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Evaluation of thermal imaging system and thermal radiation detector for real-time condition monitoring of high power frequency converters AITranslate

Sør-Trøndelag University College; Sør-Trøndelag University College; Sør-Trøndelag University College
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Publisher: Springer Nature
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Abstract AITranslate

We have carried out at laboratory test to study the feasibility of using thermal radiation detectors for online thermal monitoring of electrical systems in wind turbines. A 25 kW frequency converter is instrumented with a thermal camera, operating in the 8–14 μm wavelength range, and a single-pixel thermopile sensor, operating in the 4–8 μm wavelength range, to monitor the temperature development of the power electronics under various load sequences. Both systems performed satisfactorily with insignificant temperature deviations when compared to data from calibrated point contact sensor. With spatial averaging over a 7 mm × 7 mm for the camera and temporal averaging over 60 s for the thermopile sensor, we reduce the root mean square noise to 45 mK and 68 mK respectively. The low cost and simple operation of the thermopile sensor make it very attractive for condition monitoring applications, whereas the attractive feature of the camera is the possibility of multi-point or distributed temperature measurements.

KeyWords AITranslate

Temperature measurement Condition monitoring Frequency converter Wind turbine
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Basic Information:

DOI:https://doi.org/10.1007/s40436-014-0066-1

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Citation Information:

We have carried out at laboratory test to study the feasibility of using thermal radiation detectors for online thermal monitoring of electrical systems in wind turbines. A 25 kW frequency converter is instrumented with a thermal camera, operating in the 8–14 μm wavelength range, and a single-pixel thermopile sensor, operating in the 4–8 μm wavelength range, to monitor the temperature development of the power electronics under various load sequences. Both systems performed satisfactorily with insignificant temperature deviations when compared to data from calibrated point contact sensor. With spatial averaging over a 7 mm × 7 mm for the camera and temporal averaging over 60 s for the thermopile sensor, we reduce the root mean square noise to 45 mK and 68 mK respectively. The low cost and simple operation of the thermopile sensor make it very attractive for condition monitoring applications, whereas the attractive feature of the camera is the possibility of multi-point or distributed temperature measurements.

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GB/T 7714-2015 [1] Anders Eriksen, Dominik Osinski, Dag Roar Hjelme. Advances in Manufacturing, 2014(2). DOI:10.1007/s40436-014-0066-1.
MLA [1] Anders Eriksen, et al., Advances in Manufacturing, no. 2, 2014, https://doi.org/10.1007/s40436-014-0066-1.
APA [1] Anders Eriksen, Dominik Osinski, & Dag Roar Hjelme. (2014). Advances in Manufacturing(2). https://doi.org/10.1007/s40436-014-0066-1
IEEE [1] Anders Eriksen, Dominik Osinski, and Dag Roar Hjelme, Advances in Manufacturing, no. 2, 2014, doi: 10.1007/s40436-014-0066-1. keywords: {Temperature measurement;Condition monitoring;Frequency converter;Wind turbine}