The reliability calculation of equipment impact resistance based on stress-strength interference model

Ji-sheng, Wang; Li, Chuanri; Zhang, David

doi:10.1109/icrse.2015.7366454

Cited by 4 publications

(3 citation statements)

References 7 publications

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“…The Stress-Strength Interference model for estimating equipment reliability was studied. The author obtained the computing model of discrete stress, and the distribution obeys a certain distribution (Wang, Li, Li, & Zhang, 2015). Also, the paper gives a practical example to verify the correctness of the computations.…”

Section: Literature Reviewmentioning

confidence: 99%

Reliability Analysis of Keith Centrifuge at a Meat Processing Plant in Windhoek, Namibia

Shitana

Sony

2022

International Journal of Operations Research and Information Systems

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Critical equipment failures in a meat processing plant can shut down the business unit, resulting in a loss of output and financial loss. Furthermore, many stakeholders face risks because of equipment failures. The purpose of this study is to model the failures of the critical equipment which will in turn aid in the analysis of failure patterns and the production of various reliability estimations to prevent such losses. In a meat processing plant the blood centrifuge, is important equipment as failure will render the plant non-operational. This case study conducted the failure analyses of the ‘Keith’ centrifuge at the Meat processing plant in Windhoek, Namibia. Both parametric and nonparametric models with the help of computer software. In addition, sensitivity analysis was carried out on both models to improve the reliability of the equipment. The preventative maintenance model was also constructed and tested in the meat processing plant, and it provided good results.

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Section: Literature Reviewmentioning

confidence: 99%

Reliability Analysis of Keith Centrifuge at a Meat Processing Plant in Windhoek, Namibia

Shitana

Sony

2022

International Journal of Operations Research and Information Systems

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“…After consulting the relevant literature, the application research of uncertain systems in various engineering fields has made corresponding progress, for example, combining the analysis method and the checkpoint method with the MATLAB software platform to improve the reliability of key component analysis [3]. e gray system is extended to the theory of probability statistics, the gray probability density function and gray reliability calculation method are studied, and the gray reliability calculation model of stress intensity interference is established [4]. A generalized SPE flux sequence and an extreme value SPE flux sequence taking the occurrence time as a sequence are proposed, and a solar proton event prediction method based on gray GM (1,1) and interval is established [5].…”

Section: Introductionmentioning

confidence: 99%

Reliability Analysis of Key Components of the Pod Based on Grey System Theory

Shen³

2020

Mathematical Problems in Engineering

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For improving the reliability of key components in an airborne pod, gray system theory is introduced into the virtual design of airborne pod. Based on this theory, key components of airborne pod are analyzed and mathematical models of the gray relational model and absolute and relative gray relational model are established, respectively. The differences and relations of the three methods for evaluating the robustness of products are researched. Considering the influence of relevant factors, the change rate of each evaluation index is calculated, and the reliability analysis of the airborne pod body is realized ultimately. Finally, the No. 2 test pod body is the optimal solution, which provides an effective theoretical basis for determining the optimal structure of the airborne pod body.

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“…Meanwhile, this equipment performance degradation data can provide important information for reliability evaluation, thus, two reliability evaluation methods based on performance degradation data were presented, i.e., reliability evaluation method based on degradation path and reliability evaluation method based on performance degradation distribution [12,13]. The reliability estimation approaches of mechanical equipment are based on the historical performance degradation data, amongst which statistical distribution models [14] have been used in this area, such as the regression model [15], exponential distribution, and Weibull distribution [8,[16][17][18]. In this research, a novel method for reliability assessment of mechanical equipment based on process signals and degenerate data was developed.…”

Section: Introductionmentioning

confidence: 99%

Research on Reliability Assessment of Mechanical Equipment Based on the Performance–Feature Model

Dai

Chi

et al. 2018

Applied Sciences

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There is a growing body of literature which recognizes the importance of mechanical equipment reliability during processing, and reliability assessment is important in guaranteeing the precision, function, and use life span of mechanical equipment. For products with a long lifetime and high reliability, it is difficult to assess lifetime and reliability using traditional statistical inference based on a large sample of data from the lifetime test. Therefore, this study contributed to this growing area of research, through a reliability evaluation method based on degradation path distribution related to signal characteristics. In this research, an effective method for reliability assessment was constructed, in which the signal features of the machining process were used to replace traditional time data and fit equipment degradation model. The pseudo failure characteristic (PFC) was obtained according to the failure threshold and the reliability curve was plotted by a PFC distribution model. Experimental investigation on tool reliability assessment was used to verify the effectiveness of this method, in which the trend that tool wear changes with the features was fitted by a Gaussian distribution function and Logarithmic distribution function, to obtain a better tool degradation model. The results illustrated the model could evaluate reliability of mechanical equipment effectively.

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The reliability calculation of equipment impact resistance based on stress-strength interference model

Cited by 4 publications

References 7 publications

Reliability Analysis of Keith Centrifuge at a Meat Processing Plant in Windhoek, Namibia

Reliability Analysis of Keith Centrifuge at a Meat Processing Plant in Windhoek, Namibia

Reliability Analysis of Key Components of the Pod Based on Grey System Theory

Research on Reliability Assessment of Mechanical Equipment Based on the Performance–Feature Model

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