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| articles:optimizing_calibration_intervals [2025/10/31 15:44] – [Methodologies for the Determination of Calibration Intervals] rrandall | articles:optimizing_calibration_intervals [2025/10/31 16:39] (current) – [Methodologies for the Determination of Calibration Intervals] rrandall | ||
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| Methodologies for the determination of calibration intervals are defined in documents such as: | Methodologies for the determination of calibration intervals are defined in documents such as: | ||
| * [[https:// | * [[https:// | ||
| + | * [[https:// | ||
| * [[https:// | * [[https:// | ||
| There are several methods and theories for calculating calibration intervals, including those outlined in NCSL RP-1, specifically Method S1 (Classical Method), Method S2 (Binomial Method), and Method S3 (Renewal Time Method). As a result, it can be difficult to choose the best method to determine the interval (Ref. [[https:// | There are several methods and theories for calculating calibration intervals, including those outlined in NCSL RP-1, specifically Method S1 (Classical Method), Method S2 (Binomial Method), and Method S3 (Renewal Time Method). As a result, it can be difficult to choose the best method to determine the interval (Ref. [[https:// | ||
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| Of course, this method assumes that the company is being provided with “as found” data for each calibration performed. \\ | Of course, this method assumes that the company is being provided with “as found” data for each calibration performed. \\ | ||
| - | A critical component when using this methodology is determining the percentage of the maximum permissible error. The higher the percentage, the greater the risk of an instrument being found Out-of-Tolerance (OOT); potentially resulting in nonconforming product escapes. The lower the percentage, the greater the cost associated with lowering the risk of an OOT condition; and reducing the potential for nonconforming product escapes. This percentage will often vary based on the type of instrumentation to which it is applied. \\ | + | A critical component when using this methodology is determining the percentage of the maximum permissible error. The higher the percentage, the greater the risk of an instrument being found Out-of-Tolerance (OOT), potentially resulting in nonconforming product escapes. The lower the percentage, the greater the cost associated with lowering the risk of an OOT condition and reducing the potential for nonconforming product escapes. This percentage will often vary based on the type of instrumentation to which it is applied. \\ |
| - | Most often companies establish a " | + | Most often, companies establish a " |
| ===== Initial Calibration Intervals ===== | ===== Initial Calibration Intervals ===== | ||

