Motor Current Signature Analysis Server

Example Use Cases

• 1

  Perform predictive maintenance and fault detection on electric motors using stator current signals.

• 2

  Integrate motor diagnostic workflows into MCP-compatible AI assistants for interactive or automated analysis.

• 3

  Generate synthetic motor current signals with configurable faults for testing and benchmarking.

Description

This MCP server enables advanced motor condition monitoring by analyzing the harmonic content of stator current signals to detect mechanical and electrical faults such as broken rotor bars, eccentricity, stator faults, and bearing defects. It supports real signal loading, signal preprocessing, spectral and envelope analysis, and automated fault severity classification. The server integrates with MCP-compatible AI assistants to provide interactive expert diagnostics and automated condition-monitoring pipelines without requiring physical access or downtime.