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articles:optimizing_calibration_intervals [2023/02/01 18:35] – [Initial Calibration Intervals] rrandall | articles:optimizing_calibration_intervals [2025/02/20 10:40] (current) – [Methodologies for the Determination of Calibration Intervals] rrandall | ||
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Most M&TE are on arbitrary 12 month calibration intervals... as if “one size” fits all. These are typical “manufacturer-recommended intervals” - which are often extremely conservative because the manufacturer wants their calibration labs to stay busy. And most companies happily pay them to do so. Yes… over-calibrating M&TE reduces risk… but only to a degree((A MUCH better way to reduce risk is to increase the minimum " | Most M&TE are on arbitrary 12 month calibration intervals... as if “one size” fits all. These are typical “manufacturer-recommended intervals” - which are often extremely conservative because the manufacturer wants their calibration labs to stay busy. And most companies happily pay them to do so. Yes… over-calibrating M&TE reduces risk… but only to a degree((A MUCH better way to reduce risk is to increase the minimum " | ||
+ | [[https:// | ||
If M&TE calibration intervals were optimized based upon performance, | If M&TE calibration intervals were optimized based upon performance, | ||
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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:// |
* [[http:// | * [[http:// | ||
There are many methods and theories to calculate calibration intervals, such as those found in NCSL RP-1, 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 many methods and theories to calculate calibration intervals, such as those found in NCSL RP-1, 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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[[http:// | [[http:// | ||
</ | </ | ||
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- | Perhaps the simplest and most widely used methodology for optimizing calibration intervals is the " | + | Perhaps the simplest and most widely used methodology for optimizing calibration intervals is the " |
==== Using the “Staircase” method ==== | ==== Using the “Staircase” method ==== | ||
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Each time an instrument is calibrated on a routine basis, the subsequent interval is extended IF it is found to be within a certain percentage (e.g., 80%) of the maximum permissible error that is required for measurement, | Each time an instrument is calibrated on a routine basis, the subsequent interval is extended IF it is found to be within a certain percentage (e.g., 80%) of the maximum permissible error that is required for measurement, | ||
- | 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. \\ |
- | [[https:// | + | 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 upon 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 ===== | ||
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===== Usage-Based Intervals ===== | ===== Usage-Based Intervals ===== | ||
- | A topic rarely seen addressed is the establishment of calibration intervals based upon usage rather than time. This generally applies to dimensional gages | + | A topic rarely seen addressed is the establishment of calibration intervals based on usage rather than time. This generally applies to dimensional gages |
- | <note>ASME B1.7-2006, " | + | <WRAP center round info 80%> |
+ | ASME B1.7-2006, " | ||
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More specifically, | More specifically, | ||
\\ | \\ | ||
- | In contrast, " | + | In contrast, " |
+ | </WRAP> | ||
The ONLY way that a " | The ONLY way that a " | ||
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A simple way to utilize “usage-based” calibration intervals for gages is to purchase plain (Go / No Go) plug gages that have a black-oxide treatment to show wear patterns - indicating when the gage needs to be calibrated or replaced. As an added benefit, the black oxide treatment provides a mild layer of corrosion and abrasion resistance (reducing wear). | A simple way to utilize “usage-based” calibration intervals for gages is to purchase plain (Go / No Go) plug gages that have a black-oxide treatment to show wear patterns - indicating when the gage needs to be calibrated or replaced. As an added benefit, the black oxide treatment provides a mild layer of corrosion and abrasion resistance (reducing wear). | ||
- | <note warning> | ||
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+ | <WRAP center round alert 80%> | ||
+ | Be advised that using an ultrasonic cleaner with solvent COULD remove all of the black oxide. So you should check with the manufacturer to get clarification of using this cleaning technique; vs. simply wiping them down to remove any grit. Alternatively, | ||
+ | </ | ||