Threshold design for low cost wave sensors through statistical analysis of data

Abstract

Wave monitoring is an essential activity in building offshore infrastructures and in producing weather forecasts. In this study, a technique for wave sensors used in wave monitoring is introduced. This technique utilizes the statistical parameters - kurtosis and skewness as threshold value generators. The values generated by this technique serve as baseline for normal wave conditions in the area of interest. Sensor deployments on five different areas are done to test this technique. This technique aims to boost the sensor's potential in determining the severity of the ocean waves. Also, this can be used in wave alarm systems that inform coastal communities of impending disasters.