Arrangement method of blade tip timing sensor for identification of blade multi-mode vibration

Abstract

The invention discloses a method for arranging a blade tip timing sensor for identifying multi-mode vibration of a blade. The method includes: measuring the rotational speed and vibration frequency of the blade, and determining the vibration order and frequency of the blade based on the rotational speed and vibration frequency of the blade. The number of timing sensors at the tip of the blade; the design matrix of the blade vibration model is constructed based on the installation angle of the timing sensor at the tip of the blade and the vibration order; the condition number of the design matrix is ​​calculated; the condition number of the design matrix is ​​used as an objective function, and the optimization algorithm is used to make the design matrix When the condition number reaches the minimum value, the installation angle of the tip timing sensor is determined.

Description

technical field [0001] The invention belongs to the technical field of vibration testing of aero-engine and gas turbine blades, in particular to a method for arranging blade-end timing sensors for identifying multi-mode vibration of blades. Background technique [0002] Rotating blades are important components in aero-engines. The harsh environment of the aero-engine is likely to cause the blades to vibrate, which in turn leads to damage such as cracks on the blades. Every year, airlines invest huge sums of money in engine maintenance and monitoring. In order to reduce the operation and maintenance cost of aero-engines while ensuring flight safety, condition-based maintenance is the goal pursued by airlines. When damage such as fatigue cracks occurs on the aeroengine blade, its vibration state will change. During the operation of the aero-engine, the real-time monitoring of the blade vibration parameters can effectively grasp the working condition and damage degree of the...

AI Technical Summary

Problems solved by technology

Since the data collected by the blade-tip timing sensor is seriously under-sampled, the traditional spectrum signal analysis method will cause the frequency aliasing of the analysis results, and the blade vibration parameters cannot be extracted correctly.

Although there are some processing algorithms for timing undersampled signals at the leaf end, if the layout of the sensor is not reasonable, the reconstructed signal will be susceptible to noise and some key information will be lost

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