Abstract
Extracted reliability information is universal in practice and makes it difficult to estimate system lifetime distributions and reliability. In order to address this problem, this paper develops a method to compute lifetime distributions of serial, parallel, and serial/parallel systems using the failure probability density functions of outsourced components, and then to compute system reliability and component importance measures. Time-varying weights are introduced to simplify the lifetime distribution of a system with multiple types of components and make the system lifetime distribution to be a sum of component probability density functions. A case study illustrates the developed method by identifying the lifetime distribution of a radio navigation system for large passenger aircraft. To demonstrate the effectiveness of the developed method, the estimation results from the developed method are compared with the results from a computer simulation method.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
