Method for searching and analyzing abnormality of signals during vibration and process of steam turbine set

Abstract

The invention belongs to the technical field of vibration monitor and control of steam turbine sets, in particular relates to a method for searching and analyzing the abnormality of signals during vibration and process of a steam turbine set. The method comprises the following steps of forming time sequences by history data with the preset group number; dividing each group of the time sequences into time subsequences, calculating mode characteristic values of the time subsequences and executing normalization processing; forming a mode characteristic value aggregation by the processed mode characteristic values; extracting a maximum value of all mode characteristics from the mode characteristic value aggregation and ranging in order from the largest to the smallest to form a mode characteristic extreme value sequence; gaining an abnormal characteristic boundary of the mode characteristic extreme value sequence; determining abnormal time subsequences; storing the abnormal time subsequences over the abnormal characteristic boundary in an abnormal change sequence; and executing optimal regression analysis on the abnormal change sequence based on coefficients of determination, and finding out a matched early warning grade according to an early warning mechanism rule. The invention increases the early warning precision and depth of vibration and process parameters.

Description

technical field [0001] The invention belongs to the technical field of vibration monitoring and control of a steam turbine unit, and in particular relates to a method for searching and analyzing the abnormality of vibration and process signals of a steam turbine unit. Background technique [0002] Since the 20th century, steam turbines have played an increasingly important role in the development of industrial production and science and technology. At the same time, as a large-scale rotating machine, the steam turbine unit is directly exposed to the working conditions of high temperature, high pressure and continuous vibration, which makes the parameter signal monitoring and analysis technology of the unit the most important factor affecting the safety and reliable operation of power generation production, and becomes the most important factor for evaluating the operation of the steam turbine generator set. It is one of the important symbols of the quality of the condition, ...

AI Technical Summary

Problems solved by technology

Obviously, compared with modern high-precision data acquisition technology, this monitoring and analysis technology is relatively backward, which has caused a large amount of data to face the situation of "easy to come, but impossible to start"

[0004] At the same time, the

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