A Method of Adaptive Neuron Model (AUILS) and its Application
This paper presents an adaptive neuron model utilizing information of heal samples-the AUILS neuron model Differing from traditional neuron models, the AUILS neuron model julfy employs the experience samples information within the local range and -well embodies the association and analogy Junctions of cerebrum. The neural network, which is simple in structure and fast in learning speed, can realize the nonlinear mapping relationship between multi-input and multi-output Through investigating the properties of AUILS and learning algorithm based on gradient, we build a method based on the neuron model for rotary machine fault diagnosis, which takes full advantage of expert experiences to estimate the reliability of fault existing according to the vibration signals of rotary machine in operation. It is verified that using the AUILS model, expert experiences can be well expressed in the diagnosis results.
Neuron Model Fault Diagnostics Rotary Machine.
ZHAI Jun YANG Xiao-Jia CHEN Yan
School of Economics & Management, Dalian Maritime University, P.R.China, 116026
国际会议
Firth IEEE International Conference on Cognitive Informatics(第五届认知信息国际会议)
北京
英文
47-52
2006-07-17（万方平台首次上网日期，不代表论文的发表时间）