1. Systematic error refers to the regular error caused by the measuring instrument or method, which is reflected by the deviation from the true value, such as the instrument zero error, the annual variation error, the error caused by environmental conditions such as temperature, electromagnetic field, etc. Source caused errors and so on. The absolute value and sign of this error remain unchanged, or the error obeys a certain functional relationship when the measurement conditions change. Systematic errors After mastering the causes of the error, the instrument can be proofread, the test environment can be changed and checked to find out the value of the systematic error and try to exclude it. For example, the angular velocity measurement error caused by eccentricity of the turntable changes according to sine law, and the centering can eliminate this error.
2. Random errors, in addition to systematic errors that can be excluded, are also caused by random factors. Generally, it is impossible to exclude difficult-to-correct errors as random errors. Under repeated tests under the same conditions, it can be found that the probability of random errors obeys the law of statistical analysis. The error theory is based on this rule of random errors, and the obtained set of limited data is statistically processed to estimate the true value of measurement. Random error is characterized by the fact that the sign and size of the error are changing at any time. There are many factors that affect this error, and each factor has only a small impact on the measured values. The random error is caused by the sum of these minor effects. Although some factors that cause random errors are known, such as the degree of air drying, the degree of purification, and the size or direction of airflow, they have a slight impact on the measurement results, but they cannot be accurately controlled. There are also some factors that can produce random errors that cannot be determined.
3, gross error, refers to the error caused by the misunderstanding of the observer or sensor elements caused by the error. This error should be avoided in the measurement. Measurements with gross errors are called bad values. According to the criteria of the statistical test method, it can be judged whether it is a bad value, and the bad value should be rejected. Excluding such errors also follows certain rules.
The above information hopes to be helpful to everyone. The information points we have summarized for everyone need to be adopted and adopted. This is not only for the maintenance of the product but also for its own use. So stay tuned for the ABG instrument. We prefer to choose us when purchasing instruments.
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