A Spacecraft Launch Organizational Reliability Model Based on CSF

Xuejun, Dong; Chen, Yingwu; Li, Ming; Zhang, Yingxin

doi:10.1002/qre.1455

Cited by 3 publications

(3 citation statements)

References 17 publications

(17 reference statements)

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“…According to the theory of organizational reliability, 30,31 the quality-achieving reliability function of mechanical products can be given by…”

Section: Quality-achieving Reliability Modelmentioning

confidence: 99%

“… 13 The most effective approach is to decompose the complex factor into a series of simple facilitating factors and then to use these simple factors to determine the status of the complex factor. 30 Therefore, it is feasible to decompose the quality-achieving reliability of rolling bearing into a series of simple factors whose statuses are easily examined. Then, the factor status of rolling bearing can be synthesized by examining the statuses of all of the simple factors.…”

Section: Modelmentioning

confidence: 99%

“…According to the factor synthesis method, the weight can be used to synthesize the status of the influencing factors in each grade. Therefore, the status composite value o u is given by According to the theory of organizational reliability, 30 , 31 the quality-achieving reliability function of mechanical products can be given by Where, R u is the quality-achieving reliability when the quality of the bearing is in the u grade, a and b are quality influence coefficients.…”

Section: Modelmentioning

confidence: 99%

See 2 more Smart Citations

Quality-Achieving Reliability Assessment of Rolling Bearing Based on Bootstrap Maximum Entropy Method and Similarity Method

Cheng

Xia

et al. 2022

Science Progress

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Rolling bearing reliability is often affected by the processing quality, however the life reliability or operating reliability do not involve the study of rolling bearing processing quality assessment. In order to avoid bearing failure caused by bearing processing quality, it is necessary to evaluate the reliability of the bearing quality assurance capability. The difficulty in reliable evaluation of bearing's quality assurance capability is how to quantify the uncertain relationships between the bearing quality and its influence factors, and then determine the weight of different influencing factors. Therefore, in this paper, a novel method for determining the weight of bearing quality-influencing factors based on bootstrap maximum entropy method and similarity method is proposed, and then the quality-achieving reliability model is established. The experimental results show that the proposed method can effectively quantify the relationship between the bearing quality and its influencing factors, and accurately assess the bearing quality assurance capability and bearing quality processing level under the condition of a small number of experimental bearings. Compared with other quality-achieving reliability method, the proposed method is more effective.

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“…According to the theory of organizational reliability, 30,31 the quality-achieving reliability function of mechanical products can be given by…”

Section: Quality-achieving Reliability Modelmentioning

confidence: 99%

Section: Modelmentioning

confidence: 99%

Section: Modelmentioning

confidence: 99%

See 1 more Smart Citation

Quality-Achieving Reliability Assessment of Rolling Bearing Based on Bootstrap Maximum Entropy Method and Similarity Method

Cheng

Xia

et al. 2022

Science Progress

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Integrated System Health Management-based Fuzzy On-board Condition Prediction for Manned Spacecraft Avionics

Meng

2014

Qual. Reliab. Engng. Int.

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The purpose of this study is to develop a prediction methodology for a condition assessment of on-board integrated health management systems in manned spacecraft avionics. The framework of this study is based on two main premises. The first is the need to examine the problems in the on-board prediction tools in space avionics integrated system health management, an area that has been rarely focused on. The second is the need to consider the failure correlation coefficients to enable accurate health predictions. To deal with the uncertainty in the prediction process, a fuzzy theory-gray model-support vector machine approach, which uses fuzzy theory combined with a gray model and a support vector machine, is used to make the prediction. An example is given to demonstrate the accuracy and reliability of the model.

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An Assessment of the Quality-Achieving Reliability of Mechanical Products Based on Information-Poor Theory

Xia

Shang

Jin

et al. 2015

Journal of Testing and Evaluation

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Reliable evaluation of a product's quality assurance capability is difficult to quantify due to the intricacies of the quality assurance process and the uncertain relationships between the product quality and its influence factors. To address this problem, with the aid of information-poor theory, a new concept, quality-achieving reliability, is proposed, and a corresponding evaluation model is structured to calculate the probability of achieving product quality as a function of the influence factors. Using the decomposition and composition method, quality classifications of the product evaluation indicator and its influence factors are produced to extract the cumulative distribution of the product quality and its elements. Using the grey relational grade method, a weight analysis of the impacts of the influence factors on the product quality is performed to obtain the status composite values of the influence factors. Under the condition of poor information and relying on the status composite values based on the cumulative distribution, a quality-achieving reliability function is established to reflect the quality assurance capability and quality control level of the product and its elements. An experimental investigation of the vibration acceleration of tapered roller bearings demonstrates the application of the proposed model.

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A Spacecraft Launch Organizational Reliability Model Based on CSF

Cited by 3 publications

References 17 publications

Quality-Achieving Reliability Assessment of Rolling Bearing Based on Bootstrap Maximum Entropy Method and Similarity Method

Quality-Achieving Reliability Assessment of Rolling Bearing Based on Bootstrap Maximum Entropy Method and Similarity Method

Integrated System Health Management-based Fuzzy On-board Condition Prediction for Manned Spacecraft Avionics

An Assessment of the Quality-Achieving Reliability of Mechanical Products Based on Information-Poor Theory

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