Damage monitoring method and system for fan blade protective paint based on audio signal

Abstract

The present application relates to an audio signal-based damage monitoring method and system for fan blade protective paint, including a training phase and an online operation phase. The sound signal containing the aerodynamic noise of fan sweeping is collected by audio equipment for a period of time, and the sound signal is analyzed to realize real-time monitoring and fault diagnosis of the damage to the protective paint of fan blades. The present application achieves the purpose of non-destructive testing while being able to monitor the health state of the blade in real time. At the same time, the application can give early warning to the deteriorating blades and guide the time point of maintenance.

Description

technical field

[0001] The present application relates to an audio signal-based damage monitoring method and system for fan blade protective paint, which is applicable to the technical field of fan health monitoring. Background technique

[0002] Wind turbine blades are one of the important components for wind turbines to convert wind energy into mechanical energy. They are the basis for obtaining higher wind energy utilization coefficients and economic benefits. The condition of the blades directly affects the performance and power generation efficiency of the whole machine. When the blade is running, the particles in the air around the blade will continue to corrode the leading edge of the blade: including raindrops, hail, salt spray, sand and stones, and wild high-altitude organisms, etc., the direct impact is to destroy the aerodynamic shape of the blade, thus It affects the aerodynamic performance of the entire unit, resulting in the loss of annual power generation. At...

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