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A Review of Infrared Thermography for Condition-Based Monitoring in Electrical Energy: Applications and Recommendations

Author

Listed:
  • Ganesh Kumar Balakrishnan

    (Wisma TNB, No. 19, Jalan Timur, Petaling Jaya 46200, Selangor, Malaysia)

  • Chong Tak Yaw

    (Institute of Sustainable Energy, Universiti Tenaga Nasional (The National Energy University), Jalan Ikram-Uniten, Kajang 43000, Selangor, Malaysia)

  • Siaw Paw Koh

    (Institute of Sustainable Energy, Universiti Tenaga Nasional (The National Energy University), Jalan Ikram-Uniten, Kajang 43000, Selangor, Malaysia)

  • Tarek Abedin

    (Institute of Sustainable Energy, Universiti Tenaga Nasional (The National Energy University), Jalan Ikram-Uniten, Kajang 43000, Selangor, Malaysia)

  • Avinash Ashwin Raj

    (TNBR Sdn. Bhd., No.1, Lorong Air Hitam, Kawasan Institusi Penyelidikan Bandar Baru Bangi, Kajang 43000, Selangor, Malaysia)

  • Sieh Kiong Tiong

    (Institute of Sustainable Energy, Universiti Tenaga Nasional (The National Energy University), Jalan Ikram-Uniten, Kajang 43000, Selangor, Malaysia)

  • Chai Phing Chen

    (Department of Electrical and Electronics Engineering, Universiti Tenaga Nasional (The National Energy University), Jalan Ikram-Uniten, Kajang 43000, Selangor, Malaysia)

Abstract

Condition-based monitoring (CBM) has emerged as a critical instrument for lowering the cost of unplanned operations while also improving the efficacy, execution, and dependability of tools. Thermal abnormalities can be thoroughly examined using thermography for condition monitoring. Thanks to the advent of high-resolution infrared cameras, researchers are paying more attention to thermography as a non-contact approach for monitoring the temperature rise of objects and as a technique in great experiments to analyze processes thermally. It also allows for the early identification of weaknesses and failures in equipment while it is in use, decreasing system downtime, catastrophic failure, and maintenance expenses. In many applications, the usage of IRT as a condition monitoring approach has steadily increased during the previous three decades. Infrared cameras are steadily finding use in research and development, in addition to their routine use in condition monitoring and preventative maintenance. This study focuses on infrared crucial thermographic theoretical stages, experimental methodologies, relative and absolute temperature requirements, and infrared essential thermographic theoretical processes for electrical and electronics energy applications. Furthermore, this article addresses the major concerns and obstacles and makes some specific recommendations for future development. With developments in artificial intelligence, particularly computer fiction, depending on the present deep learning algorithm, IRT can boost CBM analysis.

Suggested Citation

  • Ganesh Kumar Balakrishnan & Chong Tak Yaw & Siaw Paw Koh & Tarek Abedin & Avinash Ashwin Raj & Sieh Kiong Tiong & Chai Phing Chen, 2022. "A Review of Infrared Thermography for Condition-Based Monitoring in Electrical Energy: Applications and Recommendations," Energies, MDPI, vol. 15(16), pages 1-37, August.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:16:p:6000-:d:892054
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    References listed on IDEAS

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    2. Sameer Madhavan & Raunak Devdatta P B & Edison Gundabattini & Arkadiusz Mystkowski, 2022. "Thermal Analysis and Heat Management Strategies for an Induction Motor, a Review," Energies, MDPI, vol. 15(21), pages 1-20, October.
    3. Attallah, Omneya & Ibrahim, Rania A. & Zakzouk, Nahla E., 2023. "CAD system for inter-turn fault diagnosis of offshore wind turbines via multi-CNNs & feature selection," Renewable Energy, Elsevier, vol. 203(C), pages 870-880.
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    5. Rahul R. Kumar & Mauro Andriollo & Giansalvo Cirrincione & Maurizio Cirrincione & Andrea Tortella, 2022. "A Comprehensive Review of Conventional and Intelligence-Based Approaches for the Fault Diagnosis and Condition Monitoring of Induction Motors," Energies, MDPI, vol. 15(23), pages 1-36, November.

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