EEMD-based wind turbine bearing failure detection using the generator stator current homopolar component

Failure detection has always been a demanding task in the electrical machines community; it has become more challenging in wind energy conversion systems because sustainability and viability of wind farms are highly dependent on the reduction of the operational and maintenance costs. Indeed the most efficient way of reducing these costs would be to continuously monitor the condition of these systems. This allows for early detection of the generator health degeneration, facilitating a proactive response, minimizing downtime, and maximizing productivity. This paper provides then an assessment of a failure detection techniques based on the homopolar component of the generator stator current and attempts to highlight the use of the ensemble empirical mode decomposition as a tool for failure detection in wind turbine generators for stationary and non stationary cases.

• Publication year

  2013

• Venue

  Mechanical Systems and Signal Processing

• Publication date

  2013-12-01

• Fields of study

  Mathematics, Engineering, Environmental Science

• Identifiers
  DOI 10.1016/J.YMSSP.2013.06.012
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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