{"id":4888,"date":"2022-06-23T15:40:04","date_gmt":"2022-06-23T15:40:04","guid":{"rendered":"https:\/\/www.srpcontrol.com\/?p=4888"},"modified":"2023-09-21T18:58:44","modified_gmt":"2023-09-21T18:58:44","slug":"understanding-the-basics-of-uncertainty-in-measurement-and-calibration","status":"publish","type":"post","link":"https:\/\/www.srpcontrol.com\/understanding-the-basics-of-uncertainty-in-measurement-and-calibration\/","title":{"rendered":"Understanding the Basics of Uncertainty in Measurement and Calibration"},"content":{"rendered":"<p><span data-preserver-spaces=\"true\">Estimating measurement uncertainty is one of the most challenging tasks scientists and calibration technicians must handle.\u00a0<\/span><\/p>\n<p><span data-preserver-spaces=\"true\">When an instrument is calibrated, the measurements should be traceable to a common standard. All calibration labs worldwide use the ISO Guide to the Expression of Uncertainty in Measurement (GUM) method to estimate measurement uncertainty. First, let\u2019s examine the basics of Uncertainty in Measurement and Calibration.<\/span><\/p>\n<p><strong><span data-preserver-spaces=\"true\">What is the Uncertainty of Measurement?\u00a0<\/span><\/strong><\/p>\n<p><span data-preserver-spaces=\"true\">Uncertainty is the range of possible values within which the actual value of the measurement lies. It is the \u201cdoubt\u201d of measurement. It tells us how good the measurement is. Every measurement has some \u201cdoubt,\u201d we should know how much this \u201cdoubt\u201d is to decide if the measurement is good enough for usage.<\/span><\/p>\n<p><span data-preserver-spaces=\"true\">Many things affect the result of a measurement, the tools used, the method or process used, and the way the person did the job.<\/span><\/p>\n<p><span data-preserver-spaces=\"true\">Error is not the same as uncertainty. For example, in calibration, when we compare our device to be calibrated against the reference standard, the error is the difference between these two readings. It is critical to be able to distinguish between uncertainty and error.<\/span><\/p>\n<p><strong><span data-preserver-spaces=\"true\">Standard Deviation of the Measurement<\/span><\/strong><\/p>\n<p><span data-preserver-spaces=\"true\">The standard deviation is a statistic that measures the dispersion of a dataset relative to its mean. It is then calculated as the square root of the variance.\u00a0<\/span><\/p>\n<p><span data-preserver-spaces=\"true\">The goal is to get the typical deviation of that whole measurement process and use the knowledge as an uncertainty component related to that measurement.<\/span><\/p>\n<p><span data-preserver-spaces=\"true\">Being aware of the standard deviation of your calibration process is a critical part of the total uncertainty.<\/span><\/p>\n<p><strong><span data-preserver-spaces=\"true\">The Reference Standard (Calibrator) and its Traceability<\/span><\/strong><\/p>\n<p><span data-preserver-spaces=\"true\">One of the most significant sources of uncertainty comes from the reference standard or calibrator you use in your measurements\/ calibrations. First, you should select a suitable reference standard for each measurement.\u00a0<\/span><\/p>\n<p><span data-preserver-spaces=\"true\">It is also essential to note that it is not enough to use the manufacturer\u2019s accuracy specification for the reference standard and keep using the uncertainty of the reference standards long term. You must calibrate your reference standards regularly in a calibration laboratory with sufficient capabilities to calibrate the norm and make it traceable.\u00a0<\/span><\/p>\n<p><span data-preserver-spaces=\"true\">It is essential to realize the total uncertainty of the calibration that the laboratory documents for your reference standard. Therefore, follow the stability of your reference standards between its regular calibrations. After some time, you will learn the fundamental uncertainties of your reference standard, and you can use that information in your calibrations.<\/span><\/p>\n<p><strong><span data-preserver-spaces=\"true\">Compliance Statement: Pass or Fail<\/span><\/strong><\/p>\n<p><span data-preserver-spaces=\"true\">When an instrument is calibrated, it has a pre-defined tolerance limit that it has to meet. Tolerance levels are the maximum levels indicating how much the result can differ from the actual value. If the errors of the calibration result are within the tolerance limits, it is a passed calibration. If some result errors exceed tolerance limits, it is a failed calibration.<\/span><\/p>\n<p><strong><span data-preserver-spaces=\"true\">The GUM 8-step Process for Calculating Uncertainty<\/span><\/strong><\/p>\n<ol>\n<li><span data-preserver-spaces=\"true\">Describe the measured value in terms of your measurement process.<\/span><\/li>\n<li><span data-preserver-spaces=\"true\">List the input quantities.<\/span><\/li>\n<li><span data-preserver-spaces=\"true\">Determine the uncertainty for each input quantity.<\/span><\/li>\n<li><span data-preserver-spaces=\"true\">Evaluate any covariances\/correlations in input quantities.<\/span><\/li>\n<li><span data-preserver-spaces=\"true\">Calculate the measured value to report.<\/span><\/li>\n<li><span data-preserver-spaces=\"true\">Correctly combine the uncertainty components.<\/span><\/li>\n<li><span data-preserver-spaces=\"true\">Multiply the combined uncertainty by a coverage factor<\/span><\/li>\n<li><span data-preserver-spaces=\"true\">Report the result in the proper format.<\/span><\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"Estimating measurement uncertainty is one of the most challenging tasks scientists and calibration technicians must handle.\u00a0 When an instrument is calibrated, the measurements should be traceable to a common standard. All calibration labs worldwide use the ISO Guide to the Expression of Uncertainty in Measurement (GUM) method to estimate measurement uncertainty. First, let\u2019s examine the&#8230;","protected":false},"author":5,"featured_media":5021,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[73],"tags":[],"class_list":["post-4888","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-calibration-guides"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Understanding the Basics of Uncertainty in Measurement and Calibration - SRP control systems ltd<\/title>\n<meta name=\"description\" content=\"Uncertainty is the range of possible values within which the actual value of the measurement lies. It is the \u201cdoubt\u201d of measurement. It tells us how good the measurement is. Every measurement has some \u201cdoubt,\u201d we should know how much this \u201cdoubt\u201d is to decide if the measurement is good enough for usage.\" \/>\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.srpcontrol.com\/understanding-the-basics-of-uncertainty-in-measurement-and-calibration\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Understanding the Basics of Uncertainty in Measurement and Calibration - SRP control systems ltd\" \/>\n<meta property=\"og:description\" content=\"Uncertainty is the range of possible values within which the actual value of the measurement lies. It is the \u201cdoubt\u201d of measurement. It tells us how good the measurement is. 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