{"id":3591,"date":"2026-03-25T11:13:18","date_gmt":"2026-03-25T10:13:18","guid":{"rendered":"https:\/\/neuraldesigner.com\/solution\/virtual-sensing\/"},"modified":"2026-04-15T11:38:58","modified_gmt":"2026-04-15T09:38:58","slug":"virtual-sensing","status":"publish","type":"solution","link":"https:\/\/www.neuraldesigner.com\/solutions\/virtual-sensing\/","title":{"rendered":"Building virtual sensors using machine learning"},"content":{"rendered":"\t\t
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Virtual sensing techniques are helpful to provide economic and feasible alternatives to impractical or costly physical measurements.<\/span><\/p>

We can implement a virtual sensor by creating a machine learning model. This model extracts information from other measurements and estimates the quantity of interest.<\/p>

This approach promises cost savings because the company virtually performs physical, costly tasks.<\/p><\/section>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t

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Contents:<\/b><\/p>

  1. Objectives<\/a>.<\/li>
  2. Benefits<\/a>.<\/li>
  3. Approach<\/a>.<\/li>
  4. Conclusions<\/a>.<\/li><\/ol>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t
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    \u00a0<\/p><\/section>

    <\/p>

    Objectives<\/h2>

    Virtual sensing tries to model our target variable, so it is unnecessary to measure it physically.<\/p>

    <\/p>

    The challenge is to get the correct variables for our model to predict the quantity of interest.<\/p><\/section>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t

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    Benefits<\/h2><\/section>

    It allows obtaining measures by using a machine learning model, reducing costs and work hours, as these measures must usually be obtained in a laboratory.<\/p>

    <\/p>

    REDUCE COSTS<\/h3><\/div><\/td>

    <\/p>

    SAVE TIME<\/h3><\/div><\/td><\/tr><\/tbody><\/table><\/section>

    <\/p>

    Approach<\/h2>

    Virtual sensing is to create an approximation model that takes in some input variables related to our target and estimates the latter.<\/p>

    Neural networks can model the correct values of the target variable, so we don’t need to take physical measures.<\/p>

    <\/p>

    That allows saving costs and time on measure’s obtention<\/p><\/section>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t

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    Conclusions<\/h2><\/section>

    Virtual sensing saves companies money and time since measure taking becomes a software issue, improving planning and decision making.<\/p>

    Neural Designer<\/a> uses machine learning to build predictive models that represent a broad range of variables associated with virtual sensing.<\/p><\/section>

    Related posts:<\/h2>