What kind of digital currency is MSA
Publish: 2021-04-26 04:37:03
1.
MSA (measurement system analysis) refers to the analysis of measurement system, which uses mathematical statistics and charts to analyze the resolution and error of measurement system, so as to evaluate whether the resolution and error of measurement system are suitable for the measured parameters, and determine the main components of measurement system error
In MSA analysis, Minitab software is recommended to analyze the source of variation and calculate Gage R & amp; R and P / T. And according to the characteristics of the measurement components, we can do the measurement system analysis for the cross type and the nested type components respectively The Minitab software also provides perfect functions in analyzing the linearity and bias of the measuring tool, as well as the resolution of the measuring tool The measurement system must be in statistical control, which means that the variation in the measurement system can only be caused by ordinary reasons rather than special reasons. This can be called statistical stability The variation of measurement system must be smaller than that of manufacturing process The variation should be less than the tolerance zone Generally speaking, the measurement accuracy is one tenth of that of the process variation and tolerance zone The statistical characteristics of the measurement system may change with the change of the measured items. If so, the maximum variation of the measurement system should be less than the smaller of the process variation and the tolerance zone2.
MSA (measurement system analysis) uses mathematical statistics and charts to analyze the resolution and error of the measurement system, so as to evaluate whether the resolution and error of the measurement system are suitable for the measured parameters, and determine the main components of the measurement system error. Meanwhile, MSA (Maritime Safety Administration) is also the English abbreviation of MSA
data is obtained by measurement, and the definition of measurement is: measurement is assigned to specific things to express the relationship between them about special characteristics. This definition was first given by C. eisenhart. The assignment process is defined as the measurement process, and the assigned value is defined as the measurement value
from the definition of measurement, we can see that in addition to specific things, there should be measuring tools, qualified operators using measuring tools, specified operation proceres, and some necessary equipment and software in the measurement process, and then combine them to complete the assignment function and obtain the measurement data
extended data:
in physical experiments, the measurement of physical quantities to be measured can be divided into two categories: direct measurement and indirect measurement
direct measurement can be compared with the instrument to be measured, and the results can be obtained directly. For example, the measurement with scale, vernier caliper, stopwatch, balance and DC ammeter is direct measurement
The indirect measurement means that the size to be measured can not be measured directly by measuring instrument, but can be calculated according to the functional relationship between the quantity to be measured and some direct measurements. For example, the acceleration of gravity can be calculated by measuring the length and period of a simple penlum, and then calculated by the period formula of a simple penlum. This type of measurement is indirect measurementsource of reference: network MSA
source of reference: network measurement error
3. MSA should be measurement systems analysis measurement system analysis, which is required by QS9000 and TS16949 standards. It is mainly based on data, and uses mathematical statistics method to study the variation of measurement system< Gauge R & R is a kind of measurement technique and a kind of MSA.
more professional knowledge: http://www.spconline.net/BBS/index.asp?id8002
more professional knowledge: http://www.spconline.net/BBS/index.asp?id8002
4. MSA: measurement system analysis; Mechanical signature analysis; Multi sensor annulator; Mineral Society of America
Master of Science in agriculture
Master of Science in agriculture
5.
MSA should be measurement systems analysis measurement system analysis, which is required by QS9000 and TS16949 standards. It is mainly based on data, and uses mathematical statistics method to study the variation of measurement system
Measurement system analysis (MSA)
measurement system analysis (MSA) is to analyze the measurement system of which each part can read repeatedly, evaluate the quality of the measurement system, and judge the acceptability of the data generated by the measurement system
in daily proction, we often analyze the process status, process capability and monitoring process changes according to the measured data of processing parts, so as to ensure that the analysis results are correct
6. Measurement systems analysis
measurement systems analysis
I. The statistical characteristics of a measurement system must be under statistical control, which means that the variation in the measurement system can only be caused by ordinary reasons, not by special reasons. This can be called statistical stability
the variation of measurement system must be smaller than that of manufacturing process< The variation should be less than the tolerance zone
the measurement accuracy should be higher than the higher accuracy of process variation and tolerance zone. Generally speaking, the measurement accuracy is one tenth of the higher accuracy of process variation and tolerance zone
the statistical characteristics of the measurement system may change with the change of the measured items. If so, the maximum variation of the measurement system should be less than the smaller of the process variation and the tolerance zone
Second, standards
national standards
first level standards (connecting national standards with private companies, scientific research institutions, etc.)
