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Chatter marks yankeeGasparic, Vibration analysis identifies the cause of mill chatter, AISE Year Book, 1991 27—29. A series of vibration measurements during normal operation at chatter marks yankee Yankee speeds on both the creping and the cleaning blade holders have been carried out. The analysis in a frequency range up to 20 kHz has permitted to identify speed dependent frequency peaks and broadband high frequency vibration content on the creping zone. Hence, an experimental modal analysis of the creping blade and holder has been carried out with the machine stopped to identify its natural frequencies. Numerical simulation and experimental results show that the proposed method has better recognition capability than traditional spectrum analysis. The method overcomes the limitation of traditional spectrum analysis, which is sensitive to working conditions. Hoshi, Stability of high frequency machining vibration by chatter marks yankee chatter model, Precision Engineering, 26 2 2002 204—213. Lee, Optimal contact design and allowable limit on spindle assembly of aluminum hot rolling process, Journal of Mechanical Science and Technology, 22 2008 240—246. Recommended by Associate Editor Cheolung Cheong Yimin Shao received the Ph. As a result, resonance conditions have been identified due to the gearbox excitation originated by the meshing process. Xiao Deng is a Master Degree Student at State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing, China. Ningbo Baoxin Stainless Steel Co.Egusquiza, Analysis of chatter marks damage on the Yankee dryer surface of a tissue machine, Engineering Failure Analysis, 23 2012 44—54. Bar, Types of mid-frequency vibrations appearing during the rolling mill operation, Journal of Materials Processing Technology, 162—163 2005 461—464. A novel characteristic recognition method of chatter mark vibration, where the non-dimensional parameters are calculated with time varying signals and kurtosis under normal rolling mill operating conditions, is presented in this paper. Zaigang Chen is a Ph. Lee, Experimental study for roll gap adjustment due to roll wear in singlestand rolling and multi-stand rolling test, Journal of Mechanical Science and Technology, 22 2008 937—945.J Mech Chatter marks yankee Technol 2014 28: 2075. Zhong, Analysis of torsion selfexcited vibration in rolling mill, His research interests include mechanical fault diagnosis, signal process and pattern recognition. A novel characteristic recognition method of chatter mark vibration, where the non-dimensional parameters are calculated with time varying signals and kurtosis under normal rolling mill operating conditions, is presented in this paper. The method overcomes the limitation of traditional spectrum analysis, which is sensitive to working conditions. As a result, resonance conditions have been identified due to the gearbox excitation originated by the meshing process. He received his BSc degree from the University of Guelph, Canada, and his Ph. Ningbo Baoxin Stainless Steel Co. Yilin Yuan is an Engineer at the Ningbo Baoxin Stainless Steel Co.Chatter marks yankeeShin, Fault diagnosis of roll shape under the speed variation in hot ort mill, Journal of Mechanical Science and Technology KSME Int. Randall, The spectral kurtosis: Application to the vibratory surveillance and diagnostics of rotating machines, Mechanical Systems and Signal Processing, 20 2 2006 308—331. As a result, resonance conditions have been met due to the gearbox excitation originated by the meshing process. Ningbo Baoxin Stainless Steel Co. Yilin Yuan is an North at the Ningbo Baoxin Stainless Steel Co. His research interests include vibration based machine condition monitoring and fault jesus, maintenance and reliability, machine dynamic analysis, biomechanics of artificial limbs, vibration and noise reduction in and around biomedical and industrial equipment.Yilin Yuan is an Engineer at the Ningbo Baoxin Stainless Steel Co. The study of the corresponding mode shapes has permitted to understand the vibration behavior and its relationship with the damage. Numerical simulation and experimental results show that the proposed method has better recognition capability than traditional spectrum analysis.

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October 2017