Reliability Evaluation Method of Space Traveling Wave Tube Based on Multi-source Data Fusion
A traveling wave tube and reliability technology, applied in the field of space traveling wave tube reliability assessment based on multi-source data fusion, can solve the problems of short test time, limited number of failures, and many processes and parts.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Publication Date
- 2022-05-27
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Abstract
Description
technical field
[0001] The invention relates to the field of evaluating the reliability of a spacecraft stand-alone product by using multi-source data, in particular to a method for evaluating the reliability of a space traveling wave tube based on multi-source data fusion. Background technique
[0002] The space traveling wave tube is the key component of the spaceborne transponder and the spaceborne synthetic aperture radar transmitter. Its function is mainly to realize the amplification of microwave power, and its reliability is very important for the stable operation of the whole satellite system. Due to the complex structure of the traveling wave tube, many processes and components are involved, and the price is high, it is a small sample product.
[0003] The reliability evaluation results obtained by traditional statistical methods are mostly based on the failure time, and use a large number of life tests or accelerated life tests to obtain product failure data, and t...
Examples
Embodiment Construction
[0019] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.
[0020] The invention discloses a reliability evaluation method for a space traveling wave tube, comprising the following steps:
[0021] S1. Process the collected data and extract features;
[0022] S2, according to the result obtained in step S1, calculate the edge probability of the bottom input node of the established Bayesian network model;
[0023] S3, according to the edge probability of the bottom input node obtained in step S2, calculate the edge probability of the input nodes of other layers of the Bayesian network model;
[0024] S4. Calculate the reliability point estimation result of the traveling wave tube according to the calculation result obtained in step S3 and the Bayesian network m...