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- W66884521 abstract "The continual development of sensor and storage technology has led to a dramatic increase in volumes of data being captured for condition monitoring and machine health assessment. Beyond wind energy, many sectors are dealing with the same issue, and these large, complex data sets have been termed ‘Big Data’. Big Data may be defined as having three dimensions: volume, velocity, and variety. This paper discusses the application of Big Data practices for use in wind turbine condition monitoring, with reference to a deployed system capturing 2 TB of data per month." @default.
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- W66884521 date "2014-03-01" @default.
- W66884521 modified "2023-09-26" @default.
- W66884521 title "Big data techniques for wind turbine condition monitoring" @default.
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