柴油机活塞环胶结信息的符号李指数含噪辨识  

Identification of Information of Diesel Piston Ring Sticking with Noise Based on Symbolic-Lyapunov Index

作　　者：张雨[1,2] 

机构地区：[1]南京工程学院车辆工程系,江苏南京211167 [2]东南大学交通学院,江苏南京210096

出　　处：《内燃机学报》2010年第1期90-95,共6页Transactions of Csice

基　　金：国家自然科学基金资助项目(50176006);江苏省"六大人才高峰"资助项目(07-D-014);江苏省高校自然科学基础研究项目(07KJD580084)

摘　　要：噪声属于系统状态信息,故可利用信号含噪程度的差异分辨系统状态。由信号的时间序列获得符号概率序列后,对其构建了能够反映信号含噪程度的符号混沌特征族,包括符号熵、符号K熵、符号关联维和符号李指数4个参数。将符号混沌特征族中的符号熵和符号李指数用于辨识差异性甚微但具有不同活塞环胶结状态的一组柴油机机身振动强噪信号,结果表明,较之符号熵,采用符号李指数能够更加显著地分辨信号差异。因此,符号李指数能够用于辨识柴油机不同的活塞环胶结状态。As noise is the information of system state, the noise degree of signal can be used to distinguish the state from the difference of noise. After obtaining the symbolic probability series from the time series of signal, the symbol-chaos characteristics, which can express the noise degree of signal, are constructed by four parameters. They are, the symbolic-entropy, the symbolic-Kolmogrov entropy, the symbolic-correlation dimension and the symbolic-Lyapunov index. The symbolic-entropy and symbolic-Lyapunov index of symbol-chaos characteristics are used to identify a set of diesel block vibration signal with strong noise that are with weenie otherness and in the different condition of piston ring sticking. The results show that the symbolic-Lyapunov index can distinguish the difference of signal more clearly than the symbolic-entropy. The symbolic-Lyapunov index can be used to identify the different condition of piston ring sticking of diesel.

关 键 词：符号混沌特征族 符号李指数 强噪声 柴油机机身振动 活塞环胶结 

分 类 号：TK428[动力工程及工程热物理—动力机械及工程]