Condition monitoring of a subsea pump using fibre optic sensing

Jones, Kevin M.; Staveley, Chris; Vialla, Jean-Francois

doi:10.1117/12.2059837

Cited by 3 publications

(4 citation statements)

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“…FBG sensing application for electric machine bearings monitoring is only starting to be examined, with very recent reports suggesting encouraging potential for this application [13][14][15][16][17]. However, these studies largely focus on strain monitoring only [13][14][15][16], and are performed on standalone bearings, where sensing is implemented within the bearing housing and not on the actual bearing geometry within an operating electric machine. [13] [17] examines the potential for use of FBG sensing to attain in-situ multi-physical monitoring in a single point of a healthy electric machine bearing operated at nominal conditions.…”

Section: Introductionmentioning

confidence: 99%

“…However, these studies largely focus on strain monitoring only [13][14][15][16], and are performed on standalone bearings, where sensing is implemented within the bearing housing and not on the actual bearing geometry within an operating electric machine. [13] [17] examines the potential for use of FBG sensing to attain in-situ multi-physical monitoring in a single point of a healthy electric machine bearing operated at nominal conditions. This paper further explores the in-situ FBG sensing application for condition monitoring bearings of operating electric machines to provide full detail of the methodology devised to simultaneously extract multi-physical measurands and examine FBG multiplexing application.…”

Section: Introductionmentioning

confidence: 99%

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Electric Machine Bearing Health Monitoring and Ball Fault Detection by Simultaneous Thermo-Mechanical Fibre Optic Sensing

Mohammed

Djurović

2021

IEEE Trans. Energy Convers.

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Abstract-this paper reports the use of fiber Bragg grating (FBG) sensors for electric machines' in-service bearing condition monitoring. The proposed method enables simultaneous extraction of thermal and mechanical information on the bearing operational status for health monitoring and fault diagnosis purposes. The work first reports the instrumentation, calibration and the measurements interpretation methods of an FBG array sensor fitted to the drive-end bearing of an operating inverter driven induction motor. Experimental tests are then undertaken on a purpose build test rig to evaluate the proposed in-situ sensing scheme's performance under healthy and faulted bearing conditions. The results demonstrate that the measurements acquired by individual FBG sensors fitted in the bearing architecture contain concurrent thermal and mechanical information, which can be clearly differentiated to enable understanding of the examined motor bearing's thermal only and mechanical only operating conditions. Furthermore the in-situ measurements obtained in fault conditions are shown to contain clearly defined time and frequency domains fault signatures, which can enable unambiguous fault diagnosis and trending.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Electric Machine Bearing Health Monitoring and Ball Fault Detection by Simultaneous Thermo-Mechanical Fibre Optic Sensing

Mohammed

Djurović

2021

IEEE Trans. Energy Convers.

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“…Fibre Bragg gratings (FBG) are one form of sensors commonly used in FOS because of their simple but effective multi-signature sensing capability when multiplexed on a single fibre. FBGs are apposite for distributed sensing and redundant measurements thus, increasing sensor reliability and robustness with insignificant additional cost.FBG sensors used in electric machines are bonded to a metallic surface (either around the cast frame or on the stator windings; [4][5][6][7][8][9][10][11]) using an adhesive. One rare exception is the use of rotary joints with FBGs [12] which is an uncommon application.…”

Section: Introductionmentioning

confidence: 99%

Investigation of the Effect of Bonding Points on Metal Surface-Mounted FBG Sensors for Electric Machines

Alalibo¹,

Cao²,

Gbadebo³

et al. 2019

PIER C

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Fibre Bragg Gratings (FBGs) offer several advantages including their immunity to electromagnetic fields making them excellent in situ sensors for feature extraction in electrical machines condition monitoring. However, the pre-requisite of bonding FBGs circumferentially on either the machine cast frame or stator windings can introduce undesired sensing characteristics. This is because the FBG relies on adhesives as the transfer medium for any sensed parameter between the machine and sensor. Whilst FBG sensors rely mainly on wavelength shift, an intolerably low signal-to-noise ratio will result in difficulty in measuring such shifts. As a complementary signature, differential optical power can be combined with wavelength shift to broaden the feature extraction capability of FBG sensors. This makes power level (dBm) an important sensing parameter for FBG sensors. The effect of varying number of bonding points on transmitted optical power is investigated using unstripped and stripped bare fibres as well as an actual FBG sensor. Increasing the number of bonding points beyond an optimum number has been observed to significantly attenuate the optical signal power level and quality for a given dynamic range. Hence, as the number of bonding points is increased, the level of attenuation should be closely monitored to ensure that the optimum number is not exceeded if excellent and accurate FBG sensing characteristics are to be realised.

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“…The strain was measured by a fiber Bragg grating (FBG) sensor, whose characteristics are described by Kersey, Davis, Patrick, LeBlanc, Koo, Askins, Putnam and Friebele (1997). An implementation of basic bearing condition monitoring to of a subsea pump using FBG are presented by Jone, Staveley and Vialla(2014).…”

Section: Introductionmentioning

confidence: 99%

Bearing health monitoring using optical fiber sensors

et al. 2016

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Bearings are vital elements in rotating machinery. Failures in bearings can result in irreversible damage. Therefore, early detection of bearing damage and monitoring of fault severity are necessary for optimization of maintenance decisions.The classical methods for bearing monitoring are based on analysis of vibration signals captured by accelerometers, usually located on the machine case. Two difficulties arise when diagnosing bearings in that manner. The first difficulty is the distortion of the signals due to the transmission path to the sensor. The second difficulty is the characteristic low signal to noise ratio, resulting from the weak bearing signals in the presence of the strong surrounding noise, originating from the vibrations of other rotating components in the machine.The goal of the present study was to research the possibility of using an optical fiber sensor of the Fiber Bragg Grating (FBG) type, which senses strain and temperature changes, for bearing diagnostics. Due to its small dimensions, this sensor can be embedded close to, or even inside the bearing, suggesting a possible solution to the two difficulties which were discussed above.The results of this study open new options to monitor and detect early failure signs in critical bearings. FBG-based diagnostics was found applicable and useful for detecting damage in bearings.The analysis of signals measured on bearings with various widths of spall, demonstrates the power of the FBG-based local sensing methodology. In addition, the study also aimed to understand the capabilities and limitations of FBG for wideband sensing, and the effect of different sensor attaching techniques on the signal.

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Condition monitoring of a subsea pump using fibre optic sensing

Cited by 3 publications

References 0 publications

Electric Machine Bearing Health Monitoring and Ball Fault Detection by Simultaneous Thermo-Mechanical Fibre Optic Sensing

Electric Machine Bearing Health Monitoring and Ball Fault Detection by Simultaneous Thermo-Mechanical Fibre Optic Sensing

Investigation of the Effect of Bonding Points on Metal Surface-Mounted FBG Sensors for Electric Machines

Bearing health monitoring using optical fiber sensors

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