ANFIS for the Fault Pattern Recognition of Electorhydraulic Servo Valve

s:Based on MATLAB Fuzzy Logical Toolbox, this paper clusters the practical sampled data which reflects the work states of electrohydraulic servo valve, gets the rational feature space partition and rule number by using dimensional decrement and fuzzy subtractive clustering algorithm. Consequently,the ANFIS initial structure is identified . On the basis of that, the parameters of the ANFIS is identified by the hybrid algorithm which combines BP algorithm with LSE and the applied ANFIS is created for the fault pattern recognition of electrohydraulic servo valve. Thereby,this effectively solves the problem of its fault variety and uncertainty and realizes the intelligent recognition for the fault patterns of the valve.