TY - JOUR
T1 - A New Life Expectancy Assessment Method for Complex Systems with Multi-Characteristics
T2 - Case Study on Power-Shift Steering Transmission Control System
AU - Yi, Xiao Jian
AU - Chen, Yue Feng
AU - Mu, Hui Na
AU - Shi, Jian
AU - Hou, Peng
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
KW - GO method
KW - Reliability assessment
KW - complex systems
KW - life expectancy
KW - prognostic and health management
KW - system characteristics
UR - http://www.scopus.com/inward/record.url?scp=85061834693&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2019.2893216
DO - 10.1109/ACCESS.2019.2893216
M3 - Article
AN - SCOPUS:85061834693
SN - 2169-3536
VL - 7
SP - 17425
EP - 17438
JO - IEEE Access
JF - IEEE Access
M1 - 8616894
ER -
