Water and Energy International
SCOPUS
  • Year: 2017
  • Volume: 60r
  • Issue: 3

Analysis of SCADA data for Early Fault detection with Application to the Maintenance Management of Wind Turbines

  • Author:
  • Pramod Bangalore1, Michael Patriksson1, Simon Letzgus2, Lina Bertling Tjernberg3
  • Total Page Count: 1
  • Page Number: 75 to 75

1Chalmers University of Technology, Sweden

2University of Stuttgart, Germany

3Royal Institute of Technology (KTH), Sweden

Online published on 12 July, 2017.

Keywords

Artificial neural network (ANN), asset management, condition monitoring system (CMS), maintenance scheduling, mathematical model, wind turbine, supervisory control and data acquisition (SCADA)