second level standards (transferring from first level standards to second level standards)
working standards (transferring from second level standards to working standards)
third The evaluation of measurement system is usually divided into two stages, which are called the first stage and the second stage. The first stage is to understand the measurement process and determine whether the measurement system meets our needs. The first stage test has two main purposes:
to determine whether the measurement system has the required statistical characteristics, which must be carried out before use
find out which environmental factors have a significant impact on the measurement system, such as temperature, humidity, etc., so as to determine the space and environment in which it is used< The purpose of the second stage evaluation is to verify that once a measurement system is considered feasible, it should continue to have appropriate statistical characteristics
it is common that "gauge R & R" is one of them< Measuring tool: any device used to obtain measurement results, including the device used to measure qualified / unqualified
measurement system: the system used to obtain the values representing the characteristics of procts or processes is called measurement system. Measurement system is a collection of instruments, equipment, software, program, operator and environment related to measurement results
repeatability of measuring tool: it refers to the variation of the measured value (data) obtained by the same evaluator, using the same measuring instrument and measuring the same characteristic of the same part for many times
reprocibility of measuring tools: it refers to the variation of the average measurement value when different evaluators use the same measuring instrument to measure the same characteristics of the same part
stability: refers to the total variation of the measured value obtained by the measurement system when measuring a single feature of the same benchmark or part within a certain ration
bias: refers to the difference between the average value obtained by the same operator using the same measuring tool to measure the same characteristics of the same part several times and the average value obtained by using more precise instruments to measure the same characteristics of the same part, that is, the difference between the observed average value of the measurement results and the reference value, That is what we usually call "accuracy"
linearity: it refers to the change of bias of the measurement system within the expected working range< 5. When PV of new procts is different, new instruments, EV is different, new operators are different, AV is different, and the analysis frequency of vulnerable instruments should be paid attention to<
analysis of R & R
determine the object to study the main variation forms.
use the "full range and average" or "variation analysis" method to analyze the measuring tools.
randomly select the measured materials in the process, which should belong to the unified process.
select 2-3 operators to use the calibrated measuring tools to inspect 10 parts without knowing it The tester records the data read by the operator, studies its repeatability and reprocibility (the operator should be familiar with and understand the general operation proceres, so as to avoid affecting the reliability of the system e to inconsistent operation), and evaluates the proficiency of the measuring tool to different operators.
after the test, The tester calculates the repeatability and reprocibility data of the measuring tool, as shown in Annex I (R & R data sheet) and Annex II (R & R analysis report), Results analysis:
when the variation value of repeatability (AV) is greater than that of reprocibility (EV).
the structure of the measuring tool should be enhanced in the design.
the clamping of the measuring tool or the way of parts positioning (inspection point) should be improved.
the measuring tool should be maintained.
when the variation value of reprocibility (EV) is greater than that of reprocibility (EV) When it is greater than the repeatability (AV).
operators should strengthen ecation on the operation methods and data reading methods of measuring tools, and the operation standards should be clearly defined or revised.
some fixtures may be needed to assist operators to use measuring tools more consistently.
the calibration frequency of measuring tools and clamps should be analyzed after entering the factory and being sent for repair and correction, And record.
