Error detecting system of variable system and detecting method thereof

Abstract

The invention discloses an error detecting system of a variable system and a detecting method thereof. The system consists of a data acquiring module, a measurement database module, a detecting methodselection module, a detection process analysis module, a report output module and a detection result display module, wherein the data acquiring module is used for acquiring measuring data and storingthe measuring data into the measurement database module; the detecting method selection module is used for determining a detecting method; and the detection process and result are displayed to the user by the report output module and the detection result display module. The method comprises two parts: a quadratic function fitting trend term test method is adopted for progressive systematic error,and a periodogram processing method is adopted for periodic systematic error. The system and the method of the invention do not need to consider the data distribution and the influence of random error in the measuring process, are applicable to various types of measurement data, and provide a new technical way for detecting the error of the variable system. Meanwhile, the system has expandability.

Description

technical field [0001] The invention belongs to the field of measurement data analysis and processing, relates to a system error processing method of measurement data, and in particular to a variable value system error detection technology. Background technique [0002] The purpose of measurement is to obtain the true value of the measurand. The truth value exists objectively under certain space-time conditions and is unknowable. Measurement error describes the difference between the indicated value of a measurement and the true value of the measurand. All measurements are subject to error. [0003] According to the nature of the error, the error can be divided into three types: systematic error, random error and gross error. Systematic error means that when the same quantity is measured under the same observation conditions, the absolute value and sign of the error remain constant, or change according to a certain law when the conditions change. When the same quantity i...

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Problems solved by technology

Time series needs to analyze the trend items, periodicity, and randomness of the sequence, and provide some mature processing methods. For example, the typical methods for determining the trend curve are weighted moving average method and least squares method, and the periodogram for determining the periodicity and the maximum entropy method, these methods provide a basis for the detection of variable-value system errors, especially the trend item and periodic analysis methods can be applied to the analysis process of progressive system errors and periodic system errors, providing a basis for variable-value system errors The detection provides a wealth of means; however, there is no system dedicated to the error detection of variable value systems

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