Generalized Resonance Sensor Based on Fiber Bragg Grating

Guohui Lyu,Shuli Sun,Hui Zhan,Yali Jiang,Enbo Wang,Hongwei Li,Xinxin Chen

doi:10.3390/photonics8050156

Abstract

In response to the difficulty of weak detection of early bearing damage, resonance demodulation technology and the principle of fiber Bragg grating sensing strain were combined to design a fiber Bragg grating generalized resonance sensor, which can extract the weak pulse signal of weak detection of early bearing’s early damage from rolling bearing. First, a principle of resonance dynamics of second-order mechanical systems based on fiber Bragg grating and generalized resonance principles is proposed. Second, the basic structure of the sensor is designed. Then, ANSYS finite element simulation is used to analyze the natural frequency of the sensor. Finally, the natural frequency value of the sensor was obtained through experiments. The experimental results of proof-of-principle show that the experimental results are consistent with the theoretical predictions. The theoretical model is accurate, which verifies the feasibility of the sensor.

Highlights

At present, due to accidents caused by frequent bearing damage at home and abroad, early bearing damage monitoring and diagnosis is a current focus of research [1,2]
The natural frequency test values were similar. Both were close to the ANSYS simulation fourth-order natural frequency of 6830 Hz. This proved that the generation of generalized resonance had nothing to do with the impact energy, and the natural frequency of the sensor was its nature and had nothing to do with the impact energy
This paper mainly studies the early damage monitoring method of bearing based on Fiber Bragg grating (FBG)

Summary

Introduction

Due to accidents caused by frequent bearing damage at home and abroad, early bearing damage monitoring and diagnosis is a current focus of research [1,2]. In the initial stage of bearing damage, damage vibration and shock are mainly distributed in the high-frequency range. This has a wide vibration frequency band, small amplitude and narrow width. It is necessary to conduct effective identification and rapid diagnosis of early bearing damage signals [3,4]. The vibration analysis method is the most commonly used method in bearing damage monitoring and diagnosis methods, and its sensitivity is higher than that of temperature monitoring methods. The temperature monitoring method has a drawback: the bearing temperature changes significantly when the bearing damage is severe [5]

Methods

Discussion

Conclusion