Explicit method based on the difference performance trendin individual and group characteristics in the same system

Abstract

The invention discloses an explicit method based on the difference performance trend of individual and group characteristics in the same system. The explicit method comprises the following steps: in the same system and working environment, the original data of a certain individual in the working state of a certain period of time are statistically analyzed; The characteristics of the original datain the working state of the group in this time period are statistically analyzed. The statistical results of the differences of the characteristics of the working states between the individuals and the groups mentioned above were made explicit. The trend of the difference of the working state between the individuals and the groups mentioned above was manifested. As that statistical result of the key characteristic of the working state of an individual in a period of time in the same system and environment and the statistical result of the key characteristics of the working state of a representative group are combined, Re-organization analysis is performed to calculate the difference trend of working state between individuals and groups, and finally transforms the disordered data into the basis of judging individual state, which provides a better basis for fault detection.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a method for manifesting trends based on differences in individual and group characteristics in the same system. Background technique [0002] In the same system, all individuals and groups in the same working environment have the same working mechanism, and on the premise that it does not break down and works normally, these individuals and groups have similar working conditions. [0003] In the prior art, in order to judge whether the working state of an individual is normal within a certain period of time, it is not perfect to only use the single data characteristic of the individual and the corresponding characteristic index to compare and judge the working state. Because, if the working state of the individual conforms to the characteristic index, but it is quite different from the characteristic index of the working state of other groups under the same system at the same ...

AI Technical Summary

Problems solved by technology

Because, if the working state of the individual conforms to the characteristic index, but it is quite different from the characteristic index of the working state of other groups under the same system at the same time, and this "out-of-group" state lasts for a period of time, then this kind of behavior will occur. The cause of the situation is likely to be that the individual has appeared to be malfunctioning or even malfunctioning

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