Application of a data driven methodology to monitor the operational status of surveillance radars.
Author
Al-Hinai, Mohammed Mubarak Said.
Publisher
Sultan Qaboos University.
English abstract
There are three main types of maintenance that can be conducted for a system: preventive
maintenance, corrective maintenance and condition-based maintenance. Condition-based
maintenance (CBM) is considered the most important field in maintenance nowadays
because it is related directly to minimising cost and time to ensure availability of a certain
system. In order to ensure making the correct decision based on the result of CBM, much
research has been conducted to continue to develop the accuracy of CBM results. Most of
the research used the parameter of failure rate of main subsystems that make the main
system as a backbone for their studies. Then these parameters are used to give the
probability of failures for each subsystem and to estimate the reliability of the main system.
This research aims to monitor health status of a SMART-S radar by identifying the failure
probability of the radar, by implementing a data-driven approach with both the radar's main
units' failure records and internal fitted sensors (temperature and flowrate /pressure sensors)
readings. The contributions of this research are to introduce for first time CBM to Royal
Navy of Oman fleet maintenance facilities and to use live sensors' readings (by utilizing
software to predict radar unit's conditions using sensors' readings) to prove software
predictions results of radar unit's failure probability.
