Condition monitoring of brushless synchronous generators using wireless sensors

The conventional condition monitoring systems for Brushless synchronous generators (BLSGs) are predominantly based on externally available signals, while the internal signals, especially on the rotor, remain relatively unexplored. Given that rotor-based faults have been identified as more critical f...

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Main Author: Sampath Kumar Padmanabhan
Other Authors: Xie Lihua
Format: Thesis-Doctor of Philosophy
Language:English
Published: Nanyang Technological University 2019
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Online Access:https://hdl.handle.net/10356/89886
http://hdl.handle.net/10220/47732
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-898862023-07-04T16:33:41Z Condition monitoring of brushless synchronous generators using wireless sensors Sampath Kumar Padmanabhan Xie Lihua School of Electrical and Electronic Engineering ELHXIE@ntu.edu.sg DRNTU::Engineering::Electrical and electronic engineering The conventional condition monitoring systems for Brushless synchronous generators (BLSGs) are predominantly based on externally available signals, while the internal signals, especially on the rotor, remain relatively unexplored. Given that rotor-based faults have been identified as more critical for the BLSG, the measurements made internal to the machine could prove to be more sensitive compared to these external measurements. To access these internal signals, wireless sensors offer an effective solution in terms of cost and ease of deployment. In realizing such a Wireless-Condition Monitoring System (Wi-CMS), the two key challenges which need to be addressed are: (1) establishing reliable access to internal signals and (2) demonstrating the improvement in diagnostic performance with the internal signals. In this thesis, an experimental feasibility study to evaluate the wireless RF link performance is presented. An evaluation of fault indicators is conducted and using a data-based approach, the improvement in diagnostic performance achieved by Wi-CMS is presented. Doctor of Philosophy 2019-02-27T04:59:37Z 2019-12-06T17:35:53Z 2019-02-27T04:59:37Z 2019-12-06T17:35:53Z 2019 Thesis-Doctor of Philosophy Sampath Kumar Padmanabhan. (2019). Condition monitoring of brushless synchronous generators using wireless sensors. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/89886 http://hdl.handle.net/10220/47732 10.32657/10220/47732 en This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). 182 p. application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Sampath Kumar Padmanabhan
Condition monitoring of brushless synchronous generators using wireless sensors
description The conventional condition monitoring systems for Brushless synchronous generators (BLSGs) are predominantly based on externally available signals, while the internal signals, especially on the rotor, remain relatively unexplored. Given that rotor-based faults have been identified as more critical for the BLSG, the measurements made internal to the machine could prove to be more sensitive compared to these external measurements. To access these internal signals, wireless sensors offer an effective solution in terms of cost and ease of deployment. In realizing such a Wireless-Condition Monitoring System (Wi-CMS), the two key challenges which need to be addressed are: (1) establishing reliable access to internal signals and (2) demonstrating the improvement in diagnostic performance with the internal signals. In this thesis, an experimental feasibility study to evaluate the wireless RF link performance is presented. An evaluation of fault indicators is conducted and using a data-based approach, the improvement in diagnostic performance achieved by Wi-CMS is presented.
author2 Xie Lihua
author_facet Xie Lihua
Sampath Kumar Padmanabhan
format Thesis-Doctor of Philosophy
author Sampath Kumar Padmanabhan
author_sort Sampath Kumar Padmanabhan
title Condition monitoring of brushless synchronous generators using wireless sensors
title_short Condition monitoring of brushless synchronous generators using wireless sensors
title_full Condition monitoring of brushless synchronous generators using wireless sensors
title_fullStr Condition monitoring of brushless synchronous generators using wireless sensors
title_full_unstemmed Condition monitoring of brushless synchronous generators using wireless sensors
title_sort condition monitoring of brushless synchronous generators using wireless sensors
publisher Nanyang Technological University
publishDate 2019
url https://hdl.handle.net/10356/89886
http://hdl.handle.net/10220/47732
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