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

Transformer fault prediction using new grey prediction model;

The research of a fault prediction method of the electronic equipment of a type of missle based on the combined prediction model;

SPM-based online fault prediction approach for multivariate continuous processes;

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

Supposing that system fault evolution process is expressed by a state space model with unknown slow time-variant parameters,then the fault prognostics can be formulated as a problem of estimating model states for some future time while knowing all the information about system till time step now.

Some important issues related to fault prognostics including its definition,functionality,algorithmic approaches,difficulties and proposed future work are discussed.

Based on fuzzy mathematics fault forecast of intelligent roller;

A New Fault Forecast Algorithm Based on Dynamic Fuzzy Comprehensive Evaluation Method;

Dynamic Fuzzy Synthetic Judgement Method and Its Application in Fault Forecast;