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A thermometer measures body temperature. The common sites for measuring body temperature are the oral cavity, axillary region, temporal artery, and skin surface, such as the forehead, abdomen, and axilla. True core body temperature is assessed in the rectum, tympanic membrane, pulmonary artery, esophagus, and urinary bladder.
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Related Experiment Video

Updated: Mar 15, 2026

Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping
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Sparse Reconstruction for Temperature Distribution Using DTS Fiber Optic Sensors with Applications in Electrical

João Paulo Bazzo1, Daniel Rodrigues Pipa2, Erlon Vagner da Silva3

  • 1Graduate Program in Electrical and Computer Engineering (CPGEI)/Federal University of Technology-Parana, Curitiba 80230-901, Brazil. jpbazzo@utfpr.edu.br.

Sensors (Basel, Switzerland)
|September 13, 2016
PubMed
Summary
This summary is machine-generated.

This study introduces a novel image reconstruction technique for monitoring electric generator stator temperatures. The method enhances hotspot detection, enabling early identification of insulation failures and preventing equipment damage.

Keywords:
distributed temperature sensinggenerator stator temperaturesparse reconstruction algorithm

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Area of Science:

  • Electrical Engineering
  • Materials Science
  • Non-Destructive Testing

Background:

  • Electric generator stators are critical components prone to insulation failures, leading to hotspots.
  • Early detection of these hotspots is essential to prevent catastrophic damage and ensure operational reliability.
  • Current monitoring methods may lack the necessary spatial resolution to identify small-scale insulation defects.

Purpose of the Study:

  • To develop and validate an image reconstruction method for precise temperature distribution monitoring in generator stators.
  • To identify insulation failures by detecting hotspots with improved resolution.
  • To enhance the early fault detection capabilities for electric generator stators.

Main Methods:

  • Utilizing temperature readings from fiber optic distributed sensors (DTS).
  • Employing a sparse reconstruction algorithm combined with a dictionary of pre-simulated hotspots.
  • Constructing the hotspot dictionary using finite element simulation with a multi-physical model.
  • Validating the method through experimental tests on a prototype stator.

Main Results:

  • Successfully reconstructed thermal images of hotspots with dimensions as small as 15 cm.
  • Achieved a spatial resolution gain of up to six times compared to standard DTS resolution.
  • Demonstrated the capability to detect hotspots as small as 5 cm with satisfactory accuracy.
  • The method effectively identified simulated insulation faults in the prototype stator.

Conclusions:

  • The proposed image reconstruction method significantly improves the spatial resolution for thermal imaging of generator stators.
  • This technique enables early detection of insulation faults, mitigating the risk of severe equipment damage.
  • The findings support the application of this algorithm for enhanced condition monitoring and predictive maintenance of electric generators.