Application of rough sets theory in flame image processing and state recognition;

Equipment degradation state recognition and fault prognosis method based on wavelet correlation feature scale entropy and HSMM;

Research on equipment degradation state recognition and fault prognostics method based on KPCA-Hidden Semi-Markov Model

Also, the process of the experiment and the method of mode identification are discussed in details.

Research on Cutting Status Recognition Based on Wavelet packets and Hidden Markov Model;

Human status recognition method for the life detection radarbased on the harmonic model;

For milling-cutter-status recognition,in order to well fit training sample data,the algorithm of integrating linear machine and rough set is applied.

Equipment condition recognition with multi-category support vector machine in wireless sensor networks;

Machine condition recognition based on kernel principal component analysis;

The research for tribology by system method and the condition recognition for the tribology system;

The main characteristics of condition identification for free span(CIFS) are discussed firstly.