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Condition monitoring on bearing faults of electric motor – Based on sound signal

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Bibliographic Details
Main Author: Rohayu, Mohammad Abdul Wahab
Other Authors: Mohd Noor Arib Md Rejab
Format: Learning Object
Language:English
Published: Universiti Malaysia Perlis 2012
Subjects:
Sound signal
Electric motor
Bearing faults
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/22181
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spelling my.unimap-221812012-12-09T06:46:26Z Condition monitoring on bearing faults of electric motor – Based on sound signal Rohayu, Mohammad Abdul Wahab Mohd Noor Arib Md Rejab Sound signal Electric motor Bearing faults Access is limited to UniMAP community. The condition monitoring of rotating shaft is important in terms of system maintenance and process automation, especially for the bearing which is most common component in machine or apparatuses. In this project, a general model of faulty bearing based on sound signal will be developed. The microphone is used to detect the frequency signals of sound from new bearing, used bearing and bearing with artificial damage. The graph of frequency response for different bearing conditions is plotted using Matlab Programming. This graph will be used to diagnose fault in bearings on the other electrical motor. The maximum noise value for each type of bearing condition was taking as a range to determine the condition of bearing if tested at motor that have same model and speed. Experiment result shows, value of noise produce for new bearing are between 47.07 dB until 65.57 dB. While, value of noise produce for used bearing are between 49.50 dB until 66.58 dB and value of noise produce by damage bearing are between 55.33 dB until 70.07 dB. 2012-12-09T06:46:25Z 2012-12-09T06:46:25Z 2009-04 Learning Object http://hdl.handle.net/123456789/22181 en Universiti Malaysia Perlis School of Mechatronic Engineering
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Sound signal
Electric motor
Bearing faults
spellingShingle Sound signal
Electric motor
Bearing faults
Rohayu, Mohammad Abdul Wahab
Condition monitoring on bearing faults of electric motor – Based on sound signal
description Access is limited to UniMAP community.
author2 Mohd Noor Arib Md Rejab
author_facet Mohd Noor Arib Md Rejab
Rohayu, Mohammad Abdul Wahab
format Learning Object
author Rohayu, Mohammad Abdul Wahab
author_sort Rohayu, Mohammad Abdul Wahab
title Condition monitoring on bearing faults of electric motor – Based on sound signal
title_short Condition monitoring on bearing faults of electric motor – Based on sound signal
title_full Condition monitoring on bearing faults of electric motor – Based on sound signal
title_fullStr Condition monitoring on bearing faults of electric motor – Based on sound signal
title_full_unstemmed Condition monitoring on bearing faults of electric motor – Based on sound signal
title_sort condition monitoring on bearing faults of electric motor – based on sound signal
publisher Universiti Malaysia Perlis
publishDate 2012
url http://dspace.unimap.edu.my/xmlui/handle/123456789/22181
_version_ 1643791159503355904
score 13.222552

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