Fault analysis and reliability assessment of automobile clutches based on Bayes

With the rapid development of automobile industry, the clutch fault has become an important factor. Therefore, how to effectively carry out failure analysis and reliability evaluation is of important practical significance. This paper analyzes the failure of automobile clutch.First, this study made a comprehensive analysis of the reliability and failure mode of the clutch, identifying the main causes and influencing factors of failure. Second, this study constructed a lifetime distribution model based on Bayes estimates that accurately estimated the parameters of the model through empirical data. This model can effectively reflect the life distribution of the clutch and improve the accuracy of fault prediction. Finally, this study calculated reliability indicators, such as reliability, inefficiency and average life, which provides a scientific basis for clutch maintenance and management.This study not only provides new ideas and methods for solving the failure problem of automobile clutch, but also provides a reference for the failure analysis and reliability evaluation of other mechanical equipment.

Publication Details

Journal
Deep Learning and Pattern Recognition
Published
2024-12-03
DOI
https://doi.org/10.71080/dlpr.v1i1.62
Primary Topic
Industrial Technology and Control Systems
Type
article
Field-Weighted Citation Impact
0.00
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Fault analysis and reliability assessment of automobile clutches based on Bayes

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Deep Learning and Pattern Recognition
Industrial Technology and Control Systems
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Fault analysis and reliability assessment of automobile clutches based on Bayes

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Abstract

With the rapid development of automobile industry, the clutch fault has become an important factor. Therefore, how to effectively carry out failure analysis and reliability evaluation is of important practical significance. This paper analyzes the failure of automobile clutch.First, this study made a comprehensive analysis of the reliability and failure mode of the clutch, identifying the main causes and influencing factors of failure. Second, this study constructed a lifetime distribution model based on Bayes estimates that accurately estimated the parameters of the model through empirical data. This model can effectively reflect the life distribution of the clutch and improve the accuracy of fault prediction. Finally, this study calculated reliability indicators, such as reliability, inefficiency and average life, which provides a scientific basis for clutch maintenance and management.This study not only provides new ideas and methods for solving the failure problem of automobile clutch, but also provides a reference for the failure analysis and reliability evaluation of other mechanical equipment.

Deep Learning and Pattern RecognitionVol. 1(1)
Openalex Percentile: Top 72%
Industrial Technology and Control Systems
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