Computing Lifetime Distributions and Reliability for Systems With Outsourced Components: A Case Study | Zendy

Yongquan Sun | Zendy; Tieyuan Sun | Zendy; Michael G. Pecht | Zendy; Chunyu Yu | Zendy

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Computing Lifetime Distributions and Reliability for Systems With Outsourced Components: A Case Study

Author(s) -

Yongquan Sun,

Tieyuan Sun,

Michael G. Pecht,

Chunyu Yu

Publication year - 2018

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2018.2843375

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

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.

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