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Traditional approaches to production equipment maintenance remain mainly in corrective maintenance and routine-based maintenance. Corrective maintenance, which is no fail no repair, implies unscheduled downtime of equipment, severe security risk and unacceptable economic loss, while routine or time-based maintenance is time consuming and costly. By data analysis and modeling, predictive maintenance forecasts the residual life or possible failure of key components, and schedules maintenance accordingly，in order to avoid unscheduled downtime and to save cost.

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We extract actual SCADA data of a certain offshore wind farm and artificially remove some of the data, including but not limited to deleting all data of a certain time period, data of a certain turbine at a certain time, some fields of a certain turbine at a certain time, etc. The applicant needs to use the remaining data to recover the deleted data, and the accuracy of the recovery shall be the final evaluation benchmark

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