Simulation design of fiber Bragg grating resonant sensor for train bearing damage detection

Lyu, Guohui; Jiang, Yali; Wang, Chaozheng; Zhao, Jushang; Che, Guohang; Jiang, Xu

doi:10.1109/acp.2018.8595881

Cited by 3 publications

(2 citation statements)

References 1 publication

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“…Figure 5 shows the spring-mass model of equivalent stiffness transformation. This model is mainly a second-order single-degree-of-freedom system composed of an inertial mass m, an elastic coefficient k and a damper c [23][24][25]. When the excitation force in the vertical direction of a period is applied to the sensor, the amplitude of the excitation force is set as H and the circular frequency is ω, and the expression of the excitation force is as follows:…”

Section: Principle Of Resonance Sensor Bearing Damage Sensingmentioning

confidence: 99%

“…A mass block with a hole in the center and an elastomer with a hole in the center are arranged in the protective shell, and the mass block is located above the elastomer. A bolt with a hole in the center passes vertically through the center hole of the elastomer and the mass block to cure the FBG [23].…”

Section: Structure Design Of Resonant Bearing Detection Sensormentioning

confidence: 99%

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Early Weak Fault Diagnosis of Rolling Bearings Based on Fiber Bragg Grating Sensing Monitoring

et al. 2021

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Aiming at the problems of weak dynamic response and difficulty in diagnosis of early damage of rolling bearings, a diagnosis method for early damage of rolling bearings is proposed. Taking radial rolling bearings as the main research object, the load symmetric structure of deep groove ball bearings is analyzed. Based on the mechanical second-order system theory, the sensor monitoring structure is constructed. The generalized resonance principle is used to identify weak signals, and the fiber Bragg grating is used for signal sensing. The signal is obtained through the fiber Bragg grating high-speed demodulator. When a continuous periodic generalized resonance wave appears in the amplitude–frequency analysis of the signal, and there is a high-frequency resonance frequency, it can be proved that the bearing is faulty. The diagnosis method can effectively avoid the interference of low-frequency signals, the frequency spectrum is pure and there is no electromagnetic interference. It fully shows that the fiber Bragg grating sensor is suitable for the monitoring and diagnosis of the early weak fault of the bearing.

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Section: Principle Of Resonance Sensor Bearing Damage Sensingmentioning

confidence: 99%

Section: Structure Design Of Resonant Bearing Detection Sensormentioning

confidence: 99%

Early Weak Fault Diagnosis of Rolling Bearings Based on Fiber Bragg Grating Sensing Monitoring

et al. 2021

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Resonance Detection Method and Realization of Bearing Fault Signal Based on Kalman Filter and Spectrum Analysis

Chen

Sun

2023

Applied Sciences

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The rolling bearing is an important part of mechanical equipment, and its performance significantly affects the quality and life of the mechanical equipment. This article uses the integrated fiber Bragg grating resonant structure sensor excited by periodic micro-shocks caused by micro faults to realize the extraction of information relating to potential faults. Because the fault signal is weak and can easily be interfered with by ambient noise, in order to extract the effective signal, this article determines the autoregressive model of bearing vibration by the final prediction error criterion and the recursive least squares estimation algorithm. The augmented state space model is established based on the autoregressive model. A Kalman filter is used to reduce the noise interference, and then the reduction noisy signal is analyzed by power spectrum and improved autocorrelation envelope spectrum to realize the detection of bearing faults. Through data analysis and method comparison, the proposed improved autocorrelation envelope spectrum analysis can directly extract the bearing fault frequency, which is superior to other methods such as cepstral analysis.

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Generalized Resonance Sensor Based on Fiber Bragg Grating

et al. 2021

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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.

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Simulation design of fiber Bragg grating resonant sensor for train bearing damage detection

Cited by 3 publications

References 1 publication

Early Weak Fault Diagnosis of Rolling Bearings Based on Fiber Bragg Grating Sensing Monitoring

Early Weak Fault Diagnosis of Rolling Bearings Based on Fiber Bragg Grating Sensing Monitoring

Resonance Detection Method and Realization of Bearing Fault Signal Based on Kalman Filter and Spectrum Analysis

Generalized Resonance Sensor Based on Fiber Bragg Grating

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