Loading [a11y]/accessibility-menu.js
Threshold design for low cost wave sensors through statistical analysis of data | IEEE Conference Publication | IEEE Xplore
Scheduled Maintenance: On Monday, 27 January, the IEEE Xplore Author Profile management portal will undergo scheduled maintenance from 9:00-11:00 AM ET (1400-1600 UTC). During this time, access to the portal will be unavailable. We apologize for any inconvenience.

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...Show More

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.
Date of Conference: 16-19 July 2012
Date Added to IEEE Xplore: 24 January 2013
ISBN Information:
Conference Location: Genova, Italy

References

References is not available for this document.