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| 1 | On-line chatter detection using servo motor current signal in turning显示文摘Chatter often poses limiting factors on the achievable productivity and is very harmful to machining processes. In order to avoid effectively the harm of cutting chatter,a method of cutting state monitoring based on feed motor current signal is proposed for chatter identification before it has been fully developed. A new data analysis technique,the empirical mode decomposition(EMD),is used to decompose motor current signal into many intrinsic mode functions(IMF) . Some IMF's energy and kurtosis regularly change during the development of the chatter. These IMFs can reflect subtle mutations in current signal. Therefore,the energy index and kurtosis index are used for chatter detection based on those IMFs. Acceleration signal of tool as reference is used to compare with the results from current signal. A support vector machine(SVM) is designed for pattern classification based on the feature vector constituted by energy index and kurtosis index. The intelligent chatter detection system composed of the feature extraction and the SVM has an accuracy rate of above 95% for the identification of cutting state after being trained by experimental data. The results show that it is feasible to monitor and predict the emergence of chatter behavior in machining by using motor current signal. | LIU HongQil CHEN QmgHa LI Bin MAO XinYong MAO KuanMin PENG FangYu | 2011 | Science China(Technological Sciences)2011，54，12： | 15 |
| 2 | Dynamic modeling of hydrostatic guideway considering compressibility and inertia effect显示文摘静水力学的 guideways 被用作一种选择由于高僵硬并且在重机床的高抑制联系轴承。为了改进适用的动态特征,组织,静水力学的 guidway 的动态建模应该精确地被知道。这份报纸就惯性的效果而言论述一个 mass-spring-Maxwell 模型,压榨,压缩的可能性并且静态的适用。决定动态模型系数,在排水量和油电影的动态力量之间的不同诉讼的数字模拟与流畅的代码被执行。当它受到一个小摆动振幅时,模拟结果证明静水力学的 guidway 能作为一个线性系统被拿。基于一个动态模型和数字模拟,每个动态模型参数被 Levenberg-Marquardt 算法计算。鉴定结果证明那个 mass-spring-damper 模型是静水力学的 guidway 的最适当的动态模型。这份报纸为类似的静水力学的轴承的动态模型的分析提供一本参考书和准备。 | Yikang DU Kuanmin MAO Yaming ZHU Fengyun WANG Xiaobo MAO Bin LI | 2015 | Frontiers of Mechanical Engineering2015，10，1： | 6 |
| 3 | Nanoparticle monolayer-based flexible strain gauge with ultrafast dynamic response for acoustic vibration detection显示文摘The relatively poor dynamic response of current flexible strain gauges has prevented their wide adoption in portable electronics. In this work, we present a greatly improved flexible strain gauge, where one strip of Au nanoparticle (NP) monolayer assembled on a polyethylene terephthalate film is utilized as the active unit. The proposed flexible gauge is capable of responding to applied stimuli without detectable hysteresis via electron tunneling between adjacent nanoparticles within the Au NP monolayer. Based on experimental quantification of the time and frequency domain dependence of the electrical resistance of the proposed strain gauge, acoustic vibrations in the frequency range of 1 to 20,000 Hz could be reliably detected. In addition to being used to measure musical tone, audible speech, and creature vocalization, as demonstrated in this study, the ultrafast dynamic response of this flexible strain gauge can be used in a wide range of applications, including miniaturized vibratory sensors, safe entrance guard management systems, and ultrasensitive pressure sensors. | Lizhi Yi Weihong Jiao Ke Wu Lihua Qian Xunxing Yu Qi Xia Kuanmin Mao Songliu Yuan Shuai Wang Yingtao Jiang | 2015 | Nano Research2015，8，9： | 6 |
| 4 | Variable Selection in Logistic Regression Model显示文摘Variable selection is one of the most important problems in pattern recognition. In linear regression model, there are many methods can solve this problem,such as Least absolute shrinkage and selection operator(LASSO) and many improved LASSO methods, but there are few variable selection methods in generalized linear models. We study the variable selection problem in logistic regression model. We propose a new variable selection method – the logistic elastic net, prove that it has grouping effect which means that the strongly correlated predictors tend to be in or out of the model together. The logistic elastic net is particularly useful when the number of predictors(p) is much bigger than the number of observations(n). By contrast, the LASSO is not a very satisfactory variable selection method in the case when p is more larger than n. The advantage and effectiveness of this method are demonstrated by real leukemia data and a simulation study. | ZHANG Shangli ZHANG Lili QIU Kuanmin LU Ying CAI Baigen | 2015 | Chinese Journal of Electronics2015，24，4： | 5 |
| 5 | Stiffness influen- tial factors-based dynamic modeling and its parameter identification method of fixed joints in machine tools显示文摘 | Mao Kuanmin Li Bin Wu Jun | 2010 | International Journal of Machine Tools and Man- ufacture2010，50，2： | 1 |
| 6 | Stiffness In-fluential Factors-based Dynamic Modeling and Its Parameter Identification Method of Fixed Joints in Machine Tools显示文摘 | Mao Kuanmin Li Bin Wu Jun | | 0，，02： | 1 |
| 7 | Stiffness influential factorsbased dynamic modeling and its parameter identification method of fixed joints in machine tools显示文摘 | MAO Kuanmin LI Bin WU Jun | 2010 | Intemational Journal of Machine Tools &Manufacture2010，50，： | 1 |
| 8 | Stiffness influential factors based dynamic modeling and its parameter identification method of fixed joints in machine tools 显示文摘 | MAO Kuanmin LI Bin WU Jun | 2009 | International Journal of Machine Tools and Manufacture2009，50，2： | 1 |
| 9 | Stiffness influential factors-based dynamic modeling and its parameter identification method of fixed joints in machine tools显示文摘 | MAO Kuanmin LI Bin WU Jun | 2010 | International Journal of Machine Tools and Manufacture2010，50，2： | 1 |
| 10 | Stiffness influential factors-based dynamic modeling and its parameter identification method of fixed joints in machine tools显示文摘 | Kuanmin Mao Bin Li Jun Wu Xinyu Shao | 2010 | International Journal of Machine Tools and Manufacture2010，50，2： | 1 |
| 11 | Stiffness influential factors- based dynamic modeling and its parameter identifica- tion method of fixed joints in machine tools显示文摘 | Mao Kuanmin Li Bin | 2010 | International Journal of Machine Tools and Manufacture2010，50，2： | 1 |
| 12 | DEM simulation of particle damping 显示文摘 | MAO Kuanmin Wang Y M XU Zhiwei | 2004 | Powder Technology2004，142，23： | 1 |
| 13 | Modelling the spindle-holder taper joint in machine tools: A tapered ze- ro-thickness finite element method显示文摘 | Xiao Weiwei Mao Kuanmin Zhu Ming | 2014 | Journal of Sound and Vibration2014，333，22： | 1 |
| 14 | Stiffness influ- ential factors-based dynamic modeling and its parame ter identification method of fixed joints in machine tools显示文摘 | Mao Kuanmin Li Bin Wu Jun | 2010 | ELSEVIER International Journal of Machine Tools & Manufacture2010，50，2： | 1 |
| 15 | Stiffness influential factors-based dynamic modeling and its parameter identification method of fixed joints in machine tools显示文摘 | MAO Kuanmin LI Bin WU Jun | 2010 | International Journal of Machine Tools & Manufacture2010，50，2： | 1 |
| 16 | DEM simulation of particle damping显示文摘 | Kuanmin Mao Michael Yu Wang Zhiwei Xu | 2004 | Powder Technonlogy2004，，142： | 1 |
| 17 | A parameterizedmodel of bolted joints in machine tools显示文摘 | LI Hongqi LI Bin MAO Kuanmin | 2014 | InternationalJournal of Acoustics and Vibration2014，19，1： | 1 |
| 18 | DEM simulation of particle damping显示文摘 | Kuanmin Mao Michael Yu Wang Zhiwei Xu Tianning Chen | 2004 | Powder Technology2004，，2： | 1 |
| 19 | Stiffness influential factors-based dynamic modeling and its parameter identification method of fixed joints in machine tools显示文摘 | Mao Kuanmin Li Bin Wu Jun | 2010 | International Journal of Machine Tools and Manufacture2010，50，2： | 1 |
| 20 | Stiffness influential factors-based dynamic modeling and its parameter identification method of fixed joints in machine tools显示文摘 | Mao Kuanmin Li Bin Wu Jun | 2010 | International Journal of Machine Tools & Manufacture2010，50，： | 1 |
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