Double Fed Induction Generator Shaft Misalignment Monitoring by FBG Frame Strain Sensing

Wang, Yingzhao; Mohammed, Anees; Sarma, Nur; Djurović, Siniša

doi:10.1109/jsen.2020.2984309

Cited by 10 publications

(5 citation statements)

References 30 publications

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“…FBG monitoring for in situ sensing applications in electrical machines has received increased research attention due to the number of advantages it can inherently provide for installation and monitoring within machine geometries, including [21][22][23][24]:…”

Section: Fbg Sensing Application In Electric Machinesmentioning

confidence: 99%

Fiber Optic Fiber Bragg Grating Sensing for Monitoring and Testing of Electric Machinery: Current State of the Art and Outlook

et al. 2022

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This paper presents a review of the recent trends and the current state of the art in the application of fiber optic fiber Bragg gratings (FBG) sensing technology to condition the monitoring (CM) and testing of practical electric machinery and the associated power equipment. FBG technology has received considerable interest in this field in recent years, with research demonstrating that the flexible, multi-physical, and electromagnetic interference (EMI) immune in situ sensing of a multitude of physical measurands of CM interest is possible and cannot be obtained through conventional sensing means. The unique FBG sensing ability has the potential to unlock many of the electric machine CM and design validation restrictions imposed by the limitations of conventional sensing techniques but needs further research to attain wider adoption. This paper first presents the fundamental principles of FBG sensing. This is followed by a description of recent FBG sensing techniques proposed for electric machinery and associated power equipment and a discussion of their individual benefits and limitations. Finally, an outlook for the further application of this technique is presented. The underlying intention is for the review to provide an up-to-date overview of the state of the art in this area and inform future developments in FBG sensing in electric machinery.

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Section: Fbg Sensing Application In Electric Machinesmentioning

confidence: 99%

Fiber Optic Fiber Bragg Grating Sensing for Monitoring and Testing of Electric Machinery: Current State of the Art and Outlook

et al. 2022

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“…However, when compared to FBG-T stray flux sensing, two main advantages of the latter over GMR stand out. First, GMR effect is such that the output resistive signal is linearly proportional to the stray field [36] whereas for FBG-T, the magnetostrictive effect of terfenol-D is proportional to the square of the stray field. This translates into even higher sensitivity for FBG-T compared to GMR sensors.…”

Section: Gmr Versus Fbg-t Stray Flux Sensing Techniquesmentioning

confidence: 99%

FBG-T Sensor for Non-intrusive Broken Rotor Fault Severity Detection in Induction Machines

Alalibo¹,

Cao²,

Ji³

et al. 2022

Lecture Notes in Electrical Engineering

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Fiber bragg gratings (FBG) as optical sensors continue to gain increasing relevance in sensing and instrumentation owing to their numerous advantages including immunity to electromagnetic interference (EMI). This paper experiments on the use of a giant magnetostrictive material, Terfenol-D bonded to an FBG hereafter called FBG-T to detect external flux from electrical machines in a noninvasive manner. A DC motor and two identically rated three phase induction motors, FBG-T were used for rotor cage damage detection in this work. Further damage to the faulty rotor was carried out to observe if the FBG-T would distinguish severity in machine fault condition. Results show that the more severely faulted machine experienced the most Braggshift of about 20pm more than the healthy machine at 5Hz, compared to the less severely faulted machine which showed about 15pm more than the healthy machine. Another striking observation was the consistency in the distinct and deviant path followed by both faulty motor conditions when compared to the healthy motor. The more severe the rotor damage fault was, the larger the divergence from the healthy motor signature. The results do show that the faulty machine with the broken rotor consistently recorded more Braggshifts than the healthy motor at all frequencies. This resulted in a distinct and aberrant sensing profile which detects the fault in a non-intrusive manner. In addition to observed bragg shifts, divergence levels in grating profile from the healthy reference condition was used to succinctly detect the fault severity in the induction motor condition. This is hugely significant because of the non-intrusive nature of the technique given the ease-of-breakage and the challenges faced when FBG installed in machine stator slots are to be replaced. This technique easily overcomes the inevitable requirements of the offline FBG replacement and its associated economic costs including downtime.

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“…Fiber Bragg grating (FBG) sensor measurement for WTs has increasingly been researched as a promising alternative CM technique due to its advantages such as lower signal-to-noise ratio, immunity to electromagnetic interference, small sensor size, flexibility, multiplexing, and multi-physical sensing capability [28,[71][72][73]]. An FBG sensor contains a specially fabricated optic fiber, which is thin, flexible, and transparent and can reflect particular wavelengths of light from distinct fiber locations exposed to physical excitation (e.g., temperature, strain, and others).…”

Section: Fiber Bragg Grating Sensors Measurementmentioning

confidence: 99%

“…FBG measurement is commercially used in WT as a leading solution for monitoring of WT blade stress [71]. Due to its inherent advantages, the technology has also received recent research attention for application in drivetrain CM and power devices in general and has been shown to have promising potential to enable advanced in situ CM solutions for generators and also the power electronics components [72,[75][76][77][78][79][80][81][82]. FBG monitoring is currently not commercially used for WT drivetrain CM.…”

Section: Fiber Bragg Grating Sensors Measurementmentioning

confidence: 99%

Intelligent Condition Monitoring of Wind Power Systems: State of the Art Review

et al. 2021

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Modern wind turbines operate in continuously transient conditions, with varying speed, torque, and power based on the stochastic nature of the wind resource. This variability affects not only the operational performance of the wind power system, but can also affect its integrity under service conditions. Condition monitoring continues to play an important role in achieving reliable and economic operation of wind turbines. This paper reviews the current advances in wind turbine condition monitoring, ranging from conventional condition monitoring and signal processing tools to machine-learning-based condition monitoring and usage of big data mining for predictive maintenance. A systematic review is presented of signal-based and data-driven modeling methodologies using intelligent and machine learning approaches, with the view to providing a critical evaluation of the recent developments in this area, and their applications in diagnosis, prognosis, health assessment, and predictive maintenance of wind turbines and farms.

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Double Fed Induction Generator Shaft Misalignment Monitoring by FBG Frame Strain Sensing

Cited by 10 publications

References 30 publications

Fiber Optic Fiber Bragg Grating Sensing for Monitoring and Testing of Electric Machinery: Current State of the Art and Outlook

Fiber Optic Fiber Bragg Grating Sensing for Monitoring and Testing of Electric Machinery: Current State of the Art and Outlook

FBG-T Sensor for Non-intrusive Broken Rotor Fault Severity Detection in Induction Machines

Intelligent Condition Monitoring of Wind Power Systems: State of the Art Review

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