• DATA
  • SIGNAL
  • REPORT
  • HUMAN

How to detect vibration frequency patterns with your AI

Connect your sensor data to your agent to isolate specific frequencies from raw noise. Your AI handles the math to find the signals that matter.

Ask AI about this page

Short answer

How can I find vibration frequencies using my AI?

You pass raw time-series sensor data to your agent, which then converts it into the frequency domain. This reveals the dominant periodic signals in your machinery. You'll get a clear view of the frequency peaks and their magnitudes.

The results you get.

What your analysis produces.

The AI converts raw waves into actionable frequency data.

DATA

Frequency spectrums

The AI converts time-series noise into a list of dominant frequencies. You get the exact points where energy is concentrated.

SIGNAL

Peak identification

Your agent identifies the specific magnitudes of periodic signals. This helps you distinguish between normal operation and mechanical faults.

REPORT

Pattern summaries

The AI summarizes the spectral density. You receive a plain-language description of the most significant rhythmic patterns found.

HUMAN

Manual inspection

The AI flags anomalies for you. You decide if a specific frequency spike requires a physical maintenance check on the machine.

The workflow

What your AI does when the data arrives.

The AI moves from raw numbers to identified mechanical signatures.

  1. Ingest sensor data

    Your agent reads the raw time-series values from your provided data source.

    calculate_fft

  2. Transform the signal

    The AI performs the mathematical conversion from the time domain to the frequency domain.

    calculate_fft

  3. Isolate peaks

    The agent scans the resulting spectrum to find the highest energy concentrations.

    calculate_fft

  4. Interpret results

    The AI translates the frequency peaks into a summary of the machine's vibration profile.

    calculate_fft

Try it

Copy these to start.

Use these prompts to begin your analysis.

Starting points

Replace the bracketed text with your actual file paths or sensor IDs.

fft.js Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_OgVdcAJ5c4akzqqyOKLcs4VoR2ziukAMExZvS9jD/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — fft.js capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "fourier-transform-engine-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_OgVdcAJ5c4akzqqyOKLcs4VoR2ziukAMExZvS9jD/mcp"
    }
  }
}
Copy into chat04

  • Analyze the vibration data in sensor_log_01.csv and tell me the dominant frequencies.

  • Run a Fourier transform on the time-series data from the main turbine sensor.

  • Identify any abnormal frequency spikes in the latest telemetry file.

  • Compare the frequency patterns in the current dataset against the baseline file.

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Start here

Connect Fourier Transform Engine once, then ask.

One connection gives your agent access to the math tools it needs. Everything is hosted and ready to run immediately.

Connect Fourier Transform Engine to your AI

FAQ

How this task behaves.

  • 01

    Can the AI fix the vibration issue?

    No. The AI only identifies and describes the frequency patterns. You must perform the physical repairs.

  • 02

    Does the AI clean my raw sensor data before processing?

    No. The AI performs the Fourier transform on the data you provide. You should ensure your data is formatted correctly first.

  • 03

    Can I upload CSV files for analysis?

    Yes. You can provide time-series data in standard formats like CSV for the agent to process.

  • 04

    Will the AI automatically trigger an alarm if it sees a spike?

    No. The AI identifies the spikes in the data, but it does not have the capability to send external alerts or trigger hardware alarms.

  • 05

    Can the AI predict future vibrations?

    No. The tool is designed to analyze existing time-series data to find current frequency patterns, not to run predictive modeling.

  • More questions about Fourier Transform Engine? The Connector page answers them. See everything the Fourier Transform Engine Connector can do

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