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Blade Vibration Feature Identification Method and System Based on Compressive Sensing

A technology of compressed sensing and blades, which is applied in vibration testing, testing of machine/structural components, measuring devices, etc., to achieve the effects of improving monitoring quality, improving timing sampling signal quality at blade ends, and improving identification accuracy

Active Publication Date: 2020-04-28
XI AN JIAOTONG UNIV
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Problems solved by technology

The traditional monitoring method of blade vibration characteristics cannot meet the needs of online monitoring of blades. Therefore, in order to detect common cracks and foreign object damage accidents of blades, it is necessary to develop a higher-precision online monitoring method of blade vibration characteristics.

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  • Blade Vibration Feature Identification Method and System Based on Compressive Sensing
  • Blade Vibration Feature Identification Method and System Based on Compressive Sensing
  • Blade Vibration Feature Identification Method and System Based on Compressive Sensing

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Embodiment Construction

[0019] Attached below Figure 1 to Figure 8 and Examples describe the present invention in detail, but not as a limitation of the present invention.

[0020] In one embodiment, the present disclosure discloses a compressive sensing-based blade vibration feature identification method, such as figure 1 shown, including the following steps,

[0021] S1. A compressed sensing model is established for the sampling process of the timing signal at the blade end.

[0022] S2. Based on the ANSYS simulation software drawing and analysis of the blade Campbell diagram, determine the resonance speed range to be measured; based on the diameter of the blade tip timing sensor used, determine the minimum installation interval of the blade tip timing sensor; based on the engine case structure used, determine Tip timing sensor non-installation location.

[0023] S3. Avoid sampling redundancy in the resonant speed range, establish the number of sampling columns at the minimum installation inter...

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Abstract

The invention discloses a blade vibration characteristic identification method and system based on compressed sensing. The blade vibration characteristic identification method comprises the followingsteps: establishing a compressed sensing model for a sampling process of a blade-end timing signal; determining a to-be-detected resonance rotation speed interval, a blade-end timing sensor minimum installation interval and a blade-end timing sensor non-installation position; avoiding sampling redundancy of the resonance rotation speed interval, setting a sampling column number of the blade-end timing sensor minimum installation interval, deleting the blade-end timing sensor non-installation position, and calculating an optimum solution for the layout of the blade-end timing sensor conformingto the compressed sensing model; and according to the optimum solution for the layout of the blade-end timing sensor, establishing a blade sampling signal sparse representation model and a blade tip characteristic extraction optimization model, and obtaining blade vibration characteristic parameters by adopting a characteristic identification algorithm based on iterative reweighted L1. By adoptingthe blade vibration characteristic identification method and system, the blade vibration parameter identification accuracy can be effectively improved, and the online monitoring quality of blades canbe improved.

Description

technical field [0001] The invention relates to a blade vibration feature identification method and system based on compressed sensing, which belongs to the field of blade non-contact testing. Background technique [0002] The traditional blade testing method is mainly the strain gauge method, which is inconvenient to install and not suitable for online monitoring. Blade tip timing is developed based on the pulse modulation method, which is a research hotspot in the current non-contact measurement method. For aero-engines, online monitoring and fault diagnosis systems are necessary conditions to ensure their normal operation. The traditional monitoring method of blade vibration characteristics cannot meet the needs of online monitoring of blades. Therefore, in order to detect common cracks and foreign object damage accidents of blades, it is necessary to develop a higher-precision online monitoring method of blade vibration characteristics. Contents of the invention [0...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01M7/02G06F30/20
Inventor 陈雪峰吴淑明杨志勃赵志斌李浩琪王增坤
Owner XI AN JIAOTONG UNIV
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