Failures detection and cascading analysis of manufacturing services collaboration toward industrial internet platforms

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.