{"id":22512,"date":"2026-07-16T13:30:07","date_gmt":"2026-07-16T11:30:07","guid":{"rendered":"https:\/\/www.neuraldesigner.com\/use-cases\/virtual-sensing\/"},"modified":"2026-07-16T13:46:58","modified_gmt":"2026-07-16T11:46:58","slug":"virtual-sensing","status":"publish","type":"page","link":"https:\/\/www.neuraldesigner.com\/use-cases\/virtual-sensing\/","title":{"rendered":"Building virtual sensors using machine learning"},"content":{"rendered":"

Virtual sensing techniques are helpful to provide economic and feasible alternatives to impractical or costly physical measurements.<\/p>\n

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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>\n

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

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

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

    <\/p>\n

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    Objectives<\/h2>\n

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

    <\/p>\n

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

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    Benefits<\/h2>\n<\/section>\n
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    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>\n\n\n\n
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    <\/p>\n

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

    		\n

    <\/p>\n

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

    <\/p>\n

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    Approach<\/h2>\n

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

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

    <\/p>\n

    That allows saving costs and time on measure’s obtention<\/p>\n<\/section>\n

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    Conclusions<\/h2>\n<\/section>\n
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    Virtual sensing saves companies money and time since measure taking becomes a software issue, improving planning and decision making.<\/p>\n

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

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    Related posts:<\/h2>\n