Archivio Istituzionale della RicercaOpen-source reference architecture connecting industrial edge sensor hardware (STEVAL-STWINBX1 / STWIN.box) to LLM-based diagnostic assistants (Claude) via the Model Context Protocol (MCP). Includes MCP servers for sensor acquisition and vibration signal processing (FFT, envelope analysis, bearing fault detection, ISO 10816), plus Claude Skills for guided condition monitoring, fault diagnosis, and operator-friendly report generation.
LLM Edge Predictive Maintenance: Bridging Industrial IoT Sensors and Large Language Models for Predictive Maintenance / Di Maggio, Luigi Gianpio. - (2026). [10.5281/zenodo.18808856]
LLM Edge Predictive Maintenance: Bridging Industrial IoT Sensors and Large Language Models for Predictive Maintenance
Luigi Gianpio Di Maggio
2026
Abstract
Open-source reference architecture connecting industrial edge sensor hardware (STEVAL-STWINBX1 / STWIN.box) to LLM-based diagnostic assistants (Claude) via the Model Context Protocol (MCP). Includes MCP servers for sensor acquisition and vibration signal processing (FFT, envelope analysis, bearing fault detection, ISO 10816), plus Claude Skills for guided condition monitoring, fault diagnosis, and operator-friendly report generation.
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Utilizza questo identificativo per citare o creare un link a questo documento:
https://hdl.handle.net/11583/3008315