CN112129535A - Scraper conveyor bearing fault monitoring system based on fiber bragg grating sensing - Google Patents
Scraper conveyor bearing fault monitoring system based on fiber bragg grating sensing Download PDFInfo
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- CN112129535A CN112129535A CN202011191251.4A CN202011191251A CN112129535A CN 112129535 A CN112129535 A CN 112129535A CN 202011191251 A CN202011191251 A CN 202011191251A CN 112129535 A CN112129535 A CN 112129535A
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- scraper conveyor
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M13/00—Testing of machine parts
- G01M13/04—Bearings
- G01M13/045—Acoustic or vibration analysis
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H9/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves by using radiation-sensitive means, e.g. optical means
- G01H9/004—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves by using radiation-sensitive means, e.g. optical means using fibre optic sensors
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Abstract
The invention discloses a scraper conveyor bearing fault monitoring system based on fiber grating sensing, which comprises an acoustic emission signal end, wherein the output end of the acoustic emission signal end is connected with a fiber grating sensor, the fiber grating sensor is connected with a tunable F-P filter, the tunable F-P filter is connected with a processor, the processor carries out wavelet threshold denoising processing on the modulated signal, and a multimodal self-adaptive peak searching algorithm carries out multimodal self-adaptive peak searching on the denoised signal to obtain wavelength offset so as to obtain related measured information. The invention has the technical effects and advantages that: the system and the algorithm can improve the center wavelength detection precision of the distributed fiber bragg grating.
Description
Technical Field
The invention relates to the technical field of scraper conveyor bearing fault monitoring, in particular to a scraper conveyor bearing fault monitoring system based on fiber bragg grating sensing.
Background
The rolling scraper conveyor bearing is one of important parts of mechanical equipment, the health state of the rolling scraper conveyor bearing is closely related to the working performance of the whole machine, once a fault occurs, the production quality is reduced slightly, and a production accident is caused seriously, so that the fault of the scraper conveyor bearing needs to be diagnosed in time.
Acoustic emission technology has found widespread application in fault detection and monitoring of rotating machinery. The resonant piezoelectric sensor is the most common in the acoustic emission detection system, and compared with the resonant piezoelectric sensor, the Fiber Bragg Grating (FBG) has the advantages of miniature size, corrosion resistance, electrical insulation, simple structure, high reliability and good environmental adaptability, so that the acoustic emission technology and the Fiber Bragg Grating sensor are combined to further research on structural damage detection.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention provides a scraper conveyor bearing fault monitoring system based on fiber bragg grating sensing.
In order to achieve the purpose, the invention provides the following technical scheme:
a scraper conveyor bearing fault monitoring system based on fiber bragg grating sensing comprises an acoustic emission signal end, wherein the output end of the acoustic emission signal end is connected with a fiber bragg grating sensor, the fiber bragg grating sensor is connected with a tunable F-P filter, the tunable F-P filter is connected with a processor, the processor carries out wavelet threshold denoising processing on the modulated signal, and a multimodal self-adaptive peak searching algorithm is used for carrying out multimodal self-adaptive peak searching on the denoised signal to obtain a wavelength offset so as to obtain related measured information;
when the acoustic emission stress wave is transmitted to the fiber grating sensor, the period and the effective refractive index of the fiber grating can be modulated simultaneously, and finally the central wavelength of the reflected light of the fiber grating is modulated, wherein the formula is as follows: lambda [ alpha ]B＝2nneffΛ；
The wavelet threshold denoising processing adopts a wavelet soft threshold denoising algorithm: firstly, selecting a proper threshold, comparing the wavelet coefficient containing noise with the threshold, and if the wavelet coefficient is smaller than the threshold, considering the wavelet coefficient as noise, and directly setting the wavelet coefficient to zero; if the wavelet coefficient is larger than the threshold, the wavelet coefficient needs to be shrunk through a threshold function;
the multi-peak self-adaptive peak searching algorithm adopts a centroid method: the central wavelength of a reflection signal is obtained by calculating a weighted average value of the wavelengths, wherein a weighting coefficient is an optical power value of the reflection signal, in the demodulation process, if collected discrete data are regarded as mass points, the optical power represented by the ordinate of each point can be regarded as the mass of the point, and the peak position of the obtained waveform can be obtained by obtaining the abscissa of the centroid of all collected points in a group of data.
The system applies wavelength division multiplexing technology to form transmission channels.
The reflection spectrum curve of the FBG is close to Gaussian distribution, a Gaussian function can be approximated through the fitting of a sampled Gaussian curve, and then the peak position can be obtained from the fitted Gaussian function, and the formula is as follows:
the invention has the technical effects and advantages that: the system and the algorithm can improve the center wavelength detection precision of the distributed fiber bragg grating.
