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中文摘要：
针对当前虚拟维修过程中模型庞大，维修流程不可反复，部件间关系描述混乱等问题，论文提出一种Petri网和语义网络结合的过程建模方法——TJ（Training Join）。TJ网上层利用语义网络对部件进行层次结构分解和资源规范聚类，实现子部件问逻辑互联；下层运用Petri网的变迁和触发规则提炼出Petri网元素模型，提高模型的通用性和建模效率。同时模型中的状态收集模块可实现部件属性状态间信息共享。最后，以虚拟维修平台中飞机电子设备架的维护为例，验证了TJ网的有效性。
英文摘要：
To address the problems of enormous maintenance process modeling, non-repeatability of maintenance procedure and complex relation in the current virtual maintenance process, Training Join net （TJ net）, a process modeling method combining Petri Net with Semantic Network, is presented. The upper of TJ net decomposes component structure logically and clusters resources formally according to the size of the components based on Semantic Network, and thus realizes logical connection of components. The lower part abstracts some improved element model based on Petri Net and the transition and fire rules of Pelri Net, and thus improves the model universality and the efficiency of modeling. And it achieves property state information sharing by the state-collection module., The TJ net has been validated by the instance of virtual maintenance of aircraft electronic equipment in the virtual maintenance platform.
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