CEESI Statistical Process Control Publications
The following are a selection of papers written by CEESI engineers regarding statistical process control. If you would
like addition information on this type of meter, or on other flow measurement topics, search the
Measurement Library. Please read the
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Statistical Control of a Flowmeter Calibration Process
Tom Kegel,
2003, Measurement Science Conference
Abstract:
This paper summarizes the statistical process control program in place in the CEESI Iowa flow facility. Data have been obtained from three meters over a three year period of time. Conclusions are drawn regarding consistency of operation and
measurement uncertainty.
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Statistical Control of the Measurement Process
Tom Kegel,
2001, 6th Pipeline Conference
Abstract:
This paper proposes a non-traditional paradigm that considers measurement to be a process. In a manufacturing process, it is recognized that many small effects can contribute to random variance in the process output. These effects arise from an operator, a procedure, the environment, and raw materials as well as the machinery itself. The economic equilibrium between the cost of identifying the source of an effect and the benefit realized from reducing the impact inevitably results in some level of random variance. The manufacturing community has developed a statistical tool, statistical process control (SPC), to monitor the consistency of the random variance. The application of SPC allows a manufacturer to confirm that a process is operating “in control” and therefore producing consistent products. From a statistical point of view, the measurement and manufacturing processes are very similar. The result of a measurement will exhibit random variance due to the effects of operators, procedures, and the environment as well as the instrument itself. The SPC algorithms are therefore equally applicable to the measurement process. This paper describes by example the application of statistical process control to several calibration processes. In addition to monitoring consistency, the results are used to provide estimated uncertainty values associated with the measurement result.
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Statistcal Control of the Measurement Processs
Tom Kegel,
2001, 2nd Seminar on Advanced Flow Measurement
Abstract:
This paper proposes a non-traditional paradigm that considers measurement to be a process. In a manufacturing process, it is recognized that many small effects can contribute to random variance in the process output. These effects arise from an operator, a procedure, the environment, and raw materials as well as the machinery itself. The economic equilibrium between the cost of identifying the source of an effect and the benefit realized from reducing the impact inevitably results in some level of random variance. The manufacturing community has developed a statistical tool, statistical process control (SPC), to monitor the consistency of the random variance. The application of SPC allows a manufacturer to confirm that a process is operating “in control” and therefore producing consistent products. From a statistical point of view, the measurement and manufacturing processes are very similar. The result of a measurement will exhibit random variance due to the effects of operators, procedures, and the environment as well as the instrument itself. The SPC algorithms are therefore equally applicable to the measurement process. This paper describes by example the application of statistical process control to several calibration processes. In addition to monitoring consistency, the results are used to provide estimated uncertainty provide estimated uncertainty values associated with the measurement result.
Download from the Measurement Library
Statistical Control of a Flowmeter Calibration Process
Tom Kegel,
2000, 46th International Instrumentation Symposium
Abstract:
This paper describes the role of statistical process control in the maintenance of control check standards in a flow calibration laboratory. Statistical process control is an important element of a complete measurement assurance program. The discussion builds on the basic concepts applied to pressure transducers and incorporates performance features unique to the flowmeters.
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Statistical Control of a Differential Pressure Instrument Calibration Process
Tom Kegel,
1999, 45th International Instrumentation Symposium
Abstract:
This paper describes the role of statistical process control in the maintenance of differential pressure transfer standards in a flow calibration laboratory. Statistical process control is an important element of a complete measurement assurance program. The discussion builds on the basic concepts applied to pressure transducers and incorporates performance features unique to the differential pressure transducers.
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The Impact of ISO 9000 on Measurement Comparison Programs in a Flow Calibration Facility
Tom Kegel,
1997, ISA Tech 97
Abstract:
This paper describes the role of statistical process control in the maintenance of differential pressure transfer standards in a flow calibration laboratory. Statistical process control is an important element of a complete measurement assurance program. The discussion builds on the basic concepts applied to pressure transducers and incorporates performance features unique to the differential pressure transducers.
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Statistical Control of a Pressure Instrument Calibration Process
Tom Kegel,
1996, Transactions of the ISA: Journal of the Instrument Society of America
Abstract:
The calibration laboratory is faced with the need to become accredited or registered to one or more quality standards is [1-3]. One requirement common to all of these standards is the need to have in place a measurement assurance program. What is a measurement assurance program? Belanger [4] provides a general description: "A quality assurance program for a measurement process that quantifies the total uncertainty of the measurements (both random and systematic components of error) with respect to national or designated standards and demonstrates that the total uncertainty is sufficiently small to meet the user’s requirements." Schumacher [5] is more specific: "Measurement assurance is the application of broad quality control principles to measurements and calibrations." This paper describes the implementation of statistical process control (SPC), an important part of the measurement assurance program. It is organized into the following five sections:
* Statistical Process Control -- Industrial Example
* Statistical Tools in the Calibration Lab
* Curve Fitted and Interpolated Data
* Examples
* Conclusions
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Pressure Instrument Calibration Reaps SPC Benefits
Tom Kegel,
1995, InTech
Abstract:
Calibration laboratories are faced with the need to become accredited or registered to one or more quality standards is the need to have in place a measurement assurance program. What is a measurement assurance program? Brian Belanger, in Measurement Assurance Programs: Part 1, describes it as a "quality assurance program for a measurement process that quantifies the total uncertainty of the measurements (both random and systematic components of error) with respect to national or designed standards and demonstrates that the total uncertainty is sufficiently small to meet the user's requirements."
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Statistical Control of a Pressure Instrument Calibration Process
Tom Kegel,
1995, ISA Technical Conference
Abstract:
This paper describes the role of statistical process control in the maintenance of pressure transfer standards in a flow calibration laboratory. Statistical process control is an important element in a complete measurement assurance program. The discussion encompasses basic concepts as well as the presentation of actual data.
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Quality Assurance Programs in a Calibration Laboratory: Statistical Process Control
Tom Kegel,
1994, Measurement Science Conference
Abstract:
This paper describes the role of statistical process control in the maintenance of pressure transfer standards in a flow calibration laboratory. Statistical process control is an important element in a complete measurement assurance program. The discussion encompasses basic concepts as well as the presentation of actual data.
Download from the Measurement Library