Parallel Fast Orthogonal Search on Graphics Processing Unit for Equipment Health Monitoring on Ship-Radiated Noise

Equipment health monitoring (EHM) techniques are increasing in their ability to accurately diagnose defective equipment. This increase in capability comes with an increase in computational complexity. For these techniques to be useful in real applications, the algorithms must be computable in real time. The Fast Orthogonal Search (FOS) algorithm shows the potential to be effective in a variety of EHM applications. In this paper, we demonstrate that the FOS algorithm can be accelerated to real-time processing on real examples of ship-radiated noise by using parallel processing, making it suitable for use in EHM.