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A method of task allocation for collaborative diagnosis

机译:一种协同诊断任务分配方法

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In the domain of collaborative diagnosis which joined with multi-resource, on account of equipment's complexity and diagnosis resource's heterogeneous, diagnosis task allocation should be self-adaptive. This requirement can be satisfied with an static and dynamic integrated task allocation method, in the static allocation method, diagnosis task relation model was established with equipment's qualitative model and fuzzy relation matrix, diagnosis path planning was realized by improving D-algorithm, and multi-constraint integer programming was used to resource allocation; In the dynamic method, an extended contract net method was introduced, which based on utility and negotiation. Then, the validity of this method has been validated within an engineering equipment fault diagnosis instance. The conclusion summarizes this method and points out its further development.
机译:在结合多资源的协同诊断领域,由于设备的复杂性和诊断资源的异质性,诊断任务的分配应该是自适应的。通过静态和动态的集成任务分配方法可以满足此要求,在静态分配方法中,使用设备的定性模型和模糊关系矩阵建立诊断任务关系模型,通过改进D算法实现诊断路径规划,并通过多任务约束整数规划用于资源分配。在动态方法中,引入了一种基于效用和协商的扩展合同网方法。然后,在工程设备故障诊断实例中验证了该方法的有效性。结论总结了这种方法,并指出了其进一步的发展。

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