No Cover Image

E-Thesis 89 views 76 downloads

Audio plant condition monitoring. / Bruce Blakeley

Swansea University Author: Bruce Blakeley

Abstract

Accelerometers are widely used in plant condition monitoring (PCM) to diagnose faults in rotating machinery. This can be expensive, and is typically only used to monitor the condition of critical machines. The objective of this project is to develop a system, using microphones, that could screen les...

Full description

Published: 2001
Institution: Swansea University
Degree level: Doctoral
Degree name: EngD
URI: https://cronfa.swan.ac.uk/Record/cronfa42239
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2018-08-02T18:54:13Z
last_indexed 2018-08-03T10:09:37Z
id cronfa42239
recordtype RisThesis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2018-08-02T16:24:28.5421834</datestamp><bib-version>v2</bib-version><id>42239</id><entry>2018-08-02</entry><title>Audio plant condition monitoring.</title><swanseaauthors><author><sid>5a9dddb797b1934feb46cbbc033ab377</sid><ORCID>NULL</ORCID><firstname>Bruce</firstname><surname>Blakeley</surname><name>Bruce Blakeley</name><active>true</active><ethesisStudent>true</ethesisStudent></author></swanseaauthors><date>2018-08-02</date><abstract>Accelerometers are widely used in plant condition monitoring (PCM) to diagnose faults in rotating machinery. This can be expensive, and is typically only used to monitor the condition of critical machines. The objective of this project is to develop a system, using microphones, that could screen less critical machines for faults. Microphones are non-contact sensors that can be placed away from the machines, to avoid damage. If the data gathered by the microphone is reduced to a single parameter, that increases with wear, then analysis would be greatly simplified. This system could be used to provide basic PCM screening for equipment not considered important enough for routine vibration monitoring. To achieve this objective, a test-rig was designed and constructed, consisting of a motor, gearbox and load. Various faults were introduced into the test-rig, and a microphone used to record the sound. These results were then compared to accelerometer readings. Time synchronous averaging (TSA) was employed to increase the signal to noise ratio. It was proven that Kurtosis and crestfactor of a microphone signal both increase, if used with a high pass filter, when an impacting fault such as a broken gearbox tooth was introduced into the test-rig. It proved harder to reduce the sound of other non-impacting faults, such as misalignment, into a single parameter. The technique was tested in an industrial environment with a 100 dB background noise level. It was shown that the technique was capable of detecting faults even with a signal to noise ratio of -15 dB. A one dimensional FEA model was created, with six degrees of freedom, modelling the test-rig's vibrational behaviour. This was used to investigate the affect of a broken tooth, and to explain the increase in noise as the tooth passing frequency coincided with a resonance.</abstract><type>E-Thesis</type><journal/><journalNumber></journalNumber><paginationStart/><paginationEnd/><publisher/><placeOfPublication/><isbnPrint/><issnPrint/><issnElectronic/><keywords>Mechanical engineering.;Industrial engineering.</keywords><publishedDay>31</publishedDay><publishedMonth>12</publishedMonth><publishedYear>2001</publishedYear><publishedDate>2001-12-31</publishedDate><doi/><url/><notes/><college>COLLEGE NANME</college><department>Engineering</department><CollegeCode>COLLEGE CODE</CollegeCode><institution>Swansea University</institution><degreelevel>Doctoral</degreelevel><degreename>EngD</degreename><apcterm/><lastEdited>2018-08-02T16:24:28.5421834</lastEdited><Created>2018-08-02T16:24:28.5421834</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Engineering and Applied Sciences - Uncategorised</level></path><authors><author><firstname>Bruce</firstname><surname>Blakeley</surname><orcid>NULL</orcid><order>1</order></author></authors><documents><document><filename>0042239-02082018162438.pdf</filename><originalFilename>10797947.pdf</originalFilename><uploaded>2018-08-02T16:24:38.9470000</uploaded><type>Output</type><contentLength>22310856</contentLength><contentType>application/pdf</contentType><version>E-Thesis</version><cronfaStatus>true</cronfaStatus><embargoDate>2018-08-02T16:24:38.9470000</embargoDate><copyrightCorrect>false</copyrightCorrect></document></documents><OutputDurs/></rfc1807>
