Based on characteristics of PCA, an inverse PCA is presented which uses twice projection method to realize projecting from principal-component space to fault variable when the fault has occurred.

Application of improved principal component analysis method to mould process monitoring in continuous casting;

The application of principal component analysis on sEMG signals analysis during slips;

A method for truss structural damage detection based on principal component analysis;

Diagnosis for Sensor Faults Based on Principle Component Analysis;

The principle component analysis (PCA) technique is applied to preprocessing high dimensional input variable so that the dimension of input variable is decreased, and an estimator model based on PCAFRBFN is constructed.

In this paper,the principle component analysis(PCA) theory is introduced,and the theory is used for fault diagnosis of lock of actuator.

Gross Error Detection and Proofreading Concentration Based on PCA In the Measurement of Pulverized-Coal Concentration;

Fault Diagnosis of Power Electronic Circuits Based on Wavelet Multi-resolution Analysis and PCA;

The Multivariate Statistical Theory Based on PCA Analysis Applied in Process Monitoring;