0000000000726726

AUTHOR

Hadi Ashraf Raja

0000-0003-4318-1983

showing 1 related works from this author

Signal Spectrum-Based Machine Learning Approach for Fault Prediction and Maintenance of Electrical Machines

2022

Industrial revolution 4.0 has enabled the advent of new technological advancements, including the introduction of information technology with physical devices. The implementation of information technology in industrial applications has helped streamline industrial processes and make them more cost-efficient. This combination of information technology and physical devices gave birth to smart devices, which opened up a new research area known as the Internet of Things (IoT). This has enabled researchers to help reduce downtime and maintenance costs by applying condition monitoring on electrical machines utilizing machine learning algorithms. Although the industry is trying to move from schedu…

VDP::Teknologi: 500Control and OptimizationRenewable Energy Sustainability and the EnvironmentEnergy Engineering and Power TechnologyBuilding and ConstructionElectrical and Electronic Engineeringartificial intelligence; fault prediction; predictive maintenance; machine learning; neural networkEngineering (miscellaneous)Energy (miscellaneous)
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