Comprehensive Monitoring of Electrical Machine Parameters Using an Integrated Fiber Bragg Grating-Based Sensor System

Fabian, Matthias; Hind, David; Gerada, Chris; Sun, Tao; Grattan, K. T. V.

doi:10.1109/jlt.2017.2771143

Cited by 28 publications

(24 citation statements)

References 13 publications

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“…Fibre optic sensing has emerged as a promising alternative for electric motor condition monitoring: its application for machine mechanical and thermal monitoring [5][6][7][8][9][10][11][12] is attracting increased interest. FBG sensing technology, with its advanced features such as small size, EMI immunity, multiplexing and multi-physical sensing presents an attractive proposition for enabling targeted in-situ monitoring of bearing multi physical operating conditions.…”

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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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%

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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“…Qian et al put forward a noncontact method for the measurement of rotor speed and direction based on a quadrant photoelectric detector [ 8 ]. Fabian et al developed a multiparameter, multisensor system for comprehensive electrical machine condition monitoring [ 9 ], where the fiber Bragg grating-based system can provide simultaneous monitoring of key parameters, including machine vibration, rotor speed, torque, spin direction, and temperature distribution, along the stator windings and on the rotor surface as well as the stator wave frequency. Iura et al proposed an estimation method of rotational direction and speed according to the characteristic of an alternating current (AC) machine [ 10 ].…”

Section: Introductionmentioning

confidence: 99%

An Identification Method for Rotor Direction Based on Charge Induction

Chang

Zhang

Lin

et al. 2021

Sensors

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The detection of rotor motion is always key to ensure the normal operation of industrial sewing machines. This paper presents a novel method for rotor detection based on charge induction mechanism, which is suitable for industrial environments with high noise and electromagnetic radiation and is easy to install. Firstly, the principle of measuring rotor rotation based on charge induction is given. Then, the detection model of rotor direction identification based on two detection electrodes is established. Finally, details are given of the detection circuit design and the experiment that was carried out. The results show that the proposed method can effectively identify the noncontact rotor direction with and without occlusion, indicating that the method has excellent anti-interference capability. The accuracy of the method can be further improved by increasing the sampling rate and sampling points of the system.

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“…Fibre optic sensing has emerged as a promising alternative for electric machine condition monitoring: its application for machine mechanical and thermal monitoring [2], [10]- [13] is attracting increased interest. The FBG sensing technology, with its advanced features such as small size, Electromagnetic Interference Immune (EMI), multiplexing and multi-physical sensing presents a promising proposition for enabling targeted in-situ monitoring of machine multi physical operating conditions.…”

Section: Introductionmentioning

confidence: 99%

Electrical Machine Permanent Magnets Health Monitoring and Diagnosis Using an Air-Gap Magnetic Sensor

2020

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this study proposes a magnetic sensor design and application for monitoring the health of rotor magnets in permanent magnet (PM) electrical machines through in-situ observation of the air-gap magnetic flux density. The reported device employs the concept of Fibre Bragg Grating (FBG) strain sensing fusion with magnetostrictive material to deliver a machine stator slot wedge integrated sensor that allows straightforward installation and retrofit with no invasive action to core elements of the machine. The sensing theory, design, prototyping, calibration and installation of the proposed magnetic sensing scheme are detailed in the paper. The sensor was installed into an inverter driven surface mount PM synchronous machine (SPMSM) and its performance for in-situ observation of rotor PM magnetization conditions validated in a range of healthy and demagnetised PM conditions tests. The obtained experimental data demonstrate the reported device's capability to enable recognition of rotor PMs' magnetisation level and thus their health monitoring. Finally, a fault index is proposed and experimentally validated that allows the application of in-situ magnetic sensor measurements for relative quantification of PM demagnetization fault severity.

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Comprehensive Monitoring of Electrical Machine Parameters Using an Integrated Fiber Bragg Grating-Based Sensor System

Abstract: This is the accepted version of the paper.This version of the publication may differ from the final published version. Permanent repository link:

Cited by 28 publications

References 13 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

An Identification Method for Rotor Direction Based on Charge Induction

Electrical Machine Permanent Magnets Health Monitoring and Diagnosis Using an Air-Gap Magnetic Sensor

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