This text describes how the design, analyzing capacity, and optimization criteria of mechatronics systems can be improved using numerical, experimental, and computational approaches, and how it helps in data sensing, fault detection, and diagnosis. It further discusses topics such as intelligent mechatronics systems and their applications in manufacturing, robotics, and automation. This book: Discusses the applications of mechatronics systems in manufacturing, automation, robotics, medical, pharmaceuticals, ground, and air transportation sectors Presents numerical, experimental, and computational approaches for signal sensing, fault detection, and diagnosis Highlights the importance of using smart technologies such as artificial intelligence, the Internet of Things, digital twins, machine learning, and deep learning for mechatronic systems Illustrates the concept of controlling mechatronics devices using virtual reality (VR), augmented reality, and mixed reality Explains the need for the Internet of Things for mechatronics systems and applications in biomedical and pharmaceutical industries It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of mechanical engineering, industrial and manufacturing engineering, electrical engineering, electrical and electronics engineering, automotive engineering, and computer engineering.

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