Causes of errors in coal testing equipment - Database & Sql Blog Articles

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Reasons for errors in coal testing equipment

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1. The cause of the error

Although modern analytical instruments and techniques have been widely used in coal quality analysis, in the process of coal quality analysis, laboratory personnel use instruments and medicines, and after certain operational steps such as weighing, melting, dissolving and Separation, after which the results of the coal quality analysis can be obtained. In the above process, even the most skilled laboratory personnel, using the most sophisticated instruments and the most pure reagents, due to the accuracy of the measuring instrument, the limitations of human sensory sensitivity, and the relative purity of the reagents, etc. The reason is that an absolutely accurate test result cannot be obtained. This means that there must always be a difference between the measured result and the true value, which is the measured error. The generation of analysis errors can be roughly classified into two categories: systematic errors and accidental errors.

1.1 systematic error

Systematic errors are differences due to fixed causes that are close in value and are the same sign (positive or negative) and often recur. There are three main reasons for system errors: one is the instrument. For example, due to the use of uncorrected weight weighing, or the length of the arms of the equal-arm analytical balance may vary; if an uncorrected burette is used, etc., system errors may result. The second is the reagent aspect. For example, the reagent is impure or the distilled water contains impurities, etc., causing repeated errors in the same symbol and the same value. The third is the measurement method. For example, in acid-base titration, the error caused by the inconsistency between the point and the end point.

1.2 accidental error

Accidental errors are not fixed and can vary, and are large, small, positive, and negative in several measurements. Although accidental errors do not recur regularly as systematic errors, if a large number of experiments are carefully observed, it can be found that accidental errors are also regularly ruled, such as a small number of errors, a small majority, a positive error and The probability of a negative error occurring is almost equal. There are two main reasons for the accidental error: First, the operator's negligence. For example, when looking at a burette reading, since the last reading (less than 0.1 mL) is estimated, multiple differences in estimates can cause occasional errors. The second is the unexpected factor. For example, changes in ambient temperature, current, voltage instability, etc., are conditions that the operator cannot control, and they will cause accidental errors.