Mechanical and Electrical Engineering |
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Faults diagnosis and classification based on fault-tolerant theory for continuously variable transmission |
HAN Ling, LU Yan hui, AN Ying, TIAN Li yuan |
1. School of Mechatronic Engineering, Changchun University of Technology, Changchun 130021, China;
2. College of Automotive Engineering, Jilin University, Changchun 130022, China;
3. College of Automotive Engineering, Hunan University, Changsha 410000, China |
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Abstract The fault vectors were extracted by feature extraction of continuously variable transmission (CVT) based on the improved artificial colony algorithm combining with least squares support vector machine in order to fulfill the requirements about on-line fault diagnosis and classification of CVT. The fault predicting models of clamping force and ratio were established. The faults location and identification classification were based on predicting models. Parts of fault feature vectors for second cylinder pressure, ratio, and actuator were extracted to simulation by Matlab. The classification of feature vectors after the fault-tolerant controlled was analyzed by simulation curve change trend. CVT was built hardware-in-the-loop simulation by fault-tolerant with Matlab/Simulink. Results showed that the probability of continue working reached 98.728% by using the method for fault-CVT, and the needs of CVT reliability and stability for the online fault diagnosis were meeted.
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Published: 28 October 2016
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基于容错理论无级变速器故障诊断分类
为了实现无级变速器(CVT)在线故障诊断及分类需求,基于改进人工蜂群算法结合最小二乘向量机,提取无级变速器故障特征向量,建立夹紧力与速比故障预测模型,按照预测模型进行故障定位、分类辨识.针对从动油缸压力、速比、执行机构等故障的特征向量进行Matlab仿真,分析经容错控制分类后的故障特征向量仿真曲线变化趋势.通过容错控制在Matlab/Simulink中建立无级变速器硬件在环仿真动态模型.结果说明,采用该方法,无级变速器故障诊断经容错可继续工作概率达98.728%,满足无级变速器在线故障诊断可靠性及稳定性的需求.
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[1] 韩玲.无级变速器电液控制系统关键技术研究[D].吉林:吉林大学,2015.
HAN Ling. Research on the key technology of the electrichydraulic system of continuously variable transmission [D]. Jilin: Jilin University, 2015.
[2] 田承伟,宗长富,王翔,等.线控转向汽车传感器的容错控制[J].吉林大学学报:工学版,2010,40(1): 6-12.
TIAN Chengwei, ZONG Changfu, WANG Xiang, et al. Sensor fault tolerance control method for steerbywire car [J]. Journal of Jilin University: Engineering and Technology, 2010, 40(1): 6-12.
[3] 杨柳青,陈无畏,张荣芸,等.基于控制律重组的汽车主动悬架容错控制与试验[J].农业机械学报,2013,44(10): 19.
YANG Liuqing, CHEN Wuwei, ZHANG Rongyun, et al. Faulttolerant control and experiment on vehicle semiactive suspension system based on control law reconfiguration [J]. Transactions of the Chinese Society for Agricultural Machinery, 2013, 44(10): 19.
[4] 宗长富,李刚,郑宏宇,等.线控汽车底盘控制技术研究进展及展望[J].中国公路学报,2013,26(02): 160-176.
ZONG Changfu, LI Gang, ZHENG Hongyu, et al. Study progress and outlook of chassis control technology for Xbywire automobile [J]. China Journal of Highway and Transport, 2013, 26(02): 160-176.
[5] ATAUR R, SAZZAD B, AKM M, et al. Energy efficient electromagnetic actuated CVT system [J]. Journal of Mechanical Science and Technology, 2014, 28(4): 1153-1160.
[6] AKEHURST S, VAUGHAN N D, PARKER D A, et al. Modeling of loss mechanisms in a pushing metal Vbelt continuously variable transmission. Part2: pulley deflection losses and total torque loss validation [J]. Proceedings of Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 2004, 218(11): 1283-1293.
[7] 王国芳,方舟,李平.基于批量递归最小二乘的自然Actorcritic算法[J].浙江大学学报:工学版,2015,49(07): 1335-1342.
WANG Guofang, FANG Zhou, LI Ping. Natural actorcritic based on batch recursive leastsquares [J]. Journal of Zhejiang University: Engineering Science, 2015, 49(07): 1335-1342.
[8] 陈昌富,龚晓南,王贻荪.自适应蚁群算法及其在边坡工程中的应用[J].浙江大学学报:工学版,2003, 37(10): 70-73.
CHEN Changfu, GONG Xiaonan, WANG Yisun.Adaptive colony algorithm and its application to the slope engineering [J]. Journal of Zhejiang University: Engineering Science, 2003, 37(10): 70-73.
[9] 刘路,王太勇.基于人工蜂群算法的支持向量机优化[J].天津大学学报:2011,44(09): 803-809.
LIU Lu, WANG Taiyong. Support vector machine optimization based on artificial bee colony algorithm [J]. Journal of Tianjin University, 2011, 44(09): 803-809.
[10] 李鑫滨,陈云强,张淑清.基于改进ABC算法优化的LSSVM多分类器组机械故障诊断模型[J].中国机械工程,2013, 24(16): 2157-2163.
LI Xinbin, CHEN Yunqiang, ZHANG Shuqing. Mechanical fault diagnosis model based on IABC algorithm optimized multiple Lssvm classifier group [J]. China Mechanical Engineering, 2013, 24(16):2157-2163.
[11] 岳云力. 基于改进人工蜂群算法的机组组合优化方法[D].杭州:浙江大学,2012.
YUE Yunli. Method of unit commitment based on an improved artificial bees colony algorithm [D]. Hangzhou: Zhejiang University, 2012.
[12] 张伟.人工蜂群混合优化算法及应用研究[D].杭州: 浙江大学,2013.
ZHANG Wei. Research on artificial bee colony based hybrid optimization algorithms and applications [D]. Hangzhou: Zhejiang University, 2013.
[13] KOBAYASHI D, MABUCHI Y, KATOH Y. A study on the torque capacity of a metal pushing Vbelt for CVT [J]. SAE Transactions, 1998, 2(8): 31-39.
[14] RAYMOND F W, KATHERINE M R. CVT lubrication: the effect of lubricants on the frictional characteristics of the beltpulley interface [J]. Tribo Test, 2006, 6(2): 151-170.
[15] SUN J D, FU W Y, LEI H, et al. Rotational swash plate pulse continuously variable transmission based on helical gear axial meshing transmission [J]. Springer Journal, 2012, 6(04): 1138-1142.
[16] SAZZAD B S, HOWWAIN A. Kinematics and nonlinear control of electromagnetic actuated CVT system [J]. Journal of Mechanical, Science and Technology, 2012, 26(07): 2189-2196. |
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