Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Condition Monitoring of Ball Bearings Using Vibration Analysis
2011 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

In today’s industry, whether it is run-to-failure, preventive, or predictive, mainte-nance is one of the major expenses in the production process. Ball bearings areone of the most vital elements in machinery and maintenance cost for replacementof those elements with interrupting the production is one of the most expensive.Establishing predictive maintenance for those rolling bearings by detecting the pos-sible defects and monitoring the current condition will enable the industry to use themaximum life span of those mechanical devices and reduce the cost of maintenanceconsiderably.Within the ongoing project of condition monitoring by using vibration analysis atRubico AB, this thesis work aims to understand and implement a new algorithmstep-by-step, first as off-line processing, and then on a fixed-point digital signalprocessor to analyze the measured data from industry. Different approaches formaximizing the performance of the algorithm are tested, compared; and the resultsfrom both off-line floating point precision and fixed-point implementation are eval-uated.By running the method on different data sets from industry, it has been shownthat the patented algorithm manages to detect the defects on the inner or outerrace of the ball bearings without a priori knowledge about the measurement objectand environment. The concept for implementation on a fixed-point digital signalprocessor is also proven.

Place, publisher, year, edition, pages
2011. , 53 p.
Keyword [en]
Physics Chemistry Maths, Vibration analysis, signal processing, condition monitoring, rolling bearings
Keyword [sv]
Fysik, Kemi, Matematik
Identifiers
URN: urn:nbn:se:ltu:diva-45128Local ID: 2dcc6ffa-2356-4641-92bf-37f8d0f8800cOAI: oai:DiVA.org:ltu-45128DiVA: diva2:1018409
Subject / course
Student thesis, at least 30 credits
Educational program
Engineering Physics and Electrical Engineering, master's level
Supervisors
Examiners
Note
Validerat; 20110511 (anonymous)Available from: 2016-10-04 Created: 2016-10-04Bibliographically approved

Open Access in DiVA

fulltext(972 kB)157 downloads
File information
File name FULLTEXT02.pdfFile size 972 kBChecksum SHA-512
4d6fe2c84e2215cb61ec94761127405d81e6c7d096bbc03f044ee79d13bcf9c02aa624e908ab8bb77407f06827683b08674e86ad75294f7c93868fd90c3bd1e1
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Ovacikli, Aziz Kubilay

Search outside of DiVA

GoogleGoogle Scholar
Total: 157 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 71 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf