envelope-analysis

An open-source MCP server that turns LLMs into condition monitoring assistants for reliability engineers. It gives your AI assistant evidence-based vibration diagnostics: machine fault detection, severity assessment and diagnostic reports, for faster predictive maintenance decisions. Also available as a Claude Code plugin.

Speed-invariant federated bearing fault diagnosis without a tachometer: speed differences between machines are a single frequency dilation, not arbitrary domain shift. Log-frequency envelope spectra, CWRU and JNU benchmarks. Reproducible code.

Diagnose car vibration and road-speed hum with a smartphone. Order analysis, envelope demodulation and engine-lock testing on raw accelerometer data — no industrial sensor required. Tested on Audi Q7 air suspension; works on any vehicle.

Edge AI predictive maintenance for a five-axis machining cell: digital twin, envelope bearing diagnostics, unsupervised detection, fault forecasting, operator-approved corrective control, OPC UA bridge and an offline HMI.

Physics-guided machine condition monitoring system using vibration signal analysis, FFT, envelope analysis, bearing kinematics, anomaly detection, and health trend monitoring.

Bearing vibration diagnostics: signal-processing checks, CWRU method validation and NASA IMS run-to-failure detection with transfer-test limitations.