Abstract
Intelligent Manufacturing Systems require fault-tolerant components capable of preventing and detecting failures, and optimizing their own performance. Although there are a number of process monitoring and control systems (PMCS) available for these tasks, most of them require special equipment that increases cost and setup time. This work proposes a standard software architecture and methodology for implementing a sensorless PMCS which separates data representation from its algorithmic processing. Two different case studies are introduced showing the feasibility and applicability of the proposed design, one for cycle time optimization and another one for online tool condition detection. A good performance was obtained in both case studies based on the proposed PMCS architecture, which can be implemented using different distributed software technologies.
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