Motor Current Signature Analysis

This Model Context Protocol (MCP) server transforms any Large Language Model (LLM) into an expert in predictive maintenance for electric motors. Utilizing Motor Current Signature Analysis (MCSA), it conducts non-invasive spectral analysis and fault detection by examining stator-current signals. By integrating Fast Fourier Transform (FFT) and envelope analysis, the system can automatically identify mechanical and electrical anomalies in motors, making expert diagnostics accessible through natural language interfaces and enabling both interactive analysis and automated condition-monitoring pipelines.

Key Features

Use Cases