Analysis of System Signals Based on Cross Recurrence Method for System Dynamics Characterization

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Analysis of System Signals Based on Cross Recurrence Method for System Dynamics Characterization

Show simple item record Jacob, Elias Dr.Narayanan Namboothiri, V N 2013-10-29T08:33:13Z 2013-10-29T08:33:13Z 2011-11-03
dc.description Division of Mechanical Engineering,School of Engineering, Cochin University of Science and Technology en_US
dc.description.abstract Natural systems are inherently non linear. Recurrent behaviours are typical of natural systems. Recurrence is a fundamental property of non linear dynamical systems which can be exploited to characterize the system behaviour effectively. Cross recurrence based analysis of sensor signals from non linear dynamical system is presented in this thesis. The mutual dependency among relatively independent components of a system is referred as coupling. The analysis is done for a mechanically coupled system specifically designed for conducting experiment. Further, cross recurrence method is extended to the actual machining process in a lathe to characterize the chatter during turning. The result is verified by permutation entropy method. Conventional linear methods or models are incapable of capturing the critical and strange behaviours associated with the dynamical process. Hence any effective feature extraction methodologies should invariably gather information thorough nonlinear time series analysis. The sensor signals from the dynamical system normally contain noise and non stationarity. In an effort to get over these two issues to the maximum possible extent, this work adopts the cross recurrence quantification analysis (CRQA) methodology since it is found to be robust against noise and stationarity in the signals. The study reveals that the CRQA is capable of characterizing even weak coupling among system signals. It also divulges the dependence of certain CRQA variables like percent determinism, percent recurrence and entropy to chatter unambiguously. The surrogate data test shows that the results obtained by CRQA are the true properties of the temporal evolution of the dynamics and contain a degree of deterministic structure. The results are verified using permutation entropy (PE) to detect the onset of chatter from the time series. The present study ascertains that this CRP based methodology is capable of recognizing the transition from regular cutting to the chatter cutting irrespective of the machining parameters or work piece material. The results establish this methodology to be feasible for detection of chatter in metal cutting operation in a lathe. en_US
dc.description.sponsorship Cochin University of Science and Technology en_US
dc.language.iso en en_US
dc.publisher Cochin University of Science and Technology en_US
dc.subject System Signals en_US
dc.subject Phase Space Trajectories en_US
dc.subject Neighbourhood Threshold en_US
dc.subject Coupled oscillator system en_US
dc.subject Data acquisition system en_US
dc.title Analysis of System Signals Based on Cross Recurrence Method for System Dynamics Characterization en_US
dc.type Thesis en_US

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