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Edge Computing Leveraging MTConnect and Artificial Intelligence for Prognostics and Health Management (PHM) of Manufacturing Assets

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Prognostics and Health Management (PHM) of manufacturing assets is leveraging advanced monitoring and analytics to characterize and predict the condition of equipment and processes. PHM technologies enable real-time optimization of maintenance tasks and manufacturing processes, and increase of overall equipment effectiveness (OEE), while avoiding disruption of operations. For over a decade, TechSolve has been involved with identification, evaluation, development, validation, demonstration and dissemination of PHM technologies that would benefit not only the large organizations but also the small and medium size manufacturers (SMMs). As part of the continuing efforts to identify and develop more robust and easier to deploy solutions for SMMs, TechSolve has applied for and was awarded a CESMII Application Project. The project’s goal is to explore the possibility of using the MTConnect and OPC UA standards, edge computing, and artificial intelligence (AI) to develop a PHM system that could easily be deployed using CESMII’s Smart Manufacturing Innovation Platform (SMIP). The project is being conducted in TechSolve’s Machining Lab, which emulates the shop floor of an SMM, with CNC machine tools and associated equipment. The PHM system will focus on collecting and analyzing vibration, electrical current/power, and temperature signals to assess the condition and remaining useful life for elements of a spindle assembly – such as bearings or cutting tools. If successful, the proposed approach will be applicable to a wide range of applications from multiple industries, enabling improvements in energy efficiency, productivity, and quality.
  • Radu Pavel
    Vice President, Chief Technology Officer
    Tech Solve