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The suddencollapse of several bridges in different parts of the world including developedcountries such as USA and Japan has highlighted the need for an efficient monitoringsystem for such vital structures. Vibration based structural health monitoring (SHM)techniques has emerged in the civil engineering community as a promising toolto continuously monitor the integrity of structures to detect damage at earlystages and consequently avoid global and sudden collapse of the monitoredstructure. As a result, several countries around the world utilized this systemand instrumented critical infrastructures with hundreds of sensors. Thesemonitoring systems typically produce huge amounts of data every year which makedata management, transfer and analysis a very challenging task to accomplish.Therefore, development of an automated SHM that can not only perform the damagedetection task but also manage both the hardware and the produced data is extremelyimportant. In this project, a MATLAB based automated SHM is developed at TheUniversity of Auckland, New Zealand and has been tested on lab models. The developedsystem can perform the following tasks periodically and automatically:-         Structure excitation-         Data recording-         Reliability check of the data-         Application of damageidentification techniques-         Generation of damage report-         Sending alarm signal in case ofdetecting damage.The developed system can be a promising tool toenhance the damage detection process and the performance of vibration based SHMsystems.

Structural health monitoring, Damage detection, Non-destructive evaluation, Vibration based damage identification