A signal energy approach of acoustic source localization in plate structures using a discrete sensor array.

In the field of engineering structural health monitoring, acoustic source localization (ASL) is a common method to monitor early damage. Most of the existing ASL techniques have high requirements for accurate acquisition of time of arrival, and require complex iterative algorithms or signal processing techniques, which are not conducive to real-time monitoring. In this paper, a signal energy approach of acoustic source localization in plate structures using a discrete sensor array is proposed.

A damage localization technique using wave front shapes in composite laminates without knowing the velocity profile.

Composite laminates are widely used in various fields, but their structures are prone to cracks and damage. Due to the difference in angles of the instantaneous direction of the wave front propagation and the direction of the energy flow in an anisotropic material, the use of Lamb waves for damage localization in composite laminates is a challenging task. Establishing the wave front shape equation can overcome the difficulty of damage localization caused by anisotropy, but this usually requires a priori knowledge of the acoustic velocity distribution of the laminates, which is not convenient for efficient damage localization.

Acoustic source localization using L-shaped sensor clusters: A review.

Acoustic source localization (ASL) plays an important role in structural health monitoring (SHM). The L-shaped sensor cluster (LSSC) is very convenient for ASL, and hence SHM. Various techniques based on LSSC have been developed rapidly in the past decade.