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Zedboard based platform for condition monitoring and control experiments
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering.
2018 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

New methods for monitoring the condition of roller element bearings in rotating machinery offer possibilities to reduce repair- and maintenance costs, and reduced use of environmentally harmful lubricants. One such method is sparse representation of vibration signals using matching pursuit with dictionary learning, which so far has been tested on PCs with data from controlled tests. Further testing requires a platform capable of signal processing and control in more realistic experiments. This thesis focuses on the integration of a hybrid CPU-FPGA hardware system with a 16-bit analog-to-digital converter and an oil pump, granting the possibility of collecting real-time data, executing the algorithm in closed loop and supplying lubrication to the machine under test, if need be. The aforementioned algorithm is implemented in a Zynq-7000 System-on-Chip and the analog-to-digital converter as well as the pump motor controller are integrated. This platform enables portable operation of the matching pursuit with dictionary learning in the field under a larger variety of environmental and operational conditions, conditions which might prove difficult to reproduce in a laboratory setup. The platform developed throughout this project can collect data using the analog-to-digital converter and operations can be performed on that data in both the CPU and the FPGA. A test of the system function at a sampling rate of 5 kHz is presented and the input and output are verified to function correctly.

Place, publisher, year, edition, pages
2018. , p. 23
Keywords [en]
Condition Monitoring, Matching Pursuit, Dictionary Learning, Zedboard
National Category
Embedded Systems
Identifiers
URN: urn:nbn:se:ltu:diva-70105OAI: oai:DiVA.org:ltu-70105DiVA, id: diva2:1232176
Subject / course
Student thesis, at least 15 credits
Educational program
Computer Science and Engineering, bachelor's level
Presentation
2018-02-22, A2527, Luleå Tekniska Universitet, Luleå, 16:00 (English)
Supervisors
Examiners
Available from: 2018-08-14 Created: 2018-07-10 Last updated: 2018-08-14Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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Language
  • de-DE
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  • en-US
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  • nn-NB
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  • Other locale
More languages
Output format
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