# Vibrometer  - Data visualization

## Frequency-Amplitude Correlation Chart&#x20;

This scatterplot displays the correlation between Dominant Frequencies and the PPV (Peak Particle Velocity) of the recordings.&#x20;

{% hint style="info" %}
When the data spans a period longer than three days, aggregation is applied. In this case, the alarm threshold is hidden because the displayed data does not represent all sensor readings, including alarm events. To view all detected events, the time interval must be limited to three days or less.
{% endhint %}

<figure><img src="https://lh7-us.googleusercontent.com/tz3-syg-nP-41GtUuvY0d0GQZRqnXfGzdKia1vutRR2_CKCzsubiikpAHwJ3kI0hRKFN4Kg-Yu1RPC46lkkTkqGHXOK-AN68RVRQz_gwgfm_dHli1VJbqmv0hKCP3RLXjOHKhuCsmP-50qwmnBbut8A" alt=""><figcaption><p>Vibrometer - Correlation between Dominant Frequencies and PCPV of the acquisitions</p></figcaption></figure>

{% hint style="info" %}
When the displayed data falls within a period shorter than three days, the data is not aggregated, the set alarm threshold becomes visible, and events exceeding the threshold are highlighted in red.
{% endhint %}

<figure><img src="https://2601070869-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FGk0mQOwBMc98gG9hlKRS%2Fuploads%2Fj64SJ6BXiXiWHD8CCzJR%2FFrequency%20amplitude%20vibrometer.png?alt=media&#x26;token=059cdc26-350b-4e4d-b002-27e006e09d98" alt=""><figcaption><p>Frequency-Amplitude correlation chart - Alarm threshold</p></figcaption></figure>

## PPV - Peak Particle Velocity

This chart shows the trend of the three-dimensional velocity calculated using the PPV on the three axes. The PPV represents the maximum of the velocity vector magnitude recorded during the considered time interval, calculated simultaneously for the three components (x, y, z).

<figure><img src="https://lh7-us.googleusercontent.com/Jp9q09KZXj4ADYGFd_WWuTU_Rule4pUpFj5bihrprBLlZe6GsLAfZl6ScGjxrlnoVbwwJpDf4yrxOn3HH-raE7QyPsbJH5ql5aCMneeRcvpybUnDy-5ZNWNhQA092gZiIv4UVZRtcbwQ1-ib3LdzWWU" alt=""><figcaption><p>Vibrometer - Trend of the three-dimensional velocity calculated using PCPV on the three axes</p></figcaption></figure>

## FFT Dominant Frequencies&#x20;

This chart displays the dominant frequencies on three axes, corresponding to the peaks of the maximum amplitude spectrum.

<figure><img src="https://lh7-us.googleusercontent.com/lSpQ2paFiVSlClhcn6xuQoF-Jj8mHBfnUGQlK8OFHJ055wiLiZ2CNw9UMHqmJhdoGjY_JOzk8PLqancv6FuGIEimWb_CwZ9dZ3z3OjR6Xc-nrW5d2DCBHmVxdcd2mER8rPXighTYTUlAeXQWgPwmhgQ" alt=""><figcaption><p>Vibrometer - Trend of the dominant frequency, on three axis</p></figcaption></figure>

## FFT Amplitude&#x20;

This chart represents the trend of the maximum FFT amplitude across three axes. The peak amplitude of the spectrum represents the maximum value of the FFT for each velocity vector component, calculated by windowing the velocity’s time evolution around the highest peak observed within the monitoring period.

<figure><img src="https://lh7-us.googleusercontent.com/j4kzpEX498o7PrFjR0NNlexIXF_pP17IL1BRS3UpaV-r3OnQ4-rmlKvEhO_OFqR2SDOoiso5zpJuilxbR2oh68DVvVGP_2a3R-EkSmoYUZPyh7xulHph1UZoRWFMcViG6nwQ4plg-44XydIOX8Dp_L8" alt=""><figcaption><p>Vibrometer - Trend of the maximum amplitude of the FFT, on three axis</p></figcaption></figure>

## Temperature

This chart displays the temperature trend recorded by the sensor over time.

<figure><img src="https://lh7-us.googleusercontent.com/xM0yhtt1L2oikGWHZcOtACPIvFmb4NamgxgC7V1-gs5QKTTTqdErCkhxf7B4pDSItUXgQvRbVUaC6p1GretRCFphfOvMV_L0ypOKJavpxhAOfr0HnU6ELmSQNUJQNSE6HT5RrIA4A26KKh22BiPsL0g" alt=""><figcaption><p>Vibrometer - Trend of the temperature</p></figcaption></figure>

***

## Learn more about other sensor data

<table data-view="cards"><thead><tr><th></th><th data-hidden data-card-cover data-type="files"></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td><strong>Accelerometer</strong></td><td><a href="https://2601070869-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FGk0mQOwBMc98gG9hlKRS%2Fuploads%2FZ2mTXVuESosdkBRcvLW8%2FTrends%20accelerometer.png?alt=media&#x26;token=a8cde074-bcc0-45c8-ac94-c25f329e5e61">Trends accelerometer.png</a></td><td><a href="accelerometer-data-visualization">accelerometer-data-visualization</a></td></tr><tr><td><strong>Dynamic Displacement Sensor</strong></td><td><a href="https://2601070869-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FGk0mQOwBMc98gG9hlKRS%2Fuploads%2F6N9C3YkD7tgGf9U5PUkn%2FData%20explorer%20DDS.png?alt=media&#x26;token=5a3b9e84-5d21-4e50-a9f5-2569afd95a49">Data explorer DDS.png</a></td><td><a href="dynamic-displacement-sensor-data-visualization">dynamic-displacement-sensor-data-visualization</a></td></tr><tr><td><strong>Tiltmeter</strong></td><td><a href="https://2601070869-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FGk0mQOwBMc98gG9hlKRS%2Fuploads%2FCYOi8BPIjvPdNUN0D9iM%2FData%20Explorer%20tiltmeter.png?alt=media&#x26;token=50b0b25a-2a7d-44cf-bbbe-e6f6185893ad">Data Explorer tiltmeter.png</a></td><td><a href="tiltmeter-data-visualization">tiltmeter-data-visualization</a></td></tr><tr><td><strong>Communication node</strong></td><td><a href="https://2601070869-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FGk0mQOwBMc98gG9hlKRS%2Fuploads%2FrrSHr5W9F8NSIYCZwm3v%2FData%20explorer%20node.png?alt=media&#x26;token=f407f55a-d7c3-41b2-80f5-cd468839beb5">Data explorer node.png</a></td><td><a href="communication-node-data">communication-node-data</a></td></tr></tbody></table>

<br>


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