault Forecasting	2015	333
An artificial neural network‐based condition monitoring method for wind turbines, with application to the monitoring of the gearbox Pramod Bangalore, Simon Letzgus, Daniel Karlsson, Wind Energy Fault DiagnosisEngineeringAnn Model ErrorsFault ForecastingControl Systems	2017	141
System-wide anomaly detection in wind turbines using deep autoencoders Niklas Renström, Pramod Bangalore, Edmund Highcock Renewable Energy Anomaly DetectionMachine LearningEngineeringAutoencodersDeep Autoencoders	2020	92
An Anomaly Detection Approach Based on Machine Learning and SCADA Data for Condition Monitoring of Wind Turbines Yue Cui, Pramod Bangalore, Lina Bertling Tjernberg Fault DiagnosisEngineeringMachine LearningDiagnosisFault Forecasting	2018	48
Data-driven algorithm for throughput bottleneck analysis of production systems Mukund Subramaniyan, Anders Skoogh, Hans Salomonsson, Production & Manufacturing Research EngineeringIndustrial EngineeringThroughput BottlenecksBusiness AnalyticsThroughput Bottleneck Analysis	2018	44
A fault detection framework using recurrent neural networks for condition monitoring of wind turbines Yue Cui, Pramod Bangalore, Lina Bertling Tjernberg Wind Energy Fault DiagnosisCondition MonitoringReliability EngineeringEngineeringMachine Learning	2021	41
An approach for self evolving neural network based algorithm for fault prognosis in wind turbine Pramod Bangalore, Lina Bertling Tjernberg Fault DiagnosisEngineeringNeural NetworkFault ForecastingIntelligent Systems	2013	29
On Scene Injury Severity Prediction (OSISP) machine learning algorithms for motor vehicle crash occupants in US Stefan Candefjord, Azam Sheikh Muhammad, Pramod Bangalore, Journal of Transport & Health	2021	29
An Anomaly Detection Approach Using Wavelet Transform and Artificial Neural Networks for Condition Monitoring of Wind Turbines' Gearboxes Yue Cui, Pramod Bangalore, Lina Bertling Tjernberg Fault DiagnosisCondition MonitoringReliability EngineeringEngineeringArtificial Neural Networks	2018	20
Recommended practices for wind farm data collection and reliability assessment for O&M optimization Berthold Hahn, Thomas Michael Welte, Stefan Faulstich, Energy Procedia	2017	18

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