Application of recurrence dynamic analysis to running-in state recognition

Purpose The purpose of this paper is to study the dynamic features of friction coefficient during running-in state based on recurrence analysis, so as to recognize the running-in state of crankshaft journal bearings. Design/methodology/approach The friction coefficient was measured in the friction experiments and the dynamic features are analyzed by recurrence plots (RPs), unthreshold