{"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":"2026-08-25T14:03:53","modified_gmt":"2026-08-25T12:03:53","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":"<style>.ndb{width:100vw;margin-left:calc(50% - 50vw);background:#eeeeee;padding:22px 24px 14px;font-family:\"Outfit\",\"Roboto\",Arial,sans-serif;color:#1b2635}.ndb *{box-sizing:border-box}.ndb a{text-decoration:none}.ndb-wrap{width:min(100%,960px);margin:0 auto}.ndb-lead{font-size:18px;line-height:1.6;color:#3a4a5a;font-weight:300;margin:0 0 22px}.ndb-lead a{color:#2d799f;font-weight:600}.ndb-highlight{margin:0 0 36px;padding:28px 34px;border-radius:18px;background:linear-gradient(135deg,#56a1c8 0%,#245e80 100%);color:#fff;box-shadow:0 16px 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img[src*=\".svg\"],body.page-child.parent-pageid-22498 main.site-main .ndb-wrap .ndb-card td svg,body.page-child.parent-pageid-22498 main.site-main .ndb-wrap .nd-benefit-icon svg{width:60px!important;height:60px!important;max-width:60px!important;display:inline-block!important;margin:0 auto 6px!important;color:#2d799f!important;box-shadow:none!important;border-radius:0!important}.ndb-card p:has(>img),.ndb-card figure,.ndb-lead p:has(>img),.ndb-lead figure{max-width:560px!important;margin-left:auto!important;margin-right:auto!important;text-align:center!important}.ndb-card p:has(>.nd-usecase-icon-source),.ndb-card .nd-usecase-icon-source{max-width:none!important}.ndb-card table:has(td h3){background:transparent!important;box-shadow:none!important;border:0!important;width:100%!important;table-layout:fixed!important;margin:14px 0!important}.ndb-card table:has(td h3) td{background:transparent!important;border:0!important;text-align:center!important;vertical-align:top!important;padding:16px 14px!important}.ndb-card table:has(td h3) td p{margin:0 0 12px!important;text-align:center!important;max-width:none!important}.ndb-card table:has(td h3) td p img{display:inline-block!important;width:52px!important;height:52px!important;max-width:52px!important;object-fit:contain!important;margin:0 auto!important;box-shadow:none!important;border-radius:0!important}.ndb-card table:has(td h3) td h3{color:#001233!important;font-size:16px!important;font-weight:600!important;margin:0!important;text-align:center!important;letter-spacing:.03em}body.page-child.parent-pageid-22498 main.site-main .ndb-wrap .ndb-card table td p img{width:52px!important;height:52px!important;max-width:52px!important;min-width:0!important;object-fit:contain!important;margin:0 auto!important;display:inline-block!important}main#content .ndb-card .nd-usecase-title-icon,main#content .ndb-card h3.nd-usecase-icon-title img{display:none!important}main#content .ndb-card h3.nd-usecase-icon-title{display:block!important}.ndb-card .ndb-subhead{color:#001233!important;font-size:19px!important;font-weight:600!important;margin:26px 0 8px!important;text-align:center!important}.ndb-card table:has(td h3) td p:not(:has(img)){font-size:14px!important;line-height:1.5!important;color:#51606f!important;margin:8px auto 0!important;text-align:center!important;max-width:none!important}<\/style><div class=\"ndb\"><div class=\"ndb-wrap\"><div class=\"ndb-lead\"><p>Virtual sensing techniques are helpful to provide economic and feasible alternatives to impractical or costly physical measurements.<\/p>\n<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>\n<p>This approach promises cost savings because the company virtually performs physical, costly tasks.<\/p>\n<\/div><ul class=\"ndb-toc\"><li><a href=\"#objectives\">Objectives<\/a><\/li><li><a href=\"#benefits\">Benefits<\/a><\/li><li><a href=\"#approach\">Approach<\/a><\/li><li><a href=\"#conclusions\">Conclusions<\/a><\/li><\/ul><div class=\"ndb-card\" id=\"objectives\"><h2>Objectives<\/h2><p>Virtual sensing tries to model our target variable, so it is unnecessary to measure it physically.<\/p>\n<p><img decoding=\"async\" style=\"width: 485px; max-width: 100%;\" src=\"https:\/\/www.neuraldesigner.com\/images\/virtual-sensing-figure.svg\" height=\"254\" \/><\/p>\n<p>The challenge is to get the correct variables for our model to predict the quantity of interest.