Title :
State Prognostics Based Health Management for Complex Systems
Author :
Aofu Zhang ; Lirong Cui ; Pu Zhang
Author_Institution :
Sch. of Manage. & Econ., Beijing Inst. of Technol., Beijing, China
Abstract :
The research on Prognostics and Health Management (PHM) for complex systems is a hot topic in the current reliability field, its main idea is to change the system logistics from state monitoring to state management, which makes people pay an attention actively on the system failures and risk of performance, and do the health management for complex systems. Thus, the research is significant in both theory and practice. The contents of the research include three areas in PHM. Optimal allocation and reliability evaluation for sensor systems, which is a base for obtaining the system operation information, Modeling and method for prognostics under uncertainty conditions, which is a basic work and content for PHM, Health management and optimal decisions is the heart of PHM. The research will build an essential base on applications of PHM for complex systems in the future.
Keywords :
condition monitoring; failure analysis; large-scale systems; reliability theory; sensors; PHM; complex systems; optimal allocation; optimal decisions; performance risk; prognostics method; reliability evaluation; sensor systems; state management; state monitoring; state prognostics-based health management; system failures; system logistics; system operation information; uncertainty conditions; Degradation; Hidden Markov models; Maintenance engineering; Predictive models; Prognostics and health management; Reliability; Sensor systems; Health management; Management strategies; Models and methods; Sensor system; State prognostics;
Conference_Titel :
Information Technology and Applications (ITA), 2013 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4799-2876-7
DOI :
10.1109/ITA.2013.111
