A Review of Predictive Analytics Models in the Oil and Gas Industries
PA R Azmi, M Yusoff, MT Mohd Sallehud-din - Sensors, 2024 - mdpi.com
Enhancing the management and monitoring of oil and gas processes demands the
development of precise predictive analytic techniques. Over the past two years, oil and its …
development of precise predictive analytic techniques. Over the past two years, oil and its …
Extensive review on influence of additive addition in insulating oil for transformers
RA Raj, D Sarathkumar, LJB Andrews… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
Due to its significance as a functional component in power transformers (PT) and distribution
transformers (DT), the dielectric liquid has been the subject of the current study. To create a …
transformers (DT), the dielectric liquid has been the subject of the current study. To create a …
Agreements and Disagreements in the Selection of Natural Esters for Power Transformers
SK Venkatachary, RA Raj… - 2023 International …, 2023 - ieeexplore.ieee.org
The “critical dielectric fluid,” or CDF, made of natural esters encourages the need for power
transformers to meet CIGRE and IEEE requirements. The areas of dielectric qualities …
transformers to meet CIGRE and IEEE requirements. The areas of dielectric qualities …
Cluster Analysis in Insulating Fluids Using -Means and Hierarchical Clustering Methods
RA Raj, SK Venkatachary… - 2023 International …, 2023 - ieeexplore.ieee.org
The research looks at the relationships that each species group has with the other
groupings. Pongamia Oil, Modified-Pongamia Oil, and Mineral Oil are the three types of oil …
groupings. Pongamia Oil, Modified-Pongamia Oil, and Mineral Oil are the three types of oil …
[HTML][HTML] Hyperspectral identification of oil adulteration using machine learning techniques
Food adulteration is a global concern, drawing attention from safety authorities due to its
potential health risks. Detecting and categorizing oil adulteration is crucial for consumer …
potential health risks. Detecting and categorizing oil adulteration is crucial for consumer …
[HTML][HTML] Improving transformer failure classification on imbalanced DGA data using data-level techniques and machine learning
PAR Azmi, M Yusoff, MTM Sallehud-din - Energy Reports, 2025 - Elsevier
This study addresses the challenge of imbalanced dissolved gas analysis (DGA) data in
transformer failure classification by assessing the impact of data-level balancing techniques …
transformer failure classification by assessing the impact of data-level balancing techniques …
The Identification of Conflicting Determinations of Anomalies in Computer Network Behaviour: Cyber Security in Smart Cities
LJB Andrews, DM Chakkaravarthy… - … on Recent Advances …, 2023 - ieeexplore.ieee.org
New problems and difficulties have arisen as a result of smart cities' greater reliance on
various forms of urban technology. Data-driven technologies and computer networks are …
various forms of urban technology. Data-driven technologies and computer networks are …
Development of Cybersecurity Systems Based on Machine Learning and Deep Learning Algorithms for Industrial Control Systems
LJB Andrews, J Selvam… - … on Energy, Materials …, 2023 - ieeexplore.ieee.org
Industrial control systems, often known as ICSs, are frequently utilized in serious
infrastructure because of their widespread use in the support of key societal processes. This …
infrastructure because of their widespread use in the support of key societal processes. This …
A Short Review on the Key Indicators of Ageing Studies Conducted on Insulating Oil
RA Raj, D Sarathkumar, AS Sidthik… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
Having known by the facts on the ageing studies on insulating oil, it is ever important to
know the key indicators encompassed within this. One of the crucial things in ageing study is …
know the key indicators encompassed within this. One of the crucial things in ageing study is …
Replacing the Suction Fan to Reduce Power Consumption in Spinning Mill
S Murugesan, P Manju, D Sarathkumar… - 2024 IEEE 3rd …, 2024 - ieeexplore.ieee.org
The Textile Industry is one of the largest energy consumers globally, with spinning mills
being one of the main contributors to this energy consumption. One of the significant areas …
being one of the main contributors to this energy consumption. One of the significant areas …