TY - GEN
T1 - Reliability analysis for competitive failure processes with multi-state degradation
AU - Jiang, Aiping
AU - Huang, Leqing
AU - Xiang, Yisha
N1 - Funding Information:
The research described in this paper has been funded by the National Natural Science Foundation of China (Grant No. 71302053).
Publisher Copyright:
© 2020 IEEE.
PY - 2020/8
Y1 - 2020/8
N2 - In order to better simulate the condition states of the system and get a more accurate reliability of the system, this paper investigates three failure modes for a single component system: Multi-state degradation and two failures due to extreme shocks and cumulative shocks. A comprehensive consideration of several internal and external factors for a system with multiple condition states would make the model more practical, applicable and realistic compared with the previous researches which only consider one side. Different degradation rates and shock rates are used simultaneously in one model, considering the different states of the system. Deterioration level and effects of shocks, corresponding system reliability is established according to the probabilistic and statistics theory. The sensitivity analysis of variables in system reliability model is also conducted to identify the most significant factors. Our results show that: (1) The system reliability decreases with accelerating rate and then the decelerating rate after reaching the peak. (2) Reliability is significantly sensitive the state transition parameters, internal degradation means and intensity of external shocks, where the company would benefit a lot from finding the optimal value of these variables, and improve the reliability of the whole system.
AB - In order to better simulate the condition states of the system and get a more accurate reliability of the system, this paper investigates three failure modes for a single component system: Multi-state degradation and two failures due to extreme shocks and cumulative shocks. A comprehensive consideration of several internal and external factors for a system with multiple condition states would make the model more practical, applicable and realistic compared with the previous researches which only consider one side. Different degradation rates and shock rates are used simultaneously in one model, considering the different states of the system. Deterioration level and effects of shocks, corresponding system reliability is established according to the probabilistic and statistics theory. The sensitivity analysis of variables in system reliability model is also conducted to identify the most significant factors. Our results show that: (1) The system reliability decreases with accelerating rate and then the decelerating rate after reaching the peak. (2) Reliability is significantly sensitive the state transition parameters, internal degradation means and intensity of external shocks, where the company would benefit a lot from finding the optimal value of these variables, and improve the reliability of the whole system.
KW - competitive failure
KW - degradation
KW - delayed time theory
UR - http://www.scopus.com/inward/record.url?scp=85093925198&partnerID=8YFLogxK
U2 - 10.1109/APARM49247.2020.9209536
DO - 10.1109/APARM49247.2020.9209536
M3 - Conference contribution
AN - SCOPUS:85093925198
T3 - 2020 Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling, APARM 2020
BT - 2020 Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling, APARM 2020
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 20 August 2020 through 23 August 2020
ER -