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Tail Deviation’s Predictive Control of the Tandem Rolling Strip based on Manifold Learning
期刊名称:Advanced Engineering Forum
时间:2012
页码:63-68
相关项目:基于多流形学习的旋转机械复合故障智能诊断方法研究
作者:
Guangbin Wang|Yuquan Kong|Ke Wang|
同期刊论文项目
基于多流形学习的旋转机械复合故障智能诊断方法研究
期刊论文 26
专利 1
著作 2
同项目期刊论文
Study of Fault Diagnosis Based On Manifold Learning
Multi-Layer Kernel Learning Method Faced on Roller Bearing Fault Diagnosis
Deviation Mechanism and Correction Control of the Tandem Rolling Strip based on LPP Algorithm
Research on the Diagnosis of Rotor Coupling Fault Based on Wavelet Packet and Local Fisher Discrimin
Fault Diagnosis of Rotating Machinery Based on Homogenized Distance and Supervision Manifold Learnin
基于局部线性嵌入的多流形学习故障诊断方法
Research on the imbalance-crack coupling fault diagnosis based on Wavelet packet and Energy spectrum
Fault Diagnosis of Rotating Machinery Based on Homogenized Distance and Supervised Manifold Learning
Empirical Mode Decomposition Denoising Method based on Autocorrelation and Threshold
A New EEMD De-Noising Method for Rolling Bearing Fault Vibration Signal
Denoising of the Base Vibration Signal based on EEMD
Signal Denoise Method Based on Fractal Dimension, the Higher Order Statistics and Local Tangent Spac
Signal Denoise Method Based on the Higher Order Cumulant and Local Tangent Space Mean Reconstruction