spelling 2018-08-02T16:24:28.5421834 v2 42239 2018-08-02 Audio plant condition monitoring. 5a9dddb797b1934feb46cbbc033ab377 NULL Bruce Blakeley Bruce Blakeley true true 2018-08-02 Accelerometers are widely used in plant condition monitoring (PCM) to diagnose faults in rotating machinery. This can be expensive, and is typically only used to monitor the condition of critical machines. The objective of this project is to develop a system, using microphones, that could screen less critical machines for faults. Microphones are non-contact sensors that can be placed away from the machines, to avoid damage. If the data gathered by the microphone is reduced to a single parameter, that increases with wear, then analysis would be greatly simplified. This system could be used to provide basic PCM screening for equipment not considered important enough for routine vibration monitoring. To achieve this objective, a test-rig was designed and constructed, consisting of a motor, gearbox and load. Various faults were introduced into the test-rig, and a microphone used to record the sound. These results were then compared to accelerometer readings. Time synchronous averaging (TSA) was employed to increase the signal to noise ratio. It was proven that Kurtosis and crestfactor of a microphone signal both increase, if used with a high pass filter, when an impacting fault such as a broken gearbox tooth was introduced into the test-rig. It proved harder to reduce the sound of other non-impacting faults, such as misalignment, into a single parameter. The technique was tested in an industrial environment with a 100 dB background noise level. It was shown that the technique was capable of detecting faults even with a signal to noise ratio of -15 dB. A one dimensional FEA model was created, with six degrees of freedom, modelling the test-rig's vibrational behaviour. This was used to investigate the affect of a broken tooth, and to explain the increase in noise as the tooth passing frequency coincided with a resonance. E-Thesis Mechanical engineering.;Industrial engineering. 31 12 2001 2001-12-31 COLLEGE NANME Engineering COLLEGE CODE Swansea University Doctoral EngD 2018-08-02T16:24:28.5421834 2018-08-02T16:24:28.5421834 Faculty of Science and Engineering School of Engineering and Applied Sciences - Uncategorised Bruce Blakeley NULL 1 0042239-02082018162438.pdf 10797947.pdf 2018-08-02T16:24:38.9470000 Output 22310856 application/pdf E-Thesis true 2018-08-02T16:24:38.9470000 false
title Audio plant condition monitoring.
spellingShingle Audio plant condition monitoring.
Bruce Blakeley
title_short Audio plant condition monitoring.
title_full Audio plant condition monitoring.
title_fullStr Audio plant condition monitoring.
title_full_unstemmed Audio plant condition monitoring.
title_sort Audio plant condition monitoring.
author_id_str_mv 5a9dddb797b1934feb46cbbc033ab377
author_id_fullname_str_mv 5a9dddb797b1934feb46cbbc033ab377_***_Bruce Blakeley
author Bruce Blakeley
author2 Bruce Blakeley
format E-Thesis
publishDate 2001
institution Swansea University
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Engineering and Applied Sciences - Uncategorised{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Uncategorised
document_store_str 1
active_str 0
description Accelerometers are widely used in plant condition monitoring (PCM) to diagnose faults in rotating machinery. This can be expensive, and is typically only used to monitor the condition of critical machines. The objective of this project is to develop a system, using microphones, that could screen less critical machines for faults. Microphones are non-contact sensors that can be placed away from the machines, to avoid damage. If the data gathered by the microphone is reduced to a single parameter, that increases with wear, then analysis would be greatly simplified. This system could be used to provide basic PCM screening for equipment not considered important enough for routine vibration monitoring. To achieve this objective, a test-rig was designed and constructed, consisting of a motor, gearbox and load. Various faults were introduced into the test-rig, and a microphone used to record the sound. These results were then compared to accelerometer readings. Time synchronous averaging (TSA) was employed to increase the signal to noise ratio. It was proven that Kurtosis and crestfactor of a microphone signal both increase, if used with a high pass filter, when an impacting fault such as a broken gearbox tooth was introduced into the test-rig. It proved harder to reduce the sound of other non-impacting faults, such as misalignment, into a single parameter. The technique was tested in an industrial environment with a 100 dB background noise level. It was shown that the technique was capable of detecting faults even with a signal to noise ratio of -15 dB. A one dimensional FEA model was created, with six degrees of freedom, modelling the test-rig's vibrational behaviour. This was used to investigate the affect of a broken tooth, and to explain the increase in noise as the tooth passing frequency coincided with a resonance.
published_date 2001-12-31T03:52:34Z
_version_ 1763752599771676672
score 11.021826

Similar Items