Fatigue diagnosis detection method of fan tower barrel based on acceleration sensor

Abstract

The invention provides a fatigue diagnosis detection method of a fan tower barrel based on an acceleration sensor. The fatigue diagnosis detection method of the fan tower barrel based on the acceleration sensor comprises the following steps that the acceleration sensor is used for collecting acceleration signals of a wind power tower barrel in the operation process of a wind driven generator and calculating continuous disturbance displacement; the wind power tower barrel is simplified into a cantilever beam model, and an external load acting on the top of the wind power tower barrel and a fatigue load acting on the bottom of the wind power tower barrel are calculated; according to the fatigue load tau max-time history curve, the stress amplitude of the fatigue load and the corresponding cycle index are calculated and counted, and a corresponding low-cycle fatigue load amplitude frequency histogram is drawn; and according to a Miner linear fatigue accumulation damage theory, the total low-cycle fatigue damage of the wind power tower barrel within the test time is calculated, and the low-cycle fatigue life of the wind power tower barrel is predicated. According to the fatigue diagnosis detection method of the fan tower barrel based on the acceleration sensor, by using the acceleration sensor to perform measurement, the fatigue damage of the wind power tower barrel can be calculated according to measured data, and then the residual fatigue life of the wind power tower barrel is estimated, and convenience is provided for work of maintenance personnel.

Description

technical field [0001] The invention relates to the technical field of wind power generation, in particular to a method for fatigue detection and fatigue life estimation of a fan tower. Background technique [0002] Today, with the depletion of traditional energy such as oil, coal, and natural gas and the rising prices, wind energy, as a clean and sustainable energy, has received more and more attention. From the perspective of development trend, wind energy will definitely be favored by all countries because of its huge reserves, renewable, wide distribution, and no pollution. Among them, wind power generation has gradually become the wind energy utilization method with the most large-scale development conditions and commercial development prospects. [0003] The main structure of a wind turbine includes a tower, wind turbine blades, a nacelle, and a generator and a gearbox in the nacelle. Among them, the wind power tower is the tower pole of wind power generation, which ...

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Problems solved by technology

[0005] At present, most of the fatigue diagnosis and detection methods for wind power towers on the market are time-consuming and laborious, and do not consider the influence of low-cycle fatigue. Establish a wind turbine simulation model of a virtual wind turbine and establish a digital twin model to predict the fatigue life and fatigue damage of the wind turbine. This method is relatively complicated and requires the establishment of multiple models; for example, Chinese patent CN202010878949.7 discloses a multi-angle wind turbine blade Fatigue mechanical performance detection device and its use method, by setting up the multi-angle fatigue mechanical performance detection device of wind power blades, when detecting the different position states of wind power blades, analyzing the fatigue mechanical properties of wind power blades, this method is only applicable to wind power blades, and cannot be used for wind power towers Cylinder fatigue and life prediction

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