Arrangement method for leaf apex timing sensor used for distinguishing blade multi-modal vibration

Abstract

The invention discloses an arrangement method for a leaf apex timing sensor used for distinguishing blade multi-modal vibration. The method comprises the following steps that: measuring the revolvingspeed and the vibration frequency of a blade, on the basis of the revolving speed and the vibration frequency of the blade, determining the vibration order of the blade and the number of the leaf apextiming sensors; on the basis of the installation angle of the leaf apex timing sensor and the vibration order, constructing the design matrix of a blade vibration model; calculating the condition number of the design matrix; and taking the condition number of the design matrix as a target function, and utilizing an optimization algorithm to enable the condition number of the design matrix a to achieve a minimum value so as to determine the installation angle of the leaf apex timing sensor.

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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