Using R, WEKA and RapidMiner in Time Series Analysis of Sensor Data for Structural Health Monitoring

Abstract

In the past years research done in the field of structural health monitoring has been focusing on the development of a robust and cost-effective monitoring solution by integrating and extending technologies from various engineering and information technology disciplines. There are many data mining, statistical computing and graphics tools available that can be successfully applied and integrated into the analysis and monitoring processes. In this paper we present and compare some of the main functionalities of three well-known data mining tools and programming languages (R, WEKA and Rapid Miner) and how they can be successfully used in the domain of time series analysis of sensor data in structural health monitoring.