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3DSMDA-Net: An improved 3DCNN with separable structure and multi-dimensional attention for welding status recognition
The vision-based welding status recognition (WSR) provides a basis for online welding quality control. Due to the severe arc and fume …
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A fusion-based spiking neural network approach for predicting collaboration request in human-robot collaboration
In human-robot collaborative (HRC) manufacturing systems, how the collaborative robots engage in the collaborative tasks and complete …
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A general fault diagnosis framework for rotating machinery and its flexible application example
When dealing with the fault diagnosis of different rotating machines (gear or bearing), different working conditions (such as rotating …
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An automatic method for constructing machining process knowledge base from knowledge graph
The process knowledge base is the key module in intelligent process design, it determines the intelligence degree of the design system …
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Dynamic inventory replenishment strategy for aerospace manufacturing supply chain: combining reinforcement learning and multi-agent simulation
The (I, R, S) policy is a well-known inventory replenishment strategy, where inventory is raised to an order-up-to-level S at the end …
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Establishing a reliable mechanism model of the digital twin machining system: An adaptive evaluation network approach
Digital twin technology can build virtual replicas of physical entities to observe, analyze, and control the machining process. The …
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Multi-Agent Reinforcement Learning for Real-Time Dynamic Production Scheduling in a Robot Assembly Cell
As industry rapidly shifts towards mass personalisation, the need for a decentralised multi-agent system capable of dynamic flexible …
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Outlook on human-centric manufacturing towards Industry 5.0
The recent shift to wellbeing, sustainability, and resilience under Industry 5.0 has prompted formal discussions that manufacturing …
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Semantic artificial intelligence for smart manufacturing automation
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Semantic-aware event link reasoning over industrial knowledge graph embedding time series data
The time series data in the manufacturing process reflects the sequential state of the manufacturing system, and the fusion of temporal …
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