Audio signal based wind power blade damage monitoring method and system

Abstract

The invention discloses an audio signal based wind power blade damage monitoring method and monitoring system. Audio signals sent by blades of wind driven generators in a wind power plant are circularly collected in the operation process, characteristic values of the audio signals are calculated, change of each unit audio signal characteristic value is analyzed, change of blade states is judged according to the change condition of the characteristic values, and a warning signal is sent for possible damage to remind a worker to perform further check, so that damage and defect of the blades are timely found in the early occurrence and development period, repairing measures are taken, the operation quality of the blades is improved, and meanwhile, major accidents such as blade breaking and falling and the like are prevented. The monitoring system comprises an omnidirectional microphone, a directional microphone, a collection amplification circuit, a conditioning circuit, an A / D conversion circuit, a connector, a data acquisition card and a computer. The monitoring system takes the irreversibility of blade damage as work foundation, so that the result is accurate, and the reliability is high.

Description

technical field [0001] The invention relates to a wind power generator blade damage monitoring technology, in particular to the damage monitoring on the blade surface and internal structure during the operation of the wind power generator, and belongs to the field of non-destructive testing of composite materials. Background technique [0002] Wind turbine blades (hereinafter referred to as "blades") are an important part of a wind power system. The blades are symmetrically arranged on the wind power tower, and rotate around the axis under the action of wind force to drive the generator to generate electric energy. Its normal operation is the basis for the generator to work. The blades are made of composite materials and integral molding process. With the development of wind energy development, the large-scale characteristics of wind turbines are becoming more and more obvious. The increase in structural size leads to an increase in the probability of damage and defects, and...

AI Technical Summary

Problems solved by technology

However, after the blades are installed on wind power towers tens of meters high, the working environment is harsh, and they are prone to defects and damage and can be expanded.

The aforementioned non-destructive testing methods are difficult to be applied to the detection of tower blades, so that the defects and damages of tower blades cannot be found in time

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