This book provides vital know-how for developing Lamb-wave-based damage identification techniques, addressing fundamentals such as the mechanisms of Lamb wave activation, propagation and acquisition, the selection of transducers and design of active sensor networks, and the development of signal processing for de-noising, compression and feature extraction in different time domains. It provides descriptions of signal fusion algorithms for the quantitative determination of damage parameters. Additional topics include: finite element modelling and experimental techniques for Lamb waves; active sensor network technology using various agents, e.g., piezoelectric actuator/sensor and fibre Bragg grating sensor; identification algorithms based on fusion of extracted signal features; software-hardware systems for implementation of Lamb-wave-based damage identification including Lamb wave signal generation, acquisition and processing; and representative case studies and diverse engineering applications.