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A method for estimating remaining useful life of component of operational wind turbine

A wind turbine and operability technology, applied in the control of wind turbines, monitoring of wind turbines, wind turbines, etc., can solve problems such as damage and life estimation errors, and inaccurate data collection methods, so as to achieve good fault risk assessment and good The effect of the updated design

Pending Publication Date: 2022-04-29
ACCIONA GENERACION RENOVABLE SA +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In addition, the disclosed data acquisition method is not accurate enough, and a lot of inaccurate and wrong data will be obtained during the simulation process, resulting in errors in damage and life estimation

Method used

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  • A method for estimating remaining useful life of component of operational wind turbine
  • A method for estimating remaining useful life of component of operational wind turbine
  • A method for estimating remaining useful life of component of operational wind turbine

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Embodiment Construction

[0055] figure 1 A block diagram of a preferred embodiment of the method disclosed herein is shown. In the described preferred embodiment, a method for estimating remaining component life of an operational wind turbine includes a data acquisition module comprising a SCADA routine monitoring system configured to measure the Actual historical data of an operational wind turbine, said state detection unit is used to identify historical operating states, wherein said method includes extracting historical data from a data acquisition module at 10 minute intervals, said data including wind speed, power, knots position and hub angular velocity. figure 2 An exemplary representation of data collected by the data collection module is shown. figure 1 A subsequent step of the method is to identify the operating state of the wind turbine by the state detection unit for each 10-minute time interval, said operating state comprising at least run, idle and transition, wherein transition is f...

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Abstract

A method and system for estimating operational wind turbine remaining component life from actual wind turbine operating conditions after commissioning uses a data acquisition module configured to measure real historical data of the operational wind turbine, and an additional state detection unit configured to identify historical operating states. The method includes extracting historical data from the data acquisition module at time intervals, identifying an operating state of the wind turbine, verifying the identified operating state and identifying uncertain data that does not match. Then, a turbine model is simulated for each identified operating state at each time interval and its wind regime, and a fatigue equivalent load for each operating state and wind regime is calculated.

Description

technical field [0001] The invention belongs to the field of health assessment and prognostics for wind turbines and allows estimating the remaining useful life of wind turbine components. In particular, it relates to a method for modeling and simulating the actual load on a wind turbine after the turbine has been commissioned (post-design). The present invention provides a very good understanding of the forces and moments actually occurring on blades, main shafts, towers and other components. The present invention describes a method of identifying and differentiating operating conditions and their respective fatigue loads with respect to the history of the turbine. Fatigue loads can then be used to determine the reliability of individual components as well as the entire turbine. Background technique [0002] Wind turbine components are designed to have a service life of approximately twenty to twenty five years. Fluctuations in environmental factors can cause changes in ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): F03D7/02F03D17/00
CPCF03D7/0292F03D17/00F05B2270/332F05B2260/84Y02E10/72
Inventor 阿德里安·里巴里克胡安·加勒戈-卡尔德隆梅赛德斯·伊鲁霍·埃斯皮诺萨·德·蒙特罗斯
Owner ACCIONA GENERACION RENOVABLE SA