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Satellite fault modeling method using Hough transformation and Weibull distribution

A satellite failure and modeling method technology, applied in character and pattern recognition, instruments, electrical digital data processing, etc., to achieve the effect of improving the fitting accuracy

Pending Publication Date: 2022-04-15
WEIFANG UNIV OF SCI & TECH
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Problems solved by technology

[0004] In order to improve the parameter estimation accuracy of satellite fault Weibull distribution, it is necessary to solve the problem of accurate identification of satellite fault cycle

Method used

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  • Satellite fault modeling method using Hough transformation and Weibull distribution
  • Satellite fault modeling method using Hough transformation and Weibull distribution
  • Satellite fault modeling method using Hough transformation and Weibull distribution

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Embodiment 1

[0031] Adopt modeling method step of the present invention to be:

[0032] Step 1: Use the Hough transform line detection algorithm to identify the failure cycle of the linearized satellite failure rate data, and initially identify the satellite failure rate data in the early failure period and the satellite failure rate data in the occasional failure period. The results are as follows: figure 1 shown;

[0033] Step 2: For the satellite failure rate data in the early failure period and the satellite failure rate data in the accidental failure period obtained after Hough transform detection, respectively establish Weibull distribution and estimate its shape parameters and scale parameters, among them, the parameter estimation results of Weibull distribution in the early failure period For: β 1 =0.1930,η 1 =10634616.0314, the parameter estimation result of Weibull distribution in the accidental failure period is: β 2 =1,η 2 =153.8461;

[0034] Step 3: According to the Weibu...

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Abstract

The invention discloses a satellite fault modeling method using Hough transformation and Weibull distribution, and belongs to the field of satellite fault rate prediction in reliability evaluation. The method is characterized by comprising the following steps: firstly, performing fault period identification on linearized satellite fault rate data by using a Hough transformation straight line detection algorithm, and preliminarily identifying an early fault period and an accidental fault period of satellite fault distribution; then, Weibull distribution is established for early fault period satellite fault rate data and accidental fault period satellite fault rate data obtained after Hough transformation detection, and shape parameters and scale parameters of the Weibull distribution are estimated; and finally, according to the Weibull distribution fault rate function of the early fault period and the Weibull distribution fault rate function of the accidental fault period, an accurate fault period demarcation point of the early fault period and the accidental fault period is calculated, and a double Weibull segmentation model of satellite fault distribution is obtained.

Description

technical field [0001] The invention belongs to the field of satellite failure rate prediction in reliability evaluation, in particular to a satellite failure modeling method using Hough transformation and Weibull distribution. Background technique [0002] With the rapid development of aerospace technology, the number of satellites in orbit is gradually increasing, and they are widely used in various fields such as positioning and navigation, remote sensing, military reconnaissance, and communication. The reliability of on-orbit operation is an important guarantee for the safe and stable operation of satellites. Once a satellite fails, it will affect the normal service function of the satellite, and cause catastrophic accidents and huge economic losses. In order to improve the reliability and safety of satellite in-orbit operation and ensure the availability and continuity of satellite services, it is necessary to further study the statistical distribution of satellite fail...

Claims

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Application Information

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IPC IPC(8): G06F30/15G06F30/20G06V10/48G06F119/02
Inventor 王晶晶
Owner WEIFANG UNIV OF SCI & TECH