R & R analysis of measurement system (mean range method)
here we introce the commonly used mean range method to study the ality of measurement system: R & R. It is also called long method
the premise of R & R research is that the measurement system has been calibrated, and its bias, linearity and stability have been evaluated and considered acceptable.
measurement systems analysis
I. The statistical characteristics of a measurement system must be under statistical control, which means that the variation in the measurement system can only be caused by ordinary reasons, not by special reasons. This can be called statistical stability
the variation of measurement system must be smaller than that of manufacturing process< The variation should be less than the tolerance zone
the measurement accuracy should be higher than the higher accuracy of process variation and tolerance zone. Generally speaking, the measurement accuracy is one tenth of the higher accuracy of process variation and tolerance zone
the statistical characteristics of the measurement system may change with the change of the measured items. If so, the maximum variation of the measurement system should be less than the smaller of the process variation and the tolerance zone
Second, standards
national standards
first level standards (connecting national standards with private companies, scientific research institutions, etc.)
second level standards (transferring from first level standards to second level standards)
working standards (transferring from second level standards to working standards)
third The evaluation of measurement system is usually divided into two stages, which are called the first stage and the second stage. The first stage is to understand the measurement process and determine whether the measurement system meets our needs. The first stage test has two main purposes:
to determine whether the measurement system has the required statistical characteristics, which must be carried out before use
find out which environmental factors have a significant impact on the measurement system, such as temperature, humidity, etc., so as to determine the space and environment in which it is used< The purpose of the second stage evaluation is to verify that once a measurement system is considered feasible, it should continue to have appropriate statistical characteristics
it is common that "gauge R & R" is one of them< Measuring tool: any device used to obtain measurement results, including the device used to measure qualified / unqualified
measurement system: the system used to obtain the values representing the characteristics of procts or processes is called measurement system. Measurement system is a collection of instruments, equipment, software, program, operator and environment related to measurement results
repeatability of measuring tool: it refers to the variation of the measured value (data) obtained by the same evaluator, using the same measuring instrument and measuring the same characteristic of the same part for many times
reprocibility of measuring tools: it refers to the variation of the average measurement value when different evaluators use the same measuring instrument to measure the same characteristics of the same part
stability: refers to the total variation of the measured value obtained by the measurement system when measuring a single feature of the same benchmark or part within a certain ration
bias: refers to the difference between the average value obtained by the same operator using the same measuring tool to measure the same characteristics of the same part several times and the average value obtained by using more precise instruments to measure the same characteristics of the same part, that is, the difference between the observed average value of the measurement results and the reference value, That is what we usually call "accuracy"
linearity: it refers to the change of bias of the measurement system within the expected working range< 5. When PV of new procts is different, new instruments, EV is different, new operators are different, AV is different, and the analysis frequency of vulnerable instruments should be paid attention to<
analysis of R & R
determine the object to study the main variation forms.
use the "full range and average" or "variation analysis" method to analyze the measuring tools.
randomly select the measured materials in the process, which should belong to the unified process.
select 2-3 operators to use the calibrated measuring tools to inspect 10 parts without knowing it The tester records the data read by the operator, studies its repeatability and reprocibility (the operator should be familiar with and understand the general operation proceres, so as to avoid affecting the reliability of the system e to inconsistent operation), and evaluates the proficiency of the measuring tool to different operators.
after the test, The tester calculates the repeatability and reprocibility data of the measuring tool, as shown in Annex I (R & R data sheet) and Annex II (R & R analysis report), Results analysis:
when the variation value of repeatability (AV) is greater than that of reprocibility (EV).
the structure of the measuring tool should be enhanced in the design.
the clamping of the measuring tool or the way of parts positioning (inspection point) should be improved.
the measuring tool should be maintained.
when the variation value of reprocibility (EV) is greater than that of reprocibility (EV) When it is greater than the repeatability (AV).
operators should strengthen ecation on the operation methods and data reading methods of measuring tools, and the operation standards should be clearly defined or revised.
some fixtures may be needed to assist operators to use measuring tools more consistently.
the calibration frequency of measuring tools and clamps should be analyzed after entering the factory and being sent for repair and correction, And record.
R & R analysis of measurement system (mean range method)
here we introce the commonly used mean range method to study the ality of measurement system: R & R. It is also called long method
the premise of R & R research is that the measurement system has been calibrated, and its bias, linearity and stability have been evaluated and considered acceptable.
