Image Processing Techniques to Automate Quantitative Thermography Diagnostics for the Efficient Use of Electric Motors

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Image Processing Techniques to Automate Quantitative Thermography Diagnostics for the Efficient Use of Electric Motors

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dc.contributor.advisor Stiver, Warren H.
dc.contributor.advisor Dony, Robert D.
dc.contributor.author Bourgon, Malo Paul
dc.date 2012-01-11
dc.date.accessioned 2012-01-13T13:52:42Z
dc.date.available 2012-01-13T13:52:42Z
dc.date.issued 2012-01-13
dc.identifier.uri http://hdl.handle.net/10214/3268
dc.description.abstract A practical and non-invasive method of calculating the efficiency of electric motors could help reduce anthropogenic green house gas emissions by up to 6%. Such a method has been developed using quantitative thermography, however currently, the time required for its implementation is prohibitive. In this thesis, registration and segmentation techniques are applied to the thermograms of the above method, particularly thermograms used in the lumped capacitance method (LCM) and those used to find the average temperature of motors, reducing the time required to process thermograms. The processing of LCM thermograms was completely automated (±5% difference when compared to results obtained manually) while processing of motor thermograms required the location of the motor be provided manually the first time a motor is examined, but was completely automated for subsequent thermo- grams of the same motor (±0.9°C and ±0.6°C difference for non-occluded and occluded motors respectively compared to manual results). en_US
dc.description.sponsorship NSERC Chair in Environmental Design Engineering en_US
dc.language.iso en en_US
dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/2.5/ca/ *
dc.subject Thermography en_US
dc.subject Quantitative Thermography en_US
dc.subject Electric Motors en_US
dc.subject Motor Efficiency en_US
dc.subject Image Processing en_US
dc.subject Infrared en_US
dc.subject IR en_US
dc.title Image Processing Techniques to Automate Quantitative Thermography Diagnostics for the Efficient Use of Electric Motors en_US
dc.type Thesis en_US
dc.degree.programme Engineering en_US
dc.degree.name Master of Applied Science en_US
dc.degree.department School of Engineering en_US


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http://creativecommons.org/licenses/by-nc-sa/2.5/ca/ Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by-nc-sa/2.5/ca/

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