This book presents a comprehensive and practice-oriented framework for situational awareness in power equipment, bridging rigorous theory with real-world engineering implementation. It systematically addresses the three fundamental levels of situational awareness—perception, comprehension, and projection—tailored to the unique operational, physical, and environmental complexities of critical power assets such as transformers, switchgear, transmission systems, rotating machines, and emerging power-electronic equipment.

While situational awareness has been extensively studied in fields such as aviation and defense, its application at the equipment level within power systems has remained fragmented. This book fills that gap by offering the first cohesive treatment focused explicitly on power equipment, moving beyond grid-level monitoring to examine how individual assets can perceive their own condition, interpret operational contexts, and anticipate future states.

The book integrates sensing technologies, signal processing, system modeling, health assessment, and forecasting methods within a unified framework. Advanced topics—including array-based source localization, digital twins, artificial intelligence, and cybersecurity—are developed with both mathematical rigor and engineering practicality. Throughout, real-world examples and implementation guidance ensure direct relevance to industrial applications.

By linking foundational principles with actionable strategies, the book demonstrates how enhanced situational awareness enables more reliable, resilient, and secure power infrastructure. It is written for engineers, system operators, product developers, researchers, and postgraduate students seeking both a deep conceptual foundation and practical tools to advance the next generation of intelligent power equipment.

Dr. Hai-An Zhu is Chief Engineer at Omni Technologies. He previously held senior leadership roles in technology and business across various divisions of General Electric in Asia. Before GE, he served as Chief Engineer at Philips in Singapore and as Manager of the Technology Center at FESTO, Singapore. His academic career includes serving as Lecturer at the Institute of Artificial Intelligence and Robotics of Xi’an Jiaotong University and as Research Scholar at the National University of Singapore.

Dr. Zhu holds B.Sc. and M.Sc. degrees from Xi’an Jiaotong University, and a Ph.D. from the National University of Singapore. His expertise focuses on innovative sensing and control techniques for complex dynamic systems, bridging theoretical insights with industrial applications. Throughout his career, Dr. Zhu has received many prestigious awards from governments, professional institutions, and industry clients, recognizing his contributions to scientific innovation and technological advancement with positive societal impact.