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Full-Text Articles in Engineering
Data-Driven Protection Of Transformers, Phase Angle Regulators, And Transmission Lines In Interconnected Power Systems, Pallav Kumar Bera
Data-Driven Protection Of Transformers, Phase Angle Regulators, And Transmission Lines In Interconnected Power Systems, Pallav Kumar Bera
Dissertations - ALL
This dissertation highlights the growing interest in and adoption of machine learning approaches for fault detection in modern electric power grids. Once a fault has occurred, it must be identified quickly and a variety of preventative steps must be taken to remove or insulate it. As a result, detecting, locating, and classifying faults early and accurately can improve safety and dependability while reducing downtime and hardware damage. Machine learning-based solutions and tools to carry out effective data processing and analysis to aid power system operations and decision-making are becoming preeminent with better system condition awareness and data availability.
Power transformers, …
Mitigating Insider Threat Risks In Cyber-Physical Manufacturing Systems, Jinwoo Song
Mitigating Insider Threat Risks In Cyber-Physical Manufacturing Systems, Jinwoo Song
Dissertations - ALL
Cyber-Physical Manufacturing System (CPMS)—a next generation manufacturing system—seamlessly integrates digital and physical domains via the internet or computer networks. It will enable drastic improvements in production flexibility, capacity, and cost-efficiency. However, enlarged connectivity and accessibility from the integration can yield unintended security concerns. The major concern arises from cyber-physical attacks, which can cause damages to the physical domain while attacks originate in the digital domain. Especially, such attacks can be performed by insiders easily but in a more critical manner: Insider Threats.
Insiders can be defined as anyone who is or has been affiliated with a system. Insiders have knowledge …