A Study of Frequency Domain Reflectometry Technique for High-Voltage Rotating Machine Winding Condition Assessment

Detecting and locating local degradations at an incipient stage is very important for mission-critical high-voltage rotating machines. One particular challenge in the existing testing techniques is that the characteristic of a local incipient defect is not prominent due to various factors such as av...

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Main Authors: Jialu Cheng, Yizhou Zhang, Hao Yun, Liang Wang, Nathaniel Taylor
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Machines
Subjects:
Online Access:https://www.mdpi.com/2075-1702/11/9/883
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author Jialu Cheng
Yizhou Zhang
Hao Yun
Liang Wang
Nathaniel Taylor
author_facet Jialu Cheng
Yizhou Zhang
Hao Yun
Liang Wang
Nathaniel Taylor
author_sort Jialu Cheng
collection DOAJ
description Detecting and locating local degradations at an incipient stage is very important for mission-critical high-voltage rotating machines. One particular challenge in the existing testing techniques is that the characteristic of a local incipient defect is not prominent due to various factors such as averaging with the healthy remainder, attenuation in signal propagation, interference, and varied operating conditions. This paper proposes and investigates the frequency domain reflectometry (FDR) technique based on the scattering parameter measurement. The FDR result presents the object length, wave impedance, and reflections due to impedance discontinuity along the measured windings. Experiments were performed on two commercial coils with artificially created defects. These defects include turn-to-turn short, surface creepage, loose coils, insufficient end-winding spacing, and local overheating, which are commonly seen in practice. Two practical water pumps in the field were also selected for investigation. The study outcome shows that FDR can identify and locate structural and insulation degradation in both shielded and unshielded objects with good sensitivity. This makes FDR a complementary technique for machine fault diagnosis and aging assessment.
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spelling doaj.art-1697ff00e2bf438e94c4df0d781e21762023-11-19T11:40:40ZengMDPI AGMachines2075-17022023-09-0111988310.3390/machines11090883A Study of Frequency Domain Reflectometry Technique for High-Voltage Rotating Machine Winding Condition AssessmentJialu Cheng0Yizhou Zhang1Hao Yun2Liang Wang3Nathaniel Taylor4School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, SE-100 44 Stockholm, SwedenChina Nuclear Power Operation Technology Co., Ltd., Minzu Road 1021, Wuhan 430073, ChinaChina Nuclear Power Operation Technology Co., Ltd., Minzu Road 1021, Wuhan 430073, ChinaChina Nuclear Power Operation Technology Co., Ltd., Minzu Road 1021, Wuhan 430073, ChinaSchool of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, SE-100 44 Stockholm, SwedenDetecting and locating local degradations at an incipient stage is very important for mission-critical high-voltage rotating machines. One particular challenge in the existing testing techniques is that the characteristic of a local incipient defect is not prominent due to various factors such as averaging with the healthy remainder, attenuation in signal propagation, interference, and varied operating conditions. This paper proposes and investigates the frequency domain reflectometry (FDR) technique based on the scattering parameter measurement. The FDR result presents the object length, wave impedance, and reflections due to impedance discontinuity along the measured windings. Experiments were performed on two commercial coils with artificially created defects. These defects include turn-to-turn short, surface creepage, loose coils, insufficient end-winding spacing, and local overheating, which are commonly seen in practice. Two practical water pumps in the field were also selected for investigation. The study outcome shows that FDR can identify and locate structural and insulation degradation in both shielded and unshielded objects with good sensitivity. This makes FDR a complementary technique for machine fault diagnosis and aging assessment.https://www.mdpi.com/2075-1702/11/9/883condition-based diagnosisfault locatingfrequency domain reflectometry (FDR)insulation degradationrotating machinesstator winding
spellingShingle Jialu Cheng
Yizhou Zhang
Hao Yun
Liang Wang
Nathaniel Taylor
A Study of Frequency Domain Reflectometry Technique for High-Voltage Rotating Machine Winding Condition Assessment
Machines
condition-based diagnosis
fault locating
frequency domain reflectometry (FDR)
insulation degradation
rotating machines
stator winding
title A Study of Frequency Domain Reflectometry Technique for High-Voltage Rotating Machine Winding Condition Assessment
title_full A Study of Frequency Domain Reflectometry Technique for High-Voltage Rotating Machine Winding Condition Assessment
title_fullStr A Study of Frequency Domain Reflectometry Technique for High-Voltage Rotating Machine Winding Condition Assessment
title_full_unstemmed A Study of Frequency Domain Reflectometry Technique for High-Voltage Rotating Machine Winding Condition Assessment
title_short A Study of Frequency Domain Reflectometry Technique for High-Voltage Rotating Machine Winding Condition Assessment
title_sort study of frequency domain reflectometry technique for high voltage rotating machine winding condition assessment
topic condition-based diagnosis
fault locating
frequency domain reflectometry (FDR)
insulation degradation
rotating machines
stator winding
url https://www.mdpi.com/2075-1702/11/9/883
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