Radar fault diagnosis with the adaptive fuzzy Petri net;

Improvement in fault diagnosis of transmission networks using fuzzy Petri nets;

Diagnosis method of automobile faults based on fuzzy Petri net;

Study on knowledge expression of train expert control system based on framework based and fuzzy petri net;

Application of fuzzy Petri nets in hydraulic synchronizing system fault diagnosis;

Coordination control for complex system based on fuzzy Petri nets;

In terms of the concurrence of the faults and the fuzziness of the fault diagnosis,a model of fuzzy Petri nets(FPN) for fault diagnosis is proposed in this paper.

Genetic Algorithm was originally introduced into the procedure of exploring the parameters of FPN and an exploring algorithm based on GA was proposed.

Fuzzy Petri Net(FPN) widely used in fault diagnosis is regarded as tool of model building,knowledge presentation,diagnosis and reasoning of rule-production system.

Studies on prediction of standard entropy of cations by using adaptive fuzzy neural network;

Studies on prediction of the stabilities of metal-HEDTA complex by using adaptive fuzzy neural network;

This system predicts the thickness error according to errors between predicted rolling forces and measured ones by applying adaptive networks based fuzzy inference system (ANFIS),and then adjusts the gaps of downstream stands dynamically.

This article utilizes the character of Gray Theory to predict the economy parameter,and then in order to obtain a better predicting effect,the ANFIS is employed to predict its simulating error.

This article holds the purpose that,by using ANFIS,the eccentricity framework structure under the multi-dimensional earthquake excitation will be controlled,and the controlling force will be mount out through that made ANFIS being the controlling device and inputs the velocity and acceleration.