Recently, thanks to emerging ICT (Information and Communication Technology) such as IoT (Internet of Things), wireless telecommunication, and various sensor technologies, the concept of connected car has been highlighted in the automotive industry. In the connected car technology, one application is to diagnose and predict the car status in a real-time way based on gathered data. To this end, it is necessary to develop the diagnostics/prognostics algorithms for a specific part or component in a car. The results of diagnostics and prognostics could provide drivers with useful information used for advanced maintenance policy such as condition-based maintenance. In this study, we have reviewed the relevant previous research works before developing detailed algorithms.