Failure prediction method based on ICA reconstruction

Abstract

The invention discloses a failure prediction method based on ICA reconstruction, which includes the following steps: step 1, calculating a separative matrix W; step 2, calculating the statistic value I<2>(k), SPE(k) or I<2>e(k) of the real-time data Xnew(k) through adopting the formulas I<2>(k)=S'newd(k)<T> S'newd(k), I<2>e=S'newe(k)<T>*S'newe(k), SPE(k)=(xnew(k)-x'new(k))<T>*(xnew(k)-x'new(k)), S'newd(k)=Wd*xnew(k), and S'newe(k)=We*xnew(k), wherein Wd refers to the matrix formed by the lines expect the first d lines of the separative matrix W, We refers to the matrix formed by the lines except the first d lines of the separative matrix W, and X'new(k)=Q<-1>BdWd*xnew(k), Bd=(WdQ<-1>)<T>, Be=(WeQ<-1>)<T>, and Q refers to a whitening matrix; and step 3, calculating the nuclear density of I<2>(k), SPE(k) or I<2>e(k), and detecting failures as per the control limit. The method provided by the invention solves the problem that the traditional flue gas turbine prediction method can not utilize the multidimensional valid data, takes the multi-channel vibration data into consideration, can be used for directly predicating failures, and improves the prediction accuracy compared with the PCA reconstruction method.

Description

technical field [0001] The invention relates to the field of fault prediction, in particular to a fault prediction method based on Independent Element Analysis (ICA) reconstruction. Background technique [0002] Rotating machinery is the most widely used type of mechanical equipment in industry. The core equipment of many enterprises, such as large-scale high-speed compressors and steam turbines, which are widely used in petrochemical, electric power and other pillar industries, are all rotating machinery. Rotating machinery often has various types of faults that affect its normal work, and sometimes even cause accidents due to certain faults. Once an accident occurs, it will cause a chain reaction and the damage is immeasurable. In the worst case, it will affect production efficiency, and in severe cases, it will lead to equipment shutdown and production interruption, resulting in the failure of normal operation or even paralysis of the entire production process, or even ca...

AI Technical Summary

Problems solved by technology

At present, the research on fault prediction methods based on multivariate data has just started at home and abroad, and the results are relatively few.

Images