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Currently, most machine learning methods applied in spacecraft fault diagnosis are supervised learning methods, which have obvious shortcomings in representing complex functions under limited samples and cells. Moreover, the generalization ability of these methods is restricted. This article proposes a deep machine learning based method on satellite power system fault diagnosis, which combines the...
It takes time to do feedback and control for the outer loop UAV system from failure to determine in the outer loop which will affect the stability of the system if not handled in time. As a large hysteresis delay complex systems it is the only way for UAV to master craft condition telemetry and remote data. UAV's prognostics and health management (PHM) technology, is to predict, monitor and manage...
With the rapid development of sensor technology on vehicles, more and more vehicles are checked from artificial detection to auto monitoring. A great number of real-time data acquired from sensors provides important foundation for PHM application on vehicles. Aiming at the special mining vehicle, it proposes the solution for real-time monitoring, fault diagnosis and health management based on the...
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