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Photonic Sensors

, Volume 8, Issue 1, pp 63–69 | Cite as

Study on influence of crack on the blade status using FBGs

  • Gang Xu
  • Lei Liang
  • Jianzhi Li
  • Huaping Mei
  • Hongli Li
  • Yijun Liu
Open Access
Regular
  • 143 Downloads

Abstract

The status detection for rotating parts is difficult since the sensor is influenced by the rotation in the inflammable, explosive, and strong magnetic environment. Based on the fiber Bragg grating sensing technology, this paper studies the influence of the natural frequency and deformation of a rotor blade affected by the size of crack in the blade. Test results show that the speed of the equipment and blade excited vibration frequency are two main factors or deformation and vibration frequency of the blade. With an increase in the crack depth, the blade deformation is increased while the stimulated natural frequency of the blade is decreased; at a low rotational speed, the deformation is mainly caused by the rotating speed of the blade. On the contrary, the vibration blade itself contributes to the deformation at a high speed. During the process of full speed rotation, the influence of the rotational speed on the blade deformation almost remains the same, and the influence of the natural vibration on blade deformation is increased with an increase in the rotational speed.

Keywords

Rotor blade fiber Bragg grating crack depth rotational speed blade frequency blade deformation 

Notes

Acknowledgement

This work was supported in part by the Project of Key Consulting Research of Chinese Academy of Engineering (2016-XZ-13), Project of the Key Laboratory for Health Monitoring and Control of Large Structures (201505), Science and technology planning project of Zhongshan City, Guangdong Province (2015A2028), and Project of Hubei Engineering University (Nos: 201513 and 201611).

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Copyright information

© The Author(s) 2017

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Authors and Affiliations

  • Gang Xu
    • 1
    • 3
  • Lei Liang
    • 1
  • Jianzhi Li
    • 2
  • Huaping Mei
    • 3
  • Hongli Li
    • 3
  • Yijun Liu
    • 1
  1. 1.National Engineering Laboratory of Fiber Optic Sensing TechnologyWuhan University of TechnologyWuhanChina
  2. 2.The Key Laboratory for Health Monitoring and Control of Large StructuresShijiazhuangChina
  3. 3.School of Mechanical EngineeringHubei Engineering UniversityXiaoganChina

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