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Complex system reliability evaluation method based on multiple agents

A complex system and multi-agent technology, applied in the general control system, control/regulation system, test/monitoring control system, etc., can solve problems such as difficulty in achieving ideal results in complex systems

Active Publication Date: 2018-12-11
BEIHANG UNIV
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Existing reliability modeling and evaluation methods are difficult to achieve ideal results for complex systems with multi-factor coordination and self-healing characteristics, so it is particularly important to find an effective reliability evaluation method for complex systems

Method used

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  • Complex system reliability evaluation method based on multiple agents
  • Complex system reliability evaluation method based on multiple agents
  • Complex system reliability evaluation method based on multiple agents

Examples

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example 1

[0027] Example 1: A carrier-based aviation support system (referred to as the aviation support system), its main function is to complete the parking, transfer, maintenance, support, take-off and landing of carrier-based aircraft on the aircraft carrier according to the mission requirements of the carrier-based aircraft fleet. After the failure of the aviation maintenance system facilities, the system will automatically repair the faulty facilities.

[0028] The elements of the aviation maintenance system are abstracted, and the results are shown in Table 1.

[0029] Table 1 Abstract of elements of aviation maintenance system

[0030]

[0031] Step 2: Build a hybrid hierarchy-based Agent interaction structure

[0032] Based on the hybrid hierarchical method, a two-stage Agent interaction structure of centralized master control collaboration and distributed local collaboration is constructed. Three types of management agents, namely decision-making, information collection a...

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Abstract

The invention discloses a complex system reliability evaluation method based on multiple agents. The method comprises the following steps: 1, elements of the Agent-based complex system are abstracted,and according to the composition of the complex system, the elements are abstracted to three kinds of Agents: a management kind, a system kind and a guarantee kind; 2, a hybrid hierarchy-based Agentinteraction structure is built, the hybrid hierarchy structure is adopted, and the interaction structure with centralized main control coordination and distributed local coordination is built; 3, element function behaviors are modeled, and according to functions of the Agents and an interaction rule, a life state diagram of the Agents is built; 4, element fault behaviors are modeled, a unit-levelRBD model for the Agents is built, and the fault time for unit random sampling is used as fault clock stock; 5, a system recovery behavior is modeled, system reconfiguration and maintenance are carried out according to a damage degree, a maintenance success rate is set, and the maintenance time is acquired through sampling; and 6, a complex system reliability evaluation mechanism is built, Monte Carlo simulation based on a complex system Agent model is carried out, and the complex system reliability is solved according to Rs=ns / n.

Description

Technical field [0001] The invention provides a multi-agent-based complex system reliability assessment method, in particular to a multi-agent-based reliability assessment method that supports the description of complex system execution of normal functions, internal faults, and self-repair behaviors, which belongs to reliable field of sex engineering. Background technique [0002] A complex system refers to a system with a large number of interactive elements, complex and uncertain internal relationships, and nonlinear overall behavior. The components of a complex system can continuously join or leave the entire organization during the execution of tasks, and autonomously provide beneficial functions or services. At the same time, all elements are combined, through a large number of associations, interactions and collaborations, to show capabilities that exceed their respective performances . Its tasks include the adaptive control process of normal operation and emergency ...

Claims

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Application Information

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IPC IPC(8): G05B23/02
CPCG05B23/0243G05B2219/24065
Inventor 冯强陈义达任羿孙博杨德真
Owner BEIHANG UNIV
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