7. China MSA is the abbreviation of MSA of the people's Republic of China. You are right.
in this way, you should ask if MSA is the abbreviation of MSA. MSA = maritime safety administration.
in this way, you should ask if MSA is the abbreviation of MSA. MSA = maritime safety administration.
8. The abbreviation of MSA measurement systems analysis measurement system analysis in daily proction, we often analyze the process status, process capability and monitoring process changes according to the measurement data of processing parts; So, how to ensure that the results of the analysis are correct? We must guarantee from two aspects: one is to ensure the accuracy / quality of the measurement data, and use the measurement system analysis (MSA) method to evaluate the measurement system that obtains the measurement data; The second is to ensure the use of appropriate data analysis methods, such as the use of SPC tools, experimental design, analysis of variance, regression analysis, etc< MSA (measurement system analysis) uses mathematical statistics and charts to analyze the resolution and error of the measurement system, so as to evaluate whether the resolution and error of the measurement system are suitable for the measured parameters, and determine the main components of the measurement system error
the error of the measurement system is characterized by the statistical characteristics: bias and variance of multiple measurement data of the measurement system operating under stable conditions. Bias refers to the position of the measurement data relative to the standard value, including bias, linearity and stability of the measurement system; Variance refers to the dispersion of measurement data, also known as R & R of measurement system, including repeatability and reprocibility of measurement system
generally speaking, the resolution of the measurement system should be one tenth of the process variation to obtain the measurement parameters. The bias and linearity of the measurement system are determined by gauge calibration. The stability of the measurement system can be monitored by the mean range control chart which repeatedly measures the same quality characteristics of the same components. The repeatability and reprocibility of the measurement system were determined by the gager R & R study
the data for analysis must come from the measurement system with appropriate resolution and measurement system error, otherwise, no matter what kind of analysis method we use, it may eventually lead to wrong analysis results. In iso10012-2 and QS9000, there are corresponding requirements for the quality assurance of the measurement system, which require enterprises to have relevant proceres to verify the effectiveness of the measurement system
more professional knowledge: http://www.spconline.net/BBS/index.asp?id8002
the error of the measurement system is characterized by the statistical characteristics: bias and variance of multiple measurement data of the measurement system operating under stable conditions. Bias refers to the position of the measurement data relative to the standard value, including bias, linearity and stability of the measurement system; Variance refers to the dispersion of measurement data, also known as R & R of measurement system, including repeatability and reprocibility of measurement system
generally speaking, the resolution of the measurement system should be one tenth of the process variation to obtain the measurement parameters. The bias and linearity of the measurement system are determined by gauge calibration. The stability of the measurement system can be monitored by the mean range control chart which repeatedly measures the same quality characteristics of the same components. The repeatability and reprocibility of the measurement system were determined by the gager R & R study
the data for analysis must come from the measurement system with appropriate resolution and measurement system error, otherwise, no matter what kind of analysis method we use, it may eventually lead to wrong analysis results. In iso10012-2 and QS9000, there are corresponding requirements for the quality assurance of the measurement system, which require enterprises to have relevant proceres to verify the effectiveness of the measurement system
more professional knowledge: http://www.spconline.net/BBS/index.asp?id8002
9. MSA is called measurement system analysis, which is one of the five major tools in the automotive instry. It mainly focuses on the measurement system analysis of repeatability, reprocibility, stability, bias and linearity of measurement equipment or tools
measurement system analysis is divided into counting measurement system analysis and metering measurement system analysis.
measurement system analysis is divided into counting measurement system analysis and metering measurement system analysis.
10. ABR.
1.
= marine safety agency
2.
= Maritime Safety Agency (Japan)
3.
= Middle States Association (University and middle school)
4.
= Mineralogical Society of America
5.
= Mutual Security Agency (U.S.)
1.
= marine safety agency
2.
= Maritime Safety Agency (Japan)
3.
= Middle States Association (University and middle school)
4.
= Mineralogical Society of America
5.
= Mutual Security Agency (U.S.)
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