Method for reliability model and analysis of multi-phase mission system

An analysis method and reliability technology, which are applied in the field of reliability modeling and analysis of multi-stage mission systems, and can solve problems such as time-consuming algorithms, low computational efficiency, and unsuitability for large-scale sparse matrix solutions.

An analysis method and reliability technology, which are applied in the field of reliability modeling and analysis of multi-stage mission systems, and can solve problems such as time-consuming algorithms, low computational efficiency, and unsuitability for large-scale sparse matrix solutions.

CN109063264APending Publication Date: 2018-12-21LOGISTICAL ENGINEERING UNIVERSITY OF PLA
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  • Method for reliability model and analysis of multi-phase mission system
  • Method for reliability model and analysis of multi-phase mission system
  • Method for reliability model and analysis of multi-phase mission system

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Embodiment Construction

[0088] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0089] The application principle of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0090] Such as figure 1 As shown, the multi-stage task system reliability modeling and analysis method provided by the embodiment of the present invention includes the following steps:

[0091] Step 1. Generate the reliability model of the multi-stage task system based on the continuous time Markov chain. For the continuous time Markov chain, v i is the transition rate of the system in state i, and calculate the solution of the Markov model step by step, so as to determine the worki...

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Abstract

The invention belongs to the technical field of system reliability. A reliability modeling and analysis method for multi-phase mission system is disclosed. Based on continuous-time Markov chain, a single-phase reliability model of multi-phase mission system is generated and solved. The reliability of the last phase is the reliability of the whole mission. The sparse matrix compression storage method is used to preprocess the single-stage Markov model. The generated Markov reliability model is solved based on the Krylov subspace computation method. By using the state mapping mechanism between stages, the single-stage model can be solved step by step. The idea of phase-by-phase modeling is adopted to avoid the problem of large scale caused by unified modeling. At that same time, compress storage based on sparse matrix and Krylov subspace method can effectively improve the spatial storage efficiency and computational efficiency of the model.

Description

technical field [0001] The invention belongs to the technical field of system reliability, and in particular relates to a multi-stage task system reliability modeling and analysis method. Background technique [0002] As modern systems become more and more complex and intelligent, the operation of the system is no longer a single process, but includes the transformation of multiple functional processes, or the process of forming a new system by reorganizing units at different stages. Taking the flight mission of a space vehicle as an example, it includes stages of takeoff, ascent, flight, landing, and landing. Each stage has different system configurations, mission success or failure criteria, and unit failure parameters. The above-mentioned system including multiple mission phases, and the system configuration and unit parameters change with the phases is a phased-mission system (phased-mission system, PMS). PMS is a common system in practical engineering applications, suc...

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Application Information

Patent Timeline
21 Dec 2018
Publication
CN109063264A
IPC
G06F17/50
CPC
G06F2111/10; G06F30/15; G06F30/20
Inventors
闫华; 高黎