Research of Motor Fault Diagnosis Based on Small-world Fuzzy Associative Memory Model
Qian Zhang · Large Electric Machine and Hydraulic Turbine · 2015
This paper presents a small-world fuzzy associative memory model which is associated small-world complex networks with neural networks. Firstly, the model is designed weight of associative memory with pseudo inverse method. Secondly, the fuzzy membership of weight is calculated. Finally, a small-world complex networks model is constructed with dynamic method.Fault diagnosis of motor is studied and simulated with the new model and algorithm, the result shows the optimal performanceof of pattern memory and associative memory.