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Scale parameter assessment based on pivot quantity for reliability analysis of a complex system

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Abstract

Reliability assessment is the key to the reliability design of a complex system. This paper takes the lithium battery pole slice separators (LBPSS) as the research object and selects the superposition Weibull model as the initial model. Based on the graphic method, a pivot quantity is introduced to estimate the range of scale parameters. A genetic algorithm is used to optimize parameters in a given parameter interval. Compared with other models and techniques, using the superposition Weibull model, pivot quantity, and graphic method to evaluate the reliability of LBPSS is more reasonable, provides a reference for improving the reliability and maintainability of LBPSS, and lays a theoretical foundation for analyzing the failure mode and failure mechanism of a complex system.

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Abbreviations

LBPSS :

Lithium battery pole slice separators

MTBF :

Mean time between failure

S-LLP :

Superposed log-linear process

WPP :

Weibull plotting paper

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Acknowledgments

This work was supported by the Ministry of Industry and Information Technology Smart Manufacturing New Model Project (Research on Key Technologies of Liquid Supply System), China. The authors are grateful to the referees for their constructive comments and suggestions, which have improved the manuscript.

Author information

Authors and Affiliations

  1. School of Mechatronic Engineering, Changchun University of Technology, Changchun, 130012, China

    Dongwei Gu, Jinhan Gao, Yuhong Zhong & Zhen Xu

Authors
  1. Dongwei Gu
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  2. Jinhan Gao
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  3. Yuhong Zhong
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  4. Zhen Xu
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Corresponding author

Correspondence to Dongwei Gu.

Additional information

Recommended by Editor Chongdu Cho

Dongwei Gu is a Teacher at the School of Mechatronic Engineering of Changchun University of Technology, Changchun, China. He received his Ph.D. in Mechanical Engineering from Jilin University of China. His research interests include reliability modeling and preventive maintenance. He has published over 20 academic articles. Dr. Gu is a member of the Chinese Mechanical Engineering Society.

Jinhan Gao was born in Changchun City, Jilin Province, China, on October 9, 1995. She graduated with a Bachelor’s degree in Engineering from the Mechanical Engineering of School of Humanities and Information, Changchun University of Technology, Changchun City, Jilin Province, China in 2018. She majored in Mechanical Engineering at the Graduate School of Mechanical Engineering of Changchun University of Technology. Her research direction is reliability. She won the third class scholarship in school. When she was in university, she had some knowledge of reliability, but now she is more interested in reliability.

Yuhong Zhong was born on April 8, 1997 in Jiaxing, Zhejiang. She received an engineering degree, majoring in Reliability Engineering, from the Changchun University of Technology in 2019 and is working toward a B.S. degree at the Changchun University of Technology, Changchun, Jilin Province. She won two national inspirational scholarships at the School of Humanities and Information of the Changchun University of Technology. She is currently a student. Her current research interest is the analysis of importance.

Zhen Xu was born in Zibo City, Shandong Province, China on December 15, 1995. He graduated from Shandong Linyi University in 2017, majoring in Mechatronics with a University degree. He graduated from Shandong Zaozhuang University in 2019 with a Bachelor’s degree in Mechanical Design, Manufacturing, and Automation. He won a scholarship at Linyi University. He is currently studying for a Master’s degree at Changchun University of Technology. His research interests include reliability prediction and maintenance.

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Gu, D., Gao, J., Zhong, Y. et al. Scale parameter assessment based on pivot quantity for reliability analysis of a complex system. J Mech Sci Technol 35, 1007–1015 (2021). https://doi.org/10.1007/s12206-021-0214-z

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  • DOI: https://doi.org/10.1007/s12206-021-0214-z

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