Recent progress in diagnosing the reliability of electrical equipment by using infrared thermography
Infrared thermography (IRT) has gained more attention and become an interesting method
in electrical preventive maintenance due to its high precision and sensitivity imaging …
in electrical preventive maintenance due to its high precision and sensitivity imaging …
A review of infrared thermography for condition-based monitoring in electrical energy: Applications and recommendations
GK Balakrishnan, CT Yaw, SP Koh, T Abedin, AA Raj… - Energies, 2022 - mdpi.com
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 …
cost of unplanned operations while also improving the efficacy, execution, and dependability …
Application of infrared thermography for predictive/preventive maintenance of thermal defect in electrical equipment
Internal heat of electrical equipment rises due to various reasons such as contact problems,
unbalance loading, cracks in insulation, defective relays or terminal blocks, etc until eventual …
unbalance loading, cracks in insulation, defective relays or terminal blocks, etc until eventual …
Integration of novel sensors and machine learning for predictive maintenance in medium voltage switchgear to enable the energy and mobility revolutions
MW Hoffmann, S Wildermuth, R Gitzel, A Boyaci… - Sensors, 2020 - mdpi.com
The development of renewable energies and smart mobility has profoundly impacted the
future of the distribution grid. An increasing bidirectional energy flow stresses the assets of …
future of the distribution grid. An increasing bidirectional energy flow stresses the assets of …
Predictive maintenance of power substation equipment by infrared thermography using a machine-learning approach
A variety of reasons, specifically contact issues, irregular loads, cracks in insulation,
defective relays, terminal junctions and other similar issues, increase the internal …
defective relays, terminal junctions and other similar issues, increase the internal …
Detection of safety helmet wearing based on improved faster R-CNN
S Chen, W Tang, T Ji, H Zhu… - … joint conference on …, 2020 - ieeexplore.ieee.org
In order to ensure the safety of workers and the stable operation of the power grid, the power
grid companies in China have developed a very strict safety control system which contains …
grid companies in China have developed a very strict safety control system which contains …
A deep learning approach for oriented electrical equipment detection in thermal images
Due to the high precision and non-contact characteristics, infrared thermography has been
widely used in equipment inspection to ensure the safety of electric power systems. A …
widely used in equipment inspection to ensure the safety of electric power systems. A …
A novel intelligent fault diagnosis method for electrical equipment using infrared thermography
H Zou, F Huang - Infrared Physics & Technology, 2015 - Elsevier
Infrared thermography (IRT) has taken a very important role in monitoring and inspecting
thermal defects of electrical equipment without shutting down, which has important …
thermal defects of electrical equipment without shutting down, which has important …
Suitable features selection for monitoring thermal condition of electrical equipment using infrared thermography
Monitoring the thermal condition of electrical equipment is necessary for maintaining the
reliability of electrical system. The degradation of electrical equipment can cause excessive …
reliability of electrical system. The degradation of electrical equipment can cause excessive …
An efficient fault detection method for induction motors using thermal imaging and machine vision
Induction motors (IMs) are the backbone of industry, and play a vital role in daily life as well.
However, induction motors face various faults during their operation, which may cause …
However, induction motors face various faults during their operation, which may cause …