Guidance for planning and integrating autonomous SHM systems Technologies for integrating sensors, actuators, materials, arrays, and networks Data mining, CBM+, SHM and asset management, wind turbines, industrial smart materials, ships, nonlinear ultrasonic SHM, waves in damage detection This two-volume book of over 2,300 pages, SHM: From System Integration to Autonomous Systems, offers more than 250 original and never-before published research papers on all phases of structural health monitoring. Papers in this book, originally presented at the IWSHM conference at Stanford University, contain emerging data on sensors, networking, signal processing, data mining, materials engineering and multifunctional design of SHM components. More importantly, the book provides technical guidance and examples on how the numerous different components of structural health monitoring can be integrated into either on-board SHM systems where network, hardware and software are built into the structure, and off-board systems in which only the sensor networks are permanently attached to the structure. The volume contains critical information for scientists and engineers aiming to design, implement, and validate SHM systems in aircraft, bridges, highways, and ships. A special section on industrial uses of structural health monitoring shows how SHM is now being applied in commercial facilities to expedite asset management, safety and cost controls. Table of Contents Main Sections: AEROSPACE, AIRCRAFT, ROTORCRAFT AND LAUNCH SYSTEMS; CIVIL, PIPELINES AND ENERGY STORAGE INFRASTRUCTURES; HEALTH MANAGEMENT/CBM+; HEALTH MONITORING OF BRIDGES FOR ASSET MANAGEMENT; IMPLEMENTATION/VALIDATION FOR SHM; LAND/MARINE VEHICLES AND STRUCTURES; MODELING AND SIMULATION; SENSING NETWORK, AUTONOMOUS SYSTEM; SENSORS AND ACTUATORS DEVELOPMENT; SIGNAL PROCESSING, MONITORING, DIAGNOSTICS; Special Sessions: DATA MINING AND PROGNOSTICS; HEALTH MONITORING FOR WIND TURBINES; INDUSTRIAL SMART M