This book presents a comprehensive and systematic treatment of acoustic emission (AE)-based intelligent monitoring for laser shock peening (LSP). It focuses on AI-enabled perception, feature learning, and interpretable decision-making for real-time evaluation of residual stress and process quality. Topics of particular interest include dual-loop LSTM-based data optimization, adaptive cepstrum representations, deformable convolutional compression, and transparent deep learning architectures. Rich experimental results, detailed illustrations, and structured modeling frameworks are provided throughout. Readers gain practical methodologies and theoretical insights to design reliable, interpretable, and scalable monitoring systems for advanced laser manufacturing processes.

Zhifen Zhang is a professor and expert in laser additive manufacturing, laser welding, and laser shock peening, with a strong focus on intelligent process monitoring and quality evaluation. She received her Ph.D. from Shanghai Jiao Tong University and has led multiple national research projects in advanced laser manufacturing and smart sensing technologies.

Rui Qin is a researcher in laser shock peening and intelligent monitoring, specializing in the fusion of acoustic emission signals, image data, and machine learning algorithms for process evaluation. He received his Ph.D. from Xi’an Jiaotong University.

Jing Huang is a researcher focusing on manufacturing and service performance of critical engineering equipment, with expertise in acoustic emission-based monitoring and AI-driven 
diagnostics. She received her Ph.D. from Xi’an Jiaotong University.

Guangrui Wen, born in 1976, is a professor and Ph.D. supervisor at the School of Mechanical Engineering, Xi’an Jiaotong University. Dr. Guangrui Wen is currently a full professor of the School of Mechanical Engineering and the executive dean of the School of International Education in XJTU, China. He is also the vice dean of the Key Laboratory of Education Ministry for Modern Design & Rotor-Bearing System and the vice dean of National & Local Joint Engineering Research Center for Equipment Operation Safety Assurance and Intelligent Monitoring, China. Dr. Wen is a member of IEEE, the Chinese Mechanical Engineering Society (CIME), the Chinese Society for Vibration Engineering (CSVE), and the executive director and deputy secretary-general of the Dynamic Test Professional Committee of CSVE. Dr. Wen has authored two books, over 80 peer-reviewed journal articles, and held 
more than 20 patents. His research interests include artificial intelligence, mechanical system fault detection and prognosis, mechanical equipment life cycle health monitoring, and intelligent maintenance.

Together, the authors bring strong interdisciplinary expertise spanning laser processing, signal analysis, and artificial intelligence.