STUDY ON THE INTELLIGENT CONTROL OF WORKPIECE DIMENSION ACCURACY BASED ON FUZZY NEURAL NETWORKS

Abstract

Abstract: A new method for on-line intelligent control of workpiece dimension accuracy via fuzzy multilayer perception networks is proposed. With good forecast in time, it is an effective means on the occasions of lack of precise mathematical description or of time delayed and non-linear system. The principle on multilayer perception networks is given, and the three layer perception model and its learning algorithm derived from human knowledge on intelligent control of workpiece dimension accuracy are described. With experimental simulation, the method holds a promise of application.

Key words: Fuzzy sets, Intelligent control, Machining accuracy, Neural networks

Li Xiaoqian;Jiang Xifan;Xue Bingyuan. STUDY ON THE INTELLIGENT CONTROL OF WORKPIECE DIMENSION ACCURACY BASED ON FUZZY NEURAL NETWORKS[J]. , 1996, 32(2): 90-94.

[1]	DENG Jianxin, YUAN Bangyi, HUANG Qiulin, DING Dukun, XIN Manyu, LIU Guangming. Review on the Key Technologies of Complex Surfaces Polishing Based on Robots [J]. Journal of Mechanical Engineering, 2024, 60(7): 1-21.
[2]	DI Zijun, YUAN Dongfeng, LI Dongyang, LIANG Daojun, ZHOU Xiaotian, XIN Miaomiao, CAO Feng, LEI Tengfei. Tool Fault Diagnosis Method Based on Multiscale-efficient Channel Attention Network [J]. Journal of Mechanical Engineering, 2024, 60(6): 82-90.
[3]	DUAN Shuyong, YANG Jianhua, HAN Xu, LIU Guirong. Adaptive Dimensionality Reduction Method for High-dimensional Data [J]. Journal of Mechanical Engineering, 2024, 60(17): 283-296.
[4]	LIU Jianqin, HU Guisong, QIAO Jinli, GUO Xiao. Research on Real-time Performance Prediction of TBM Based on Dual Neural Networks [J]. Journal of Mechanical Engineering, 2024, 60(16): 43-53.
[5]	QIN Yan, KANG Renke, WANG Yidan, SUN Jiansong, DONG Zhigang. Review on Surface Form Accuracy Evaluation Technologies of Honeycomb Core Components [J]. Journal of Mechanical Engineering, 2024, 60(14): 1-10.
[6]	WANG Jun, YANG Yiqing, LIU Jinzhao, SHEN Changqing, HUANG Weiguo, ZHU Zhongkui. Interpretable Intelligent Diagnosis Based on Wavelet Kernel Encoded Spiking Convolutional Neural Networks [J]. Journal of Mechanical Engineering, 2024, 60(12): 41-50.
[7]	WANG Shibin, WANG Shiao, CHEN Xuefeng, HUANG Hai, AN Botao, ZHAO Zhibin, LIU Yongquan, LI Yinghong. Interpretable Network Construction for Intelligent Monitoring and Diagnosis,and Application in Inter-shaft Bearing Diagnosis While Aero-engine Test [J]. Journal of Mechanical Engineering, 2024, 60(12): 90-106.
[8]	WANG Zhenya, LIU Tao, WU Xing. Convolutional Neural Network of Mutual Information Specification and Its Application in Bearing Fault Feature Extraction [J]. Journal of Mechanical Engineering, 2024, 60(12): 137-146.
[9]	ZHANG Xiaojun, WU Yaqi, LIU Haoxue, ZHONG Daofang. Design and Analysis of Wheel-footed Magnetic Adsorption Wall-climbing Robot with Passing Obstacles Capability [J]. Journal of Mechanical Engineering, 2024, 60(1): 248-261.
[10]	LIN Jing, JIAO Jinyang. Research Progress and Challenges of Interpretable Mechanical Intelligent Diagnosis [J]. Journal of Mechanical Engineering, 2023, 59(20): 215-224.
[11]	LIANG Zhongchao, HUANG Zhuo, HU Xing, CHEN Jie. Research on Distance Measurement Using Vehicle Four-point Calibration Based on YOLO Neural Network [J]. Journal of Mechanical Engineering, 2023, 59(10): 226-235.
[12]	Abdelelah Almounajjed, Ashwin Kumar Sahoo, Mani Kant Kumar, Sanjeet Kumar Subudhi. Stator Fault Diagnosis of Induction Motor Based on Discrete Wavelet Analysis and Neural Network Technique [J]. Chinese Journal of Electrical Engineering, 2023, 9(1): 142-157.
[13]	YU Xiaoxia, DENG Lei, TANG Baoping, XIA Yi, LI Qikang. Gear Degradation Trend Prediction by Meta-learning Gated Recurrent Unit Networks under Few Samples [J]. Journal of Mechanical Engineering, 2022, 58(3): 149-156.
[14]	DANG Yuemao, ZHANG Xuechun, XU Chuyi, JIANG Quanyuan. Lithium-ion Battery State of Health Assessment Algorithm Based on DT Curve [J]. Journal of Electrical Engineering, 2022, 17(3): 58-65.
[15]	ZHANG Li, CHEN Jiangtao, XIONG Fenfen, REN Chengkun, LI Chao. Meta-Learning Based Multi-Fidelity Deep Neural Networks Metamodel Method [J]. Journal of Mechanical Engineering, 2022, 58(1): 190-200.

STUDY ON THE INTELLIGENT CONTROL OF WORKPIECE DIMENSION ACCURACY BASED ON FUZZY NEURAL NETWORKS

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments