A Fiber Bragg Grating Based Torsional Vibration Sensor for Rotating Machinery

Wang, Jingjing; Wei, Li; Li, Ruiya; Liu, Qin; Liang, Yu

doi:10.3390/s18082669

Cited by 10 publications

(4 citation statements)

References 10 publications

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“…Sensing instruments now exist that have been designed to collect data from equipment across a range of key performance variables such as vibration (Bindu and Thomas, 2014;Wang et al, 2018;Xu et al, 2018); temperature (Antunes et al, 2012) and many other variables that include but are not limited to:…”

Section: Sensing and Predictive Analyticsmentioning

confidence: 99%

Predictive condition-based monitoring for low utilisation motor driven flood risk management infrastructure

Tarrant¹,

Solts²,

Carman³

et al. 2021

Science and Practice for an Uncertain Future

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This paper describes the ambition of the Environment Agency to develop and trial predictive condition-based monitoring systems for its mechanical and electrical flood risk management equipment. The aims, objective and research methods for this project are described. The challenge of developing any predictive capability for flood risk management assets which, typically have a low frequency of operation and therefore a paucity of data, is discussed. Some practical suggestions to overcome this specific challenge are presented.

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Section: Sensing and Predictive Analyticsmentioning

confidence: 99%

Predictive condition-based monitoring for low utilisation motor driven flood risk management infrastructure

Tarrant¹,

Solts²,

Carman³

et al. 2021

Science and Practice for an Uncertain Future

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“…For reasons similar to those applying to accelerometers, another contactless method based on tensometric bridges was excluded as well. A method using the newest sensors with fiber grating (FBG—fiber Bragg grating) could not be applied either [ 25 ].…”

Section: Introductionmentioning

confidence: 99%

Spectral Analysis of Torsional Vibrations Measured by Optical Sensors, as a Method for Diagnosing Injector Nozzle Coking in Marine Diesel Engines

Drewing

Witkowski

2021

Sensors

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The study aimed to verify whether it is possible to diagnose the coking of a marine diesel engine injector nozzle by performing a spectral analysis of the crankshaft’s torsional vibrations. The measurements were taken using laser heads, clocked at 16 MHz. The reasons for selecting this type of optical sensors are described as well. The tests were carried out under laboratory conditions, using a test stand with a Sulzer 3AL 25/3 engine, operating under a load created by a Domel GD8 500–50/3 electric generator. A unique method is presented in the paper, which enables the measuring and calculation of torsional vibrations of engine crankshafts. The method was developed at the Chair of Marine Power Plants at the Maritime University of Gdynia. It has been proven that the distribution of differences in the values of individual harmonic components depends on the location of a defective injector nozzle in the cylinder.

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“…Subsequently, Li et al reported a vibration sensor based on ultra-weak FBGs with a frequency response range from 10 to 1000 Hz [22]. Wang et al presented a torsional vibration sensor based on a fiber Bragg grating with sensitivity of 0.3603 pm/(rad/s 2 ) [23]. In most cases, the fabrication of FBGs requires additional refractive index modulation using costly elaborate hardware.…”

Section: Introductionmentioning

confidence: 99%

In-Fiber Collimator-Based Fabry-Perot Interferometer with Enhanced Vibration Sensitivity

et al. 2019

Sensors

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A simple vibration sensor is proposed and demonstrated based on an optical fiber Fabry-Perot interferometer (FPI) with an in-fiber collimator. The device was fabricated by splicing a quarter-pitch graded index fiber (GIF) with a section of a hollow-core fiber (HCF) interposed between single mode fibers (SMFs). The static displacement sensitivity of the FPI with an in-fiber collimator was 5.17 × 10−4 μm−1, whereas the maximum static displacement sensitivity of the device without collimator was 1.73 × 10−4 μm−1. Moreover, the vibration sensitivity of the FPI with the collimator was 60.22 mV/g at 100 Hz, which was significantly higher than the sensitivity of the FPI without collimator (11.09 mV/g at 100 Hz). The proposed FPI with an in-fiber collimator also exhibited a vibration sensitivity nearly one order of magnitude higher than the device without the collimator at frequencies ranging from 40 to 200 Hz. This low-cost FPI sensor is highly-sensitive, robust and easy to fabricate. It could potentially be used for vibration monitoring in remote and harsh environments.

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A Fiber Bragg Grating Based Torsional Vibration Sensor for Rotating Machinery

Cited by 10 publications

References 10 publications

Predictive condition-based monitoring for low utilisation motor driven flood risk management infrastructure

Predictive condition-based monitoring for low utilisation motor driven flood risk management infrastructure

Spectral Analysis of Torsional Vibrations Measured by Optical Sensors, as a Method for Diagnosing Injector Nozzle Coking in Marine Diesel Engines

In-Fiber Collimator-Based Fabry-Perot Interferometer with Enhanced Vibration Sensitivity

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