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Sensors 2016, 16(9), 1425; doi:10.3390/s16091425

Sparse Reconstruction for Temperature Distribution Using DTS Fiber Optic Sensors with Applications in Electrical Generator Stator Monitoring

1
Graduate Program in Electrical and Computer Engineering (CPGEI)/Federal University of Technology-Parana, Curitiba 80230-901, Brazil
2
Engie Brasil Energia, Saudades do Iguaçu 85568-000, Brazil
*
Author to whom correspondence should be addressed.
Academic Editor: Vittorio M. N. Passaro
Received: 4 July 2016 / Revised: 30 August 2016 / Accepted: 30 August 2016 / Published: 7 September 2016
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [6821 KB, uploaded 7 September 2016]   |  

Abstract

This paper presents an image reconstruction method to monitor the temperature distribution of electric generator stators. The main objective is to identify insulation failures that may arise as hotspots in the structure. The method is based on temperature readings of fiber optic distributed sensors (DTS) and a sparse reconstruction algorithm. Thermal images of the structure are formed by appropriately combining atoms of a dictionary of hotspots, which was constructed by finite element simulation with a multi-physical model. Due to difficulties for reproducing insulation faults in real stator structure, experimental tests were performed using a prototype similar to the real structure. The results demonstrate the ability of the proposed method to reconstruct images of hotspots with dimensions down to 15 cm, representing a resolution gain of up to six times when compared to the DTS spatial resolution. In addition, satisfactory results were also obtained to detect hotspots with only 5 cm. The application of the proposed algorithm for thermal imaging of generator stators can contribute to the identification of insulation faults in early stages, thereby avoiding catastrophic damage to the structure. View Full-Text
Keywords: generator stator temperature; distributed temperature sensing; sparse reconstruction algorithm generator stator temperature; distributed temperature sensing; sparse reconstruction algorithm
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Bazzo, J.P.; Pipa, D.R.; da Silva, E.V.; Martelli, C.; Cardozo da Silva, J.C. Sparse Reconstruction for Temperature Distribution Using DTS Fiber Optic Sensors with Applications in Electrical Generator Stator Monitoring. Sensors 2016, 16, 1425.

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