欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
针对定性定量间转化的模糊性。并且为避免小波网络陷入局部极小，将云模型、遗传算法和小波神经网络相结合，不但得到了最优网络参数，还提升了模糊问题的辨识精度。通过对燃机发电机继电保护的故障诊断，仿真实验验证了这种新方法对机械电气保护故障诊断的有效性。
英文摘要：
Aiming at the fuzziness between qualitative and quantitative transformation, to avoid the wavelet network trapped in local minimum, combining the cloud model, genetic algorithm with wavelet neural network could not only get the optimal network parameter, but also improve the identification accuracy of the fuzzy problems. Based on the fault diagnosis of the gas turbine generator relay protection, the simulation experiment shows that the new method is effective in the fault diagnosis of mechanical and electrical protection.
同期刊论文项目
同项目期刊论文
Design of test stimuli and minimisation of ambiguity in fault diagnosis of analogue circuits with to
Nonlinear correction of photoelectric displacement sensor based on least square support vector machi
A Novel Localization Algorithm Based on Isomap and Partial Least Squares for Wireless Sensor Network
Analysis of Electromagnetic Force Distribution on End winding of Electrical Submersible Motor During
EFFECT OF GRAIN BOUNDARY ON THE CHARACTERISTICS OF POLY-SI METAL-INSULATOR-SEMICONDUCTOR PHOTODETECT
Minimum Component High Frequency Gm-C Wavelet Filters based on Maclaurin Series and Multiple Loop Fe
期刊信息
位置：