Statistical Reliability Assessment of Standby Systems for Critical Components of Centrifugal Compressors

In this paper, for the reliability evaluation of the standby system of the key components of the centrifugal compressor, a reliability evaluation model is constructed considering the degradation of spare parts in the process of stocking. The model is based on statistical distributions such as Weibull distribution and analyses the effects of the number of spare parts and the degradation of spare parts on the reliability of the standby system. Through the Monte Carlo simulation method, the life distribution of the spare system is statistically analyzed, and the reasonableness and validity of the model are verified. The results show that the degradation of spare parts in inventory has a significant effect on the reliability of the standby system, and with the increase in the number of spare parts, the life and reliability of the standby system are positively correlated, but the growth trend gradually slows down. The results of the study also provide some support for the subsequent optimal management of spare parts for key components of centrifugal compressors.

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Published
2025-05-09
DOI
https://doi.org/10.1145/3756423.3756542
Primary Topic
Engineering Diagnostics and Reliability
Type
article
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article

Statistical Reliability Assessment of Standby Systems for Critical Components of Centrifugal Compressors

Huai Su, Xin Yang, Bingyuan Hong, Xiaofang Lv et al.
Engineering Diagnostics and Reliability
article

Statistical Reliability Assessment of Standby Systems for Critical Components of Centrifugal Compressors

Huai Su, Xin Yang, Bingyuan Hong, Xiaofang Lv, William Guo, Zengrui Wang, Shanjing Peng, Xiao Wang
article en

Abstract

In this paper, for the reliability evaluation of the standby system of the key components of the centrifugal compressor, a reliability evaluation model is constructed considering the degradation of spare parts in the process of stocking. The model is based on statistical distributions such as Weibull distribution and analyses the effects of the number of spare parts and the degradation of spare parts on the reliability of the standby system. Through the Monte Carlo simulation method, the life distribution of the spare system is statistically analyzed, and the reasonableness and validity of the model are verified. The results show that the degradation of spare parts in inventory has a significant effect on the reliability of the standby system, and with the increase in the number of spare parts, the life and reliability of the standby system are positively correlated, but the growth trend gradually slows down. The results of the study also provide some support for the subsequent optimal management of spare parts for key components of centrifugal compressors.

China University of Petroleum, Beijing (CN), Zhejiang Ocean University (CN), Changzhou University (CN), Oil and Gas Center (CN)
Openalex Percentile: Top 71%
Engineering Diagnostics and Reliability
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Statistical Reliability Assessment of Standby Systems for Critical Components of Centrifugal Compressors — Huai Su, Xin Yang, et al. · (2025) | TGRS Research Map | TGRS