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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MDPI AG
2023-09-01
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Series: | Machines |
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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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issn | 2075-1702 |
language | English |
last_indexed | 2024-03-10T22:31:43Z |
publishDate | 2023-09-01 |
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series | Machines |
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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