Recent advances of AI for engineering service and maintenance.

In the context of Industry 4.0, the development of intelligent manufacturing gave birth to a new generation of industrial systems which is expected to be operative under a high level of functionality, reliability, and resilience, to meet the high-quality engineering service and maintenance demands from the systems operators and end-users. Furthermore, experiments are conducted on a public wafer yield prediction dataset collected from an actual wafer manufacturer. The paper by Lu et al. entitled "Fault diagnosis of the industrial robot based on dual-module attention convolutional neural network" investigates a data-driven method for the fault diagnosis of industrial robot reducers, that is, a dual-module attention convolutional neural network (DMA-CNN). [Extracted from the article]