Drawings
FIG. 1 is a schematic diagram of the overall system architecture of the present invention;
FIG. 2 is a schematic diagram of wavelength division multiplexing technology to form transmission channels;
fig. 3 is a schematic diagram of a tunable F-P filter demodulation.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The system for monitoring the fault of the scraper conveyor bearing based on the fiber bragg grating sensing comprises an acoustic emission signal end, wherein the output end of the acoustic emission signal end is connected with a fiber bragg grating sensor, the fiber bragg grating sensor is connected with a tunable F-P filter, the tunable F-P filter is connected with a processor, the processor carries out wavelet threshold denoising processing on the modulated signal, and a multimodal self-adaptive peak searching algorithm carries out multimodal self-adaptive peak searching on the denoised signal to obtain a wavelength offset so as to obtain related measured information;
when the acoustic emission stress wave is transmitted to the fiber grating sensor, the period and the effective refractive index of the fiber grating can be modulated simultaneously, and finally the central wavelength of the reflected light of the fiber grating is modulated, wherein the formula is as follows: lambda [ alpha ]B＝2nneffΛ；
The wavelet threshold denoising processing adopts a wavelet soft threshold denoising algorithm: firstly, selecting a proper threshold, comparing the wavelet coefficient containing noise with the threshold, and if the wavelet coefficient is smaller than the threshold, considering the wavelet coefficient as noise, and directly setting the wavelet coefficient to zero; if the wavelet coefficient is larger than the threshold, the wavelet coefficient needs to be shrunk through a threshold function;
the multi-peak self-adaptive peak searching algorithm adopts a centroid method: the central wavelength of a reflection signal is obtained by calculating a weighted average value of the wavelengths, wherein a weighting coefficient is an optical power value of the reflection signal, in the demodulation process, if collected discrete data are regarded as mass points, the optical power represented by the ordinate of each point can be regarded as the mass of the point, and the peak position of the obtained waveform can be obtained by obtaining the abscissa of the centroid of all collected points in a group of data.
The system applies wavelength division multiplexing technology to form transmission channels.
The points to be finally explained are: first, in the description of the present application, it should be noted that, unless otherwise specified and limited, the terms "mounted," "connected," and "connected" should be understood broadly, and may be a mechanical connection or an electrical connection, or a communication between two elements, and may be a direct connection, and "upper," "lower," "left," and "right" are only used to indicate a relative positional relationship, and when the absolute position of the object to be described is changed, the relative positional relationship may be changed;
the above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that are within the spirit and principle of the present invention are intended to be included in the scope of the present invention.
Claims (4)
1. The utility model provides a scraper conveyor bearing fault monitoring system based on fiber grating sensing which characterized in that: the device comprises an acoustic emission signal end, wherein the output end of the acoustic emission signal end is connected with a fiber grating sensor, the fiber grating sensor is connected with a tunable F-P filter, the tunable F-P filter is connected with a processor, the processor carries out wavelet threshold denoising processing on the modulated signal, and a multimodal self-adaptive peak searching algorithm carries out multimodal self-adaptive peak searching on the denoised signal to obtain wavelength offset so as to obtain related measured information;
when the acoustic emission stress wave is transmitted to the fiber grating sensor, the period and the effective refractive index of the fiber grating can be modulated simultaneously, and finally the central wavelength of the reflected light of the fiber grating is modulated, wherein the formula is as follows: lambda [ alpha ]B＝2nneffΛ；
The wavelet threshold denoising processing adopts a wavelet soft threshold denoising algorithm: firstly, selecting a proper threshold value, and comparing the noise-containing wavelet coefficient with the threshold value;
the multi-peak self-adaptive peak searching algorithm adopts a centroid method: the central wavelength of a reflection signal is obtained by calculating a weighted average value of the wavelengths, wherein a weighting coefficient is an optical power value of the reflection signal, in the demodulation process, if collected discrete data are regarded as mass points, the optical power represented by the ordinate of each point can be regarded as the mass of the point, and the peak position of the obtained waveform can be obtained by obtaining the abscissa of the centroid of all collected points in a group of data.
2. The system for monitoring the fault of the scraper conveyor bearing based on the fiber bragg grating sensing is characterized in that: the system applies wavelength division multiplexing technology to form transmission channels.
3. The system for monitoring the fault of the scraper conveyor bearing based on the fiber bragg grating sensing is characterized in that: the reflection spectrum curve of the FBG is close to Gaussian distribution, a Gaussian function can be approximated through the fitting of a sampled Gaussian curve, and then the peak position can be obtained from the fitted Gaussian function, and the formula is as follows:
4. the system for monitoring the fault of the scraper conveyor bearing based on the fiber bragg grating sensing is characterized in that: if the wavelet coefficient is smaller than the threshold value, the wavelet coefficient is considered as noise, and the wavelet coefficient is directly set to zero; if the wavelet coefficient is greater than the threshold, the wavelet coefficient needs to be shrunk by a threshold function.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202011191251.4A CN112129535A (en) | 2020-10-30 | 2020-10-30 | Scraper conveyor bearing fault monitoring system based on fiber bragg grating sensing |
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| CN202011191251.4A CN112129535A (en) | 2020-10-30 | 2020-10-30 | Scraper conveyor bearing fault monitoring system based on fiber bragg grating sensing |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115014763A (en) * | 2022-05-07 | 2022-09-06 | 武汉理工大学 | Fiber bragg grating measuring system for monitoring main shaft faults and optimization method |
| CN116907556A (en) * | 2023-09-11 | 2023-10-20 | 武汉理工大学 | Distributed optical fiber sensing multi-feature hybrid demodulation system and method |
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2020
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115014763A (en) * | 2022-05-07 | 2022-09-06 | 武汉理工大学 | Fiber bragg grating measuring system for monitoring main shaft faults and optimization method |
| CN115014763B (en) * | 2022-05-07 | 2023-08-29 | 武汉理工大学 | Fiber bragg grating measurement system and optimization method for main shaft fault monitoring |
| CN116907556A (en) * | 2023-09-11 | 2023-10-20 | 武汉理工大学 | Distributed optical fiber sensing multi-feature hybrid demodulation system and method |
| CN116907556B (en) * | 2023-09-11 | 2024-04-16 | 武汉理工大学 | Distributed optical fiber sensing multi-feature hybrid demodulation system and method |
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Application publication date: 20201225 |