Bøger af Yihua Hu

This book comprehensively covers the recently-developed AI techniques for solving condition monitoring and fault detection issues in EV electrical conversion systems. Chapters systematically address condition monitoring and fault detection in EV motors and inverters, with illustrative case studies.

This book highlights the novel photoelectric detection technique on derived attributes of targets. Photoelectric detection on derived attributes of targets is a new target detection and monitoring method. It is achieved by acquiring three types of attributes of the target, including those that reflect the essential features of parts of the target, those directly generated from the target, and those synthesized by the target features. The book introduces the classification of derived attributes of targets and describes typical detection methods. Emphases are put on laser detection of aerial moving targets, using derived attributes such as the disturbance of atmospheric wind fields, trailing vortexes, and the disturbance of atmospheric components. The authors also elaborate on visible light imaging detection using derived attributes such as retroreflection and the identification of target carriers. Besides, the synthetic attributes processing of integrated aerospace images is introducedfor the detection of targets on the ground and sea surfaces. This book can be used as a good reference for researchers engaged in the fields of photoelectric detection, target detection and image processing, and as a reference book for senior undergraduates and postgraduates in relevant majors.

The book offers an invaluable resource for researchers, especially those who are engaged in the fields including target detection based on a laser imaging system, target detection and identification, remote sensing imaging and image processing.