Pramod Bangalore

Forskningsingenjör at

Pramod Bangalore works as a PhD student in the department of Electric Power Engineering. His research focuses on Maintenance Management of wind turbines. The main aim of the project is to reduce the cost of maintenance in wind turbines using innovative strategies and failure prognosis algorithms. The focus will be on using SCADA alarms as indicators for impending failure. The results might be useful for wind power plant operators and owners. Reduction in maintenance cost will result in reduction of Life Cycle Cost of the wind power plants thereby making them more lucrative to the investors.

Source: chalmers.se

Projects

2015–2018

Development of mathematical optimization models and methods towards a successful integration of production and condition-based multi-component maintenance in the wind power industry

Michael Patriksson Applied Mathematics and Statistics
Ann-Brith Strömberg Applied Mathematics and Statistics
Pramod Bangalore Electric Power Engineering
Quanjiang Yu Unknown organization
Swedish Research Council (VR)

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Publications

2018

Analysis of SCADA data for early fault detection, with application to the maintenance management of wind turbines

Pramod Bangalore, Michael Patriksson
Renewable Energy. Vol. 115, p. 521-532
Journal article
2017

An artificial neural network based condition monitoring method for wind turbines, with application to the monitoring of the gearbox

Pramod Bangalore, Michael Patriksson, Simon Letzgus et al
Wind Energy
Journal article
2017

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 et al
Wind Energy. Vol. 20 (8), p. 1421-1438
Journal article
2016

Analysis of SCADA data for early fault detection with application to the maintenance management of wind turbines

Pramod Bangalore, Michael Patriksson, Lina Bertling Tjernberg et al
Paper in proceedings
2016

Load and risk based maintenance management of wind turbines

Pramod Bangalore
Doctoral thesis
2016

Condition Monitoring and Asset Management in the Smart Grid

Pramod Bangalore, Lina Bertling Tjernberg
Chapter in monograph, book - peer reviewed
2015

An Artificial Neural Network Approach for Early Fault Detection of Gearbox Bearings

Pramod Bangalore, Lina Bertling Tjernberg
IEEE Transactions on Smart Grid. Vol. 6 (2), p. 980-987
Journal article
2014

Self Evolving Neural Network Based Algorithm for Fault Prognosis in Wind Turbines : A Case Study

Pramod Bangalore, Lina Bertling Tjernberg
Paper in proceedings
2014

Load and Risk Based Maintenance Management of Wind Turbines

Pramod Bangalore
Licentiate thesis
2014

Cost Efficient Maintenance Strategies for Wind Power Systems Using LCC

Gloria Puglia, Pramod Bangalore, Lina Bertling Tjernberg
2014 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2014; Durham; United Kingdom; 7 July 2014 through 10 July 2014, p. Art. no. 6960591-
Paper in proceedings
2013

An Approach for Self Evolving Neural Network Based Algorithm for Fault Prognosis in Wind Turbine

Pramod Bangalore, Lina Bertling Tjernberg
IEEE Grenoble Conference PowerTech, POWERTECH 2013; Grenoble; France, p. (article no 6652218)-
Paper in proceedings
2011

On the use of reliability test systems: A literature survey

Lina Bertling Tjernberg, Pramod Bangalore, Anh Tuan Le
2011 IEEE Power & Energy Society General Meeting, 24 – 28 July 2011, Detroit, Michigan, USA.
Paper in proceedings
2011

Extension of Test System for Distribution System Reliability Analysis with Integration of Electric Vehicles in the Distribution System

Pramod Bangalore, Lina Bertling Tjernberg
IEEE PES Innovative Smart Grid Technologies Conference Europe. 2nd IEEE PES International Conference and Exhibition on Innovative Smart Grid Technologies, ISGT Europe 2011, Manchester, 5 - 7 December 2011, p. Art. no. 6162763-
Paper in proceedings