The system hardware structure and software design idea are introduced in detail,Taking the vibration signal of main shaft for rotating machinery as an example,the characteristic vectors are extracted and fault forecasting is carried out using wavelet analysis and grey theory.

This paper is based on the feature of neural network and studied the fault forecasting method of oxygen sensor based on neural network.

A fuzzy expert system on the fault forecasting for a self propelled gun is developed using an object oriented approach.

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

Research on system fault prognosis method based on multi-component dynamic damages;

Multi-scale PCA based fault prognosis for industrial processes

Construction of GNNM(3,1) and its application in missile fault prediction;

Design of fault prediction system for monitoring the operation state of watercraft diesel;

Neural network immune ensemble based fault prediction for nonlinear time series;