A method of searching fault propagation paths in mechatronic systems based on MPPS model

In view of the structure and action behavior of mechatronic systems, a method of searching fault propagation paths called maximum-probability path search (MPPS) is proposed, aiming to determine all possible failure propagation paths with their lengths if faults occur. First, the physical structure system, function behavior, and complex network theory are integrated to define a system structural-action network (SSAN). Second, based on the concept of SSAN, two properties of nodes and edges, i.e., the topological property and reliability property, are combined to define the failure propagation property. Third, the proposed MPPS model provides all fault propagation paths and possible failure rates of nodes on these paths. Finally, numerical experiments have been implemented to show the accuracy and advancement compared with the methods of Function Space Iteration (FSI) and the algorithm of Ant Colony Optimization (ACO).摘要为确定机电系统发生故障时所有可能的故障传播路径及其长度, 本文考虑机电系统的结构和行为, 提出了最大概率路径搜索(MPPS)模型。 首先, 基于系统的物理结构、 功能行为和复杂网络理论, 定义了系统结构-行为网络(SSAN)。 然后在 SSAN 概念的基础上, 将网络中节点和边的拓扑属性和可靠性属性进行融合, 定义 SSAN 中节点和边的故障传播属性。 其次, 结合本文提出的 MPPS 模型, 对网络中所有的故障传播路径以及路径上的节点可能失效率进行计算。 最后, 将本文提出的 MPPS 模型和函数空间迭代法 (FSI) 以及蚁群算法 (ACO) 进行对比分析, 从而验证 MPPS 模型的准确性和先进性。