Journal
IEEE ACCESS
Volume 7, Issue -, Pages 17425-17438Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2019.2893216
Keywords
Reliability assessment; complex systems; GO method; life expectancy; system characteristics; prognostic and health management
Categories
Funding
- National Natural Science Foundation [71801196]
- National Major Project from the Shanghai Nuclear Engineering Research and Design Institute [2017ZX06002006]
- CAS Key Laboratory of Solar Activity in National Astronomical Observatories [KLSA201803]
- China Postdoctoral Science Foundation [2018M631606]
- National Science Key Lab Fund Project [6142212180308]
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Life is an important monitoring index for prognostic and health management systems. This paper proposes a new life expectancy assessment method for high-value complex systems with multi-characteristics based on goal-oriented (GO) method. First, the new life expectancy assessment method is expounded in detail, and its process is formulated. Then, the control system of power-shift steering transmission for a heavy vehicle, which is a typical mechatronics control system with multi-characteristics, such as multi-state, multi-function, and correlations, is taken as an example to evaluate its life expectancy by this paper's method. In order to verify the advantages, feasibility, and rationality of the new life expectancy assessment method, the results are compared with the results by Monte Carlo method. All in all, this life expectancy assessment method not only improves the theory of GO method, so that GO method is applied to evaluate the life expectancy of complex systems with multi-characteristics first, but also provides a new approach for life expectancy assessment of complex systems, which can take into consideration various system characteristics and only use unit life data, so that it is low evaluation cost, higher estimating efficiency and accuracy, and a more stable assessment result.
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