Fifth International Conference on Intelligent Control and Information Processing最新文献_第7页

Attitude estimation of crane hook based on adaptive complementary filter with outlier rejection 基于离群值抑制的自适应互补滤波器的起重机吊钩姿态估计

Fifth International Conference on Intelligent Control and Information Processing Pub Date : 2014-08-01 DOI: 10.1109/ICICIP.2014.7010308

S. Du, Yuanbo Guo, Xiaohua Zhang

引用次数: 2

Bearing defect diagnosis based on harmonic wavelet transform and singular value ratio spectrum 基于谐波小波变换和奇异值比谱的轴承缺陷诊断

Fifth International Conference on Intelligent Control and Information Processing Pub Date : 2014-08-01 DOI: 10.1109/ICICIP.2014.7010334

Hou Zhefei, Wang Yunpeng, K. Yong

引用次数: 0

Fault diagnosis for rolling bearing early fault based on standardization transformation stochastic resonance 基于标准化变换随机共振的滚动轴承早期故障诊断

Fifth International Conference on Intelligent Control and Information Processing Pub Date : 2014-08-01 DOI: 10.1109/ICICIP.2014.7010309

Ming-Ming Zhu, L. Jia, Xiukun Wei

{"title":"Fault diagnosis for rolling bearing early fault based on standardization transformation stochastic resonance","authors":"Ming-Ming Zhu, L. Jia, Xiukun Wei","doi":"10.1109/ICICIP.2014.7010309","DOIUrl":"https://doi.org/10.1109/ICICIP.2014.7010309","url":null,"abstract":"It is very hard to detect the early fault of rolling bearing with classical methods when the fault signal energy is too low and the noise is too strong. Stochastic resonance (SR) theory is a method to enhance the weak signal submerged in strong noise. But classic SR is hard applied to practice for large parameters problem. The existing large parameter stochastic resonance models (LPSR) need either high sampling frequency or long sampling data length. A novel method named standardization transformation stochastic resonance (STSR) is proposed in this paper to solve the large parameter problem with low sampling frequency and short sampling data length. The proposed STSR is compared with other two LPSR models by simulation. A novel fault diagnosis for rolling bearing early fault based on STSR is also proposed in this paper. It is applied to detecting the early fault of a deep groove ball rolling bearing successfully. The practical application and the contrast between the other two LPSR methods verify the effectiveness of fault diagnosis for rolling bearing early fault based on STSR.","PeriodicalId":408041,"journal":{"name":"Fifth International Conference on Intelligent Control and Information Processing","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123849459","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Propagation model and communication link equation of the UWB based outer space satellite formation 基于超宽带的外太空卫星编队传播模型及通信链路方程

Fifth International Conference on Intelligent Control and Information Processing Pub Date : 2014-08-01 DOI: 10.1109/ICICIP.2014.7010350

Xiaofeng Tao, Meihang Chen, Xiongfei Li, Jianchao Ji, Xiaohui Liu

引用次数: 0

The diagnosis method for induction motor bearing fault based on Volterra series 基于Volterra系列的感应电机轴承故障诊断方法

Fifth International Conference on Intelligent Control and Information Processing Pub Date : 2014-08-01 DOI: 10.1109/ICICIP.2014.7010270

Changqing Xu, C. Qiu, Meng Xia, G. Cheng, Z. Xue

{"title":"The diagnosis method for induction motor bearing fault based on Volterra series","authors":"Changqing Xu, C. Qiu, Meng Xia, G. Cheng, Z. Xue","doi":"10.1109/ICICIP.2014.7010270","DOIUrl":"https://doi.org/10.1109/ICICIP.2014.7010270","url":null,"abstract":"A new method for identifying induction motor bearing fault is introduced in this paper, it's based on the Volterra series which can describe the nonlinear transfer characteristics of system. Firstly, analyze the theory that bearing fault can cause torque vibration, and the simplify equation of stator current and voltage on bearing fault state is derived. The stator voltage and current signals are used as the input and output of Volterra series, then adaptive chaotic quantum particle swarm optimization (ACQPSO) is introduced for the identification of Volterra series time-domain kernel, and the bearing fault can be identified by the changes of nonlinear transfer characteristics. In order to validate the method, the induction motor bearing fault simulated test system is established in the lab to simulate the single point damage of bearing outer race which gradually expand; through the extraction of the changes of the kernel, the bearing fault and its severity can be identified. Thus verified the feasibility and effectiveness of the proposed method, the method is suitable for the prediction of the trends of bearing fault.","PeriodicalId":408041,"journal":{"name":"Fifth International Conference on Intelligent Control and Information Processing","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114675963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A new stability condition for discrete time linear threshold recurrent neural networks 离散时间线性阈值递归神经网络的一个新的稳定性条件

Fifth International Conference on Intelligent Control and Information Processing Pub Date : 2014-08-01 DOI: 10.1109/ICICIP.2014.7010321

Wei Zhou, J. Zurada

引用次数: 3

Research on the current feature of induction motor bearing fault based on phase modulation 基于相位调制的感应电机轴承故障电流特征研究

Fifth International Conference on Intelligent Control and Information Processing Pub Date : 2014-08-01 DOI: 10.1109/ICICIP.2014.7010336

Xinbo Wu, C. Qiu, Meng Xia, G. Cheng, Z. Xue

引用次数: 4

Adaptive neural network fault-tolerant control for a class of nonlinear systems 一类非线性系统的自适应神经网络容错控制

Fifth International Conference on Intelligent Control and Information Processing Pub Date : 2014-08-01 DOI: 10.1109/ICICIP.2014.7010337

Ke Qi

引用次数: 1

Adaptive FNN dynamic surface control for MIMO pure-feedback nonlinear systems with unknown backlash-like hysteresis 具有未知类逆激滞后的多输入多输出纯反馈非线性系统的自适应FNN动态表面控制

Fifth International Conference on Intelligent Control and Information Processing Pub Date : 2014-08-01 DOI: 10.1109/ICICIP.2014.7010282

Yong-ming Li, Tie-shan Li

引用次数: 1

Active disturbance rejection control of servo platform using improved nonlinear control law 基于改进非线性控制律的伺服平台自抗扰控制

Fifth International Conference on Intelligent Control and Information Processing Pub Date : 2014-08-01 DOI: 10.1109/ICICIP.2014.7010348

Hang Zhang

引用次数: 0