Condition Monitoring of Ball Bearings Using Vibration Analysis
Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
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.
Physics Chemistry Maths, Vibration analysis, signal processing, condition monitoring, rolling bearings
Fysik, Kemi, Matematik
IdentifiersURN: 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
Engineering Physics and Electrical Engineering, master's level
Validerat; 20110511 (anonymous)2016-10-042016-10-04Bibliographically approved