🐣Getting Started with copilot for Vibration Analysis

co-pilot for vibration analysis is designed to provide advanced diagnostic capabilities for vibration analysis. Here's a quick guide to help you get started:

Steps to Get Started

  1. Collect Vibration Data: Gather the necessary vibration data from your machinery using appropriate sensors and tools.

  2. Provide Machine Details: Include comprehensive information about the machine, such as its model, operating conditions, and any known issues.

  3. Input Data into spiderAI™: Enter the collected data into spiderAI™ for analysis.

  4. Receive Analysis and Recommendations: Let spiderAI™ process the data and provide detailed diagnostic reports and actionable recommendations.

By following these steps, you can leverage the power of spiderAI™ to enhance your vibration analysis processes, ensuring more accurate and efficient maintenance operations.

Supported Vibration Analysis Types

spiderAI™ currently supports in-house knowledge base for the following types of vibration analysis:

  1. FFT Spectrum Observations

    • Description: Analyzes frequency domain data to identify specific vibration frequencies and their amplitudes.

  2. Phase Analysis Observations

    • Description: Examines phase angle data to provide insights into the relationship between different vibration sources.

Additional Observations

While spiderAI™ primarily focuses on FFT Spectrum and Phase Analysis, users can also provide additional observations but not limited to :

  • Time Waveform Analysis

  • Envelope Analysis

  • Cepstrum Analysis

  • Order Tracking Analysis

  • Modal Analysis

  • Resonance Testing

Note: Incorporating these additional analyses comes with some uncertainty due to the inherent limitations of LLMs. However, we continuously update our knowledge base to support a wider range of vibration analysis techniques.

Providing Detailed Machine Information

In addition to vibration analysis observations, it is crucial to provide detailed information about the machine being analyzed. This helps spiderAI™ understand the context and characteristics of the machine, leading to more accurate diagnostics and recommendations.


Start your journey with SpiderAI™ today and experience the future of industrial intelligence and diagnostics.


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