TY - GEN
T1 - Reliability Analysis of Manufacturing Machine with Degradation and Low-quality Feedstocks
AU - Ye, Zhenggeng
AU - Cai, Zhiqiang
AU - Yang, Hui
N1 - Funding Information:
The authors (ZY and ZC) thanks research support from the National Natural Science Foundation of China (Nos. 71871181, 71631001), the 111 Project (No. B13044), the Innovation Foundation for Doctor Dissertation of Northwestern Polytechnical University (No. CX202028). The author (HY) thanks Harold and Inge Marcus Professorship for financial support. (Corresponding author: Zhiqiang Cai, [email protected]) Z. Ye, and Z. Cai are with School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an, 710072, P.R. China. They are also with the Ministry of Industry and Information Technology Key Laboratory of Industrial Engineering and Intelligent Manufacturing, Northwestern Polytechnical University, Xi’an, 710072, P.R. China. Also, Z. Ye is a visiting scholar at Complex Systems Monitoring, Modeling and Control Laboratory in the Harold and Inge Marcus Department of Industrial and Manufacturing Engineering, Pennsylvania State University (University Park), State College, PA 16802-1401, USA H. Yang is with the Department of Industrial and Manufacturing Engineering, Pennsylvania State University (University Park), State College, PA 16802-1401, USA.
Publisher Copyright:
© 2020 IEEE.
PY - 2020/8
Y1 - 2020/8
N2 - Machine reliability is one major concern in manufacturing industries, which is affected by interior degradation and outside shocks simultaneously. Low-quality feedstocks, as one typical kind of shocks, may arrive randomly during the operation of a machine. However, due to the instability of environment and manufacturing factors, low-quality feedstocks may arrive in clusters in some specific batches. In this paper, we first proposed a reliability evaluation model for the repairable machine, accounting for machine degradation and shocks caused by low-quality feedstocks. Then, the cluster arrival of low-quality feedstocks is modeled by the Hawkes point process with the properties of self-exciting and history dependent. Moreover, considering the degradation and shocks, the mixture failure rate of a machine is modeled. Further, the expectation of remaining lifetime is derived. Finally, the simulation experiment is implemented to compare the performance between the machine when the arrival intervals of low-quality feedstocks follow the Poisson point process and the Hawkes point process. Experimental results show the effectiveness of the proposed model for machine reliability analysis.
AB - Machine reliability is one major concern in manufacturing industries, which is affected by interior degradation and outside shocks simultaneously. Low-quality feedstocks, as one typical kind of shocks, may arrive randomly during the operation of a machine. However, due to the instability of environment and manufacturing factors, low-quality feedstocks may arrive in clusters in some specific batches. In this paper, we first proposed a reliability evaluation model for the repairable machine, accounting for machine degradation and shocks caused by low-quality feedstocks. Then, the cluster arrival of low-quality feedstocks is modeled by the Hawkes point process with the properties of self-exciting and history dependent. Moreover, considering the degradation and shocks, the mixture failure rate of a machine is modeled. Further, the expectation of remaining lifetime is derived. Finally, the simulation experiment is implemented to compare the performance between the machine when the arrival intervals of low-quality feedstocks follow the Poisson point process and the Hawkes point process. Experimental results show the effectiveness of the proposed model for machine reliability analysis.
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U2 - 10.1109/APARM49247.2020.9209452
DO - 10.1109/APARM49247.2020.9209452
M3 - Conference contribution
AN - SCOPUS:85093955250
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.
T2 - 2020 Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling, APARM 2020
Y2 - 20 August 2020 through 23 August 2020
ER -