<\/p>\n<\/div><div class=\"ndb-card\" id=\"benefits\"><h2>Benefits<\/h2><p>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<table>\n<tbody>\n<tr>\n<td style=\"text-align: center; border: none;\">\n<p class=\"nd-benefit-icon\"><svg aria-hidden=\"true\" focusable=\"false\" viewBox=\"0 0 24 24\" role=\"img\"><path d=\"M15.5 14h-.79l-.28-.27C15.41 12.59 16 11.11 16 9.5 16 5.91 13.09 3 9.5 3S3 5.91 3 9.5 5.91 16 9.5 16c1.61 0 3.09-.59 4.23-1.57l.27.28v.79l5 4.99L20.49 19l-4.99-5zm-6 0C7.01 14 5 11.99 5 9.5S7.01 5 9.5 5 14 7.01 14 9.5 11.99 14 9.5 14z\" fill=\"currentColor\"><\/path><\/svg><\/p>\n<h3>REDUCE COSTS<\/h3>\n<\/td>\n<td style=\"text-align: center; border: none;\">\n<p class=\"nd-benefit-icon\"><svg aria-hidden=\"true\" focusable=\"false\" viewBox=\"0 0 24 24\" role=\"img\"><path d=\"M16 18l2.29-2.29-4.88-4.88-4 4L2 7.41 3.41 6l6 6 4-4 6.3 6.29L22 12v6z\" fill=\"currentColor\"><\/path><\/svg><\/p>\n<h3>SAVE TIME<\/h3>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div><div class=\"ndb-card\" id=\"approach\"><h2>Approach<\/h2><p>Virtual sensing is to create an approximation model that takes in some input variables related to our target and estimates the latter.<\/p>\n<p>Neural networks can model the correct values of the target variable, so we do not need to take physical measures.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.neuraldesigner.com\/images\/virtual-sensing-approach-neurons.webp\" \/><\/p>\n<p>That allows saving costs and time when obtaining measurements.<\/p>\n<\/div><div class=\"ndb-card ndb-card--accent\" id=\"conclusions\"><h2>Conclusions<\/h2><p>Virtual sensing saves companies money and time since measure taking becomes a software issue, improving planning and decision making.<\/p>\n<p><a href=\"https:\/\/www.neuraldesigner.com\/\">Neural Designer<\/a> uses machine learning to build predictive models that represent a broad range of variables associated with virtual sensing.<\/p>\n<\/div><\/div><\/div>\r\n<!-- nd-index-improvement-v1 --><section class=\"nd-index-improvement\" aria-labelledby=\"nd-virtual-sensing-practice\"><h2 id=\"nd-virtual-sensing-practice\">Designing a virtual sensor<\/h2><p>A virtual sensor estimates a variable that is expensive, delayed or impractical to measure directly. Training data should align the available input measurements with trustworthy reference values and cover the operating range in which the model will be used.<\/p><h3>Checks before operation<\/h3><p>Separate calibration and evaluation periods, inspect residuals across operating regimes and define what should happen when inputs fall outside the training range. In production, compare predictions with new reference measurements whenever they become available and retrain only through a controlled, documented process.<\/p><p>See the guides to <a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/data-set\/\">data preparation<\/a>, <a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/testing-analysis\/\">testing analysis<\/a> and <a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/model-deployment\/\">model deployment<\/a>.<\/p><\/section>\r\n","protected":false},"excerpt":{"rendered":"<p>Virtual sensing techniques are helpful to provide economic and feasible alternatives to impractical or costly physical measurements. 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. This approach promises cost savings because the company virtually performs physical, costly tasks. [&hellip;]<\/p>\n","protected":false},"author":152,"featured_media":1326,"parent":22498,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-22512","page","type-page","status-publish","has-post-thumbnail","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.4 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Building virtual sensors using machine learning - Neural Designer<\/title>\n<meta name=\"description\" content=\"Explore this Neural Designer use case for Building virtual sensors using machine learning, including problem framing, data, evaluation and limitations.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.neuraldesigner.com\/use-cases\/virtual-sensing\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Building virtual sensors using machine learning - Neural Designer\" \/>\n<meta property=\"og:description\" content=\"Virtual sensing techniques are helpful to provide economic and feasible alternatives to impractical or costly physical measurements. 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