- Menglong Liu, Harbin Institute Of Technology (Shenzhen)
- Gongfa Chen
- Fangsen Cui
Non-destructive testing (NDT) and structural health monitoring (SHM) are very important for quality assurance of manufacturing and in-service of various structures. The aim of this mini-symposium is to report and discuss the recent progress in: i) computational modeling methods which target modal and transient wave analysis (such as guided wave); ii) new methods/approaches with advanced sensor technologies (sensors can be mechanical, acoustical, electrical, etc); iii) signal processing algorithms (high-order, time/frequency domains, adaptive etc); and iv) machine learning based methods for effective NDT and SHM.
Keywords: Non-destructive Testing, Structural Health Monitoring, Ultrasonic Transducers, Vibration and Waves, Fault diagnosis, Signal Processing, Artificial Neural Network, Machine Learning