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| Industrial Big Data ： ウィキペディア英語版 |
Industrial Big Data
Industrial Big Data refers to huge data sets generated by industrial machines, processes or operations. Every unit in an industrial system generates vast amount of data every moment. Billions of data samples are being generated by every single machine per day in a manufacturing line. As another example a Boeing 787 generates over half a terabyte of data per flight. Clearly the volume of data generated by group of units in an industrial system is far beyond the capability of traditional methods therefore handling, managing and processing it would be a challenge.
== Sample Repositories ==
In the course of last several years, researchers and companies have actively participated in collecting, organizing and analyzing huge industrial data sets. Some of these data sets are currently available for public usage for research purposes.
NASA data repository〔(【引用サイトリンク】url=http://ti.arc.nasa.gov/tech/dash/pcoe/prognostic-data-repository/ )〕 is one of the most famous data repositories for Industrial Big Data. Various data sets provided by this repository may be used for predictive analysis, fault detection, prognostics and etc.
抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』
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