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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

Active Publication Date: 2018-12-25
BEIHANG UNIV
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Problems solved by technology

This modeling method has a certain degree of subjectivity in the assumption of the distribution of degradation, and sometimes it is difficult to determine the specific distribution type of the degradation in engineering applications

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

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Embodiment Construction

[0046] The present invention proposes an accelerated degradation data analysis method based on quantile regression and degradation distribution, the flow chart of which is attached figure 1 shown.

[0047] Taking the accelerated degradation test of a solid-state laser as an example, the present invention will be further described in detail.

[0048] According to the failure data statistics, the failure of solid-state lasers is mainly related to the laser diode, and the main factor affecting the laser diode is the input power. Therefore, the accelerated degradation test is carried out on the solid-state laser with the input power as the accelerated stress. The input power S of the solid-state laser under normal working stress 0 = 300W, in the accelerated degradation test, set 3 accelerated stress levels, namely S 1 =350W,S 2 =400W,S 3 =450W, 5 samples are set under each stress level. During the test, the output power P of the solid-state laser was measured every 10 hours, ...

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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.

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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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCG06F30/20
Inventor 杨军史晓
Owner BEIHANG UNIV
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