AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives

Y Himeur, M Elnour, F Fadli, N Meskin, I Petri… - Artificial Intelligence …, 2023 - Springer
In theory, building automation and management systems (BAMSs) can provide all the
components and functionalities required for analyzing and operating buildings. However, in …

Recent industrial applications of infrared thermography: A review

RA Osornio-Rios, JA Antonino-Daviu… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Infrared thermography (IRT) is a noninvasive technique that is drawing an increasing
attention in industry. The spectacular advancement in the features of the infrared cameras …

[HTML][HTML] Rotating machinery fault diagnosis based on convolutional neural network and infrared thermal imaging

LI Yongbo, DU **aoqiang, WAN Fangyi… - Chinese Journal of …, 2020 - Elsevier
Rotating machinery is widely applied in industrial applications. Fault diagnosis of rotating
machinery is vital in manufacturing system, which can prevent catastrophic failure and …

[HTML][HTML] 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 …

Application of infrared thermography to failure detection in industrial induction motors: case stories

D Lopez-Perez, J Antonino-Daviu - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Infrared thermography has been extensively applied over decades to areas such as
maintenance of electrical installations. Its use in electrical machinery has been mainly …

Application of infrared thermography for predictive/preventive maintenance of thermal defect in electrical equipment

ASN Huda, S Taib - Applied Thermal Engineering, 2013 - Elsevier
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 …

Thermal image based fault diagnosis for rotating machinery

O Janssens, R Schulz, V Slavkovikj, K Stockman… - Infrared Physics & …, 2015 - Elsevier
Infrared imaging is crucial for condition monitoring as the thermographic patterns will differ
depending on the fault or machine condition. Currently, a limited number of machine faults …

[HTML][HTML] Enhancing electrical panel anomaly detection for predictive maintenance with machine learning and IoT

MF Pekşen, U Yurtsever, Y Uyaroğlu - Alexandria Engineering Journal, 2024 - Elsevier
This study aims to detect electrical panel fires using the Internet of Things (IoT) framework
and Machine Learning (ML) algorithms. Within the scope of the study, an experimental …

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 …

[HTML][HTML] Transfer learning by fine-tuning pre-trained convolutional neural network architectures for switchgear fault detection using thermal imaging

KAA Mahmoud, MM Badr, NA Elmalhy… - Alexandria Engineering …, 2024 - Elsevier
Switchgear is a vital component of modern power systems, responsible for regulating the
flow of electrical power. Contact issues, irregular loads, and other similar problems can …