Wireless networked sensing for prognosis in power electronics and electrical machines

Electrical machines are vital for human life and productions nowadays, a reliable electrical machine requires proper maintenance, which involves not only the regularly checking but also a prediction of possible faults. An accurate deterioration prognosis could decrease the maintenance cost result fr...

Full description

Saved in:
Bibliographic Details
Main Author: Song, Liyang
Other Authors: Xie Lihua
Format: Final Year Project
Language:English
Published: 2016
Subjects:
Online Access:http://hdl.handle.net/10356/67617
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-67617
record_format dspace
spelling sg-ntu-dr.10356-676172023-07-07T16:15:25Z Wireless networked sensing for prognosis in power electronics and electrical machines Song, Liyang Xie Lihua School of Electrical and Electronic Engineering Rolls-Royce Singapore Pte. Ltd. DRNTU::Engineering Electrical machines are vital for human life and productions nowadays, a reliable electrical machine requires proper maintenance, which involves not only the regularly checking but also a prediction of possible faults. An accurate deterioration prognosis could decrease the maintenance cost result from loss of production or machine breakdown. In order to proceed an accurate prognosis, an effective monitoring on all relevant values of the machine is necessary. However, due to the rotation property, a regular fixed sensor system for collecting data is not possible, thus a rotating wireless networked sensing system is introduced. The purpose of this project is to rotating telemetry sensor system for monitoring conditions of electrical machines, therefore by applying proper methodology and theory a reliable prognosis the electrical machine can be provided. This final year project is focused on the preliminary stage of failure prognostic system and aims to build a rotational wireless sensor system and provide a real-time wireless monitoring on the electrical machine. Bachelor of Engineering 2016-05-18T07:48:28Z 2016-05-18T07:48:28Z 2016 Final Year Project (FYP) http://hdl.handle.net/10356/67617 en Nanyang Technological University 52 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering
spellingShingle DRNTU::Engineering
Song, Liyang
Wireless networked sensing for prognosis in power electronics and electrical machines
description Electrical machines are vital for human life and productions nowadays, a reliable electrical machine requires proper maintenance, which involves not only the regularly checking but also a prediction of possible faults. An accurate deterioration prognosis could decrease the maintenance cost result from loss of production or machine breakdown. In order to proceed an accurate prognosis, an effective monitoring on all relevant values of the machine is necessary. However, due to the rotation property, a regular fixed sensor system for collecting data is not possible, thus a rotating wireless networked sensing system is introduced. The purpose of this project is to rotating telemetry sensor system for monitoring conditions of electrical machines, therefore by applying proper methodology and theory a reliable prognosis the electrical machine can be provided. This final year project is focused on the preliminary stage of failure prognostic system and aims to build a rotational wireless sensor system and provide a real-time wireless monitoring on the electrical machine.
author2 Xie Lihua
author_facet Xie Lihua
Song, Liyang
format Final Year Project
author Song, Liyang
author_sort Song, Liyang
title Wireless networked sensing for prognosis in power electronics and electrical machines
title_short Wireless networked sensing for prognosis in power electronics and electrical machines
title_full Wireless networked sensing for prognosis in power electronics and electrical machines
title_fullStr Wireless networked sensing for prognosis in power electronics and electrical machines
title_full_unstemmed Wireless networked sensing for prognosis in power electronics and electrical machines
title_sort wireless networked sensing for prognosis in power electronics and electrical machines
publishDate 2016
url http://hdl.handle.net/10356/67617
_version_ 1772826734776811520