
A Proof of Concept Model Context Protocol server demonstrating how Large Language Models like Claude can be empowered with industrial machinery diagnostics capabilities. Features real vibration data (15 bearing fault signals), FFT spectrum analysis, envelope analysis for bearing faults, ISO 20816-3 compliance checks, ML anomaly detection with semi-supervised learning, and interactive HTML reports. Demonstrates the feasibility of natural language interfaces for complex industrial diagnostics workflows.
If you use this software, please cite it as below.
industrial-iot, predictive-maintenance, fault-diagnosis, FFT-analysis, envelope-analysis, vibration-analysis, machine-learning, model-context-protocol, ISO-20816, mcp-server, claude-agents, fastmcp, iiot, asset-management, iso10816, machine-failure, condition-monitoring, claude-ai, signal-processing, predictive-analytics, industry-4-0, bearing-fault-diagnosis, industry-4.0, anomaly-detection
industrial-iot, predictive-maintenance, fault-diagnosis, FFT-analysis, envelope-analysis, vibration-analysis, machine-learning, model-context-protocol, ISO-20816, mcp-server, claude-agents, fastmcp, iiot, asset-management, iso10816, machine-failure, condition-monitoring, claude-ai, signal-processing, predictive-analytics, industry-4-0, bearing-fault-diagnosis, industry-4.0, anomaly-detection
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