Korea Electric Power Corporation

Moo Sung Ryu

Ji Young Kim

Seok Tae Kim

Jae Kyung Lee

Joon Young Park

Jun Shin Lee

Dae Soo Lee

Keum Seok Kang

Dae Hong Kim

Dae Hak Kim

Ki Yong Oh

Sung Yun Hong

Kyoung Yul Kim

Jae Kyoung Lee

Byung Mok Park

Gi Dae Oh

Byoung Mok Park

Min Uk Jung

The present invention relates to a signal processing device for monitoring states of wind-power turbine blades and a method thereof, the signal processing device comprising: an optical fiber sensor unit for sensing moment of rotation of three blades so as to output the moment of rotation as blade signals; a signal transformation unit for converting three blade signals into two fore-ape signals; a rotation information input unit for sensing rotation information of the blades; a rotation speed estimation unit for estimating a rotation speed of the blades on the basis of the rotation information; a state determination unit which removes rotation components from the fore-ape signals and determines whether an operation of a blade is abnormal; and an output unit for outputting the determination result. According to the present invention, two fore-ape signals which are simpler than three blade signals can be processed such that an efficient signal analysis is enabled and the efficiency of determining a state of blades is improved, thereby efficiently managing and maintaining the blades.

Signal processing device for monitoring state of wind-power turbine blades and method thereof

The present invention provides a method of automatically calculating a power curve limit for the power curve monitoring of a wind turbine that may set an optimal power curve limit by automatically calculating a power curve limit for power curve monitoring even if wind speed-power data measured at a wind turbine includes a large amount of abnormal data in addition to normal data. To this end, the present invention includes: classifying, by an input data classifying unit, the input data on wind power generation through a variable speed bin; calculating, by a power calculating unit, a power average value and standard deviation for each bin for the classified input data; estimating, by a power curve estimating unit, a power curve for the calculated power average value for each bin; searching for, by a limit searching unit, an accurate power curve limit while moving the estimated power curve; and setting, by a data extracting unit, the data included in the accurate power curve limit as new input data.

Method of automatically calculating power curve limit for power curve monitoring of wind turbine

The present invention relates to an instrument for measuring torsion moment per a single-pole cylindrical foundation, including: a force-applying means that applies horizontal force to structures protruding from the ground; a tension means that is connected with the force-applying means to apply tensile force to the structures; a measuring unit that is disposed inside the structures to measure strain per depth and portion due to force applied from the force-applying means and the tension means; and a controller that analyzes moment per depth of the structures from horizontal force measured by the measuring unit.

Instrument for torsion moment test of single-pole cylindrical foundation

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Daejeon, South Korea

Moo Sung Ryu