Dynamical reliability analysis and remaining useful life prediction for an on-orbit satellite camera

Launch missions of small satellites have been increasing in recent years. As the main payload, the camera plays a pivotal role in remote sensing detection. Therefore, on-orbit health estimation is a continuous concern for satellite design. This study aims to develop a dynamic intelligent health estimation algorithm for the on-orbit satellite camera. Based on fuzzy theory in the intelligent health estimation algorithm, the reliability and the remaining useful life are transformed into a newly defined health estimation index, namely health vector, which reflects camera health from the aspects of the electrical and mechanical parts. Compared with traditional methods, the new intelligent health estimation algorithm can not only judge the development direction of satellite camera's health status, but also predict the degree of change. In addition, the proposed health vector is concise for engineers to monitor the health status of satellites in real time from the ground in multiple dimensions. In summary, this study provides a new method for on-orbit health management of satellite cameras.

Automated summary

This study aims to develop a dynamic intelligent health estimation algorithm for on-orbit satellite cameras. Based on fuzzy theory, the algorithm transforms reliability and remaining useful life into a new health estimation index called health vector, which reflects camera health from electrical and mechanical perspectives. Compared to traditional methods, this algorithm can not only determine the development direction of camera health status, but also predict the degree of change.