Accelerated degradation data analysis method based on quantile regression and degeneracy distribution

A quantile regression and data analysis technology, which is applied in electrical digital data processing, special data processing applications, design optimization/simulation, etc. Easy to master the use, principles and easy-to-understand effects
CN109086509AActive Publication Date: 2018-12-25BEIHANG UNIV

Patent Information

Authority / Receiving Office
CN ยท China
Patent Type
Applications(China)
Current Assignee / Owner
BEIHANG UNIV
Publication Date
2018-12-25

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Abstract

The invention provides an accelerated degradation data analysis method based on quantile regression and degradation amount distribution, which comprises the following steps: 1. collecting accelerateddegradation test data; 2, quantile regression modeling of degenerate trajectory; 3, accelerating the parameter estimation of the model; 4. extrapolation of normal stress degradation trajectory. Through the above steps, from the point of view of accelerated degradation data analysis based on the distribution of degradation quantity, a method of accelerated degradation data analysis based on quantile regression and the distribution of degradation quantity is proposed to solve the different quantile degradation trajectories of product degradation quantity under normal stress. The invention combines the acceleration model extrapolation to give the different quantile degradation trajectory of the degradation quantity of the product under the normal stress so as to have a more comprehensive explanation to the degradation quantity. The method and the calculation process provided by the invention are simple and easy to understand, easy to realize and convenient for engineering technicians to master and use.
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Description

technical field

[0001] The present invention proposes an accelerated degradation data analysis method based on quantile regression and degradation distribution, which involves a non-parametric method for modeling accelerated degradation data, which effectively avoids the need to judge when modeling from the perspective of degradation distribution The problem of the distribution model of the degradation amount at each measurement time, and can extrapolate several quantile curves of the degradation amount under normal stress, have a more comprehensive explanation of the degradation amount, and are suitable for related technical fields such as reliability assessment. Background technique

[0002] The core of accelerated degradation data analysis is to establish a reasonable performance degradation trajectory model and an accelerated model of related characteristic parameters. At present, modeling methods based on failure physics, degradation trajectory fitting, degradation quan...

Claims

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