vi as the critical maintenance driving components. After selecting the component preponderant failure modes are analysed and it is found that the degradation mechanism for both of these components is wear. Subsequently wear prediction algorithms are developed for valves and cylinder liners, and prognosis tools are developed based on these methods. This prognosis tool is applicable for various propulsion systems, such as diesel electric, waterjet, and engine-driven controllable pitch propeller (CPP). Once the usage profiles of the ships are known, the tool is capable of predicting the component's remaining useful life time.Its ability is demonstrated by subjecting this tool to various usage profiles that the ships encounter in their life time. In all these simulations, the effects of ship operating environment and the influence of propulsion systems on the expected life time of components agreed with the general observations in the maritime industry.As the results are promising, the prognosis tool -which is in prototype form -can be developed further and integrated in the present maintenance practices. The presented framework enables the shipping companies to carry out maintenance in an effective way and to improve the reliability and availability of the ships.