Abstract Industrial Internet or industrial cloud platforms based manufacturing collaboration in the form of services, namely manufacturing services collaboration (MSC), is being the new generation of networked manufacturing mode. In the process of MSC, a lot of failures would occur due to different reasons, and then propagate to cause other parts of failures. However, the classification of failures in MSC is unclear, the occurrence and propagation of failures are difficult to detect, and the control strategies for the failures and their corresponding propagation is insufficient, which lead to the lower users’ collaboration participation in the platforms. In order to solve the above problems, the failures detection, failures cascading propagation analysis and specific control strategies for the platform-based MSC are investigated in this study. Firstly, the model of manufacturing services collaboration network (MSC-Net) is established by introducing the collaborative relations aware community of complex network. Then six types of failures occurred in MSC-Net are defined, corresponding detection methods for the defined failures are presented. The specific cascading propagation characteristics of different failures are revealed. The control strategies for different failures as well as their cascading propagation in MSC-Net are proposed. Finally, a 3D Printing case is given to illustrate the feasibility of the proposed methods.

中文翻译：

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面向工业互联网平台的制造服务协作故障检测与级联分析

摘要 基于工业互联网或工业云平台的服务形式的制造协作，即制造服务协作（MSC），正在成为新一代的网络化制造模式。在MSC的过程中，会因为不同的原因发生很多故障，然后传播到其他部分造成故障。然而，MSC中故障的分类不明确，故障的发生和传播难以检测，对故障及其相应传播的控制策略不足，导致用户在平台中的协作参与度较低。为了解决上述问题，本研究对基于平台的MSC的故障检测、故障级联传播分析和具体控制策略进行了研究。首先，通过引入复杂网络的协作关系感知社区，建立制造服务协作网络（MSC-Net）模型。然后定义了MSC-Net中发生的六类故障，并给出了对所定义故障的相应检测方法。揭示了不同故障的特定级联传播特性。提出了针对不同故障的控制策略及其在 MSC-Net 中的级联传播。最后，给出了一个 3D 打印案例来说明所提出方法的可行性。给出了定义故障的相应检测方法。揭示了不同故障的特定级联传播特性。提出了针对不同故障的控制策略及其在 MSC-Net 中的级联传播。最后，给出了一个 3D 打印案例来说明所提出方法的可行性。给出了定义故障的相应检测方法。揭示了不同故障的特定级联传播特性。提出了针对不同故障的控制策略及其在 MSC-Net 中的级联传播。最后，给出了一个 3D 打印案例来说明所提出方法的可行性。