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Leonardo Ramos Rodrigues – 1st expert on this subject based on the ideXlab platform
Remaining Useful Life Prediction for Multiple-Component Systems Based on a System-Level Performance IndicatorIEEE ASME Transactions on Mechatronics, 2018Co-Authors: Leonardo Ramos RodriguesAbstract:
Most prognostics and health management publications focus on the development of algorithms to monitor and estimate the health condition of individual components. However, estimating the remaining useful life (RUL) of complex systems comprising multiple components is a more relevant topic for the industry. An accurate system-level RUL prediction can be used as a powerful decision support tool to help industry practitioners reduce operational costs and increase availability of systems. This paper presents a method to estimate the RUL of multiple-component systems based on health monitoring information regarding each component in the system under consideration. The proposed method relates the health factors of each component to its performance. Then, a system-level performance indicator is computed based on the performance of each component and a system Architecture Function that describes the relations among different components within the system. The system-level RUL is then estimated based on the extrapolation of the system-level performance indicator and a known failure threshold. In the proposed method, a system failure is not necessarily connected with a component failure. We present two case studies to illustrate the application of the proposed method: 1) a simplified aircraft hydraulic system containing multiple pumps; and 2) an aircraft air conditioning system containing different components.
Tanja Neumann – 2nd expert on this subject based on the ideXlab platform
Introduction To Protein Science Architecture Function And Genomics, 2020Co-Authors: Tanja NeumannAbstract:
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Jifeng Yang – 3rd expert on this subject based on the ideXlab platform
Network Devices Fault Diagnosis Based on Rough Set Theory2010 International Conference on Internet Technology and Applications, 2010Co-Authors: Jifeng YangAbstract:
In this paper, a network devices fault diagnosis system based on Rough Set theory is introduced. It describe the design of fault diagnosis system from theory background, system Architecture, Function module and presents the basic principle, specific algorithm and steps to set up model which forms the fault diagnosis system by MIB data. It is proved effective for the system to diagnose the network devices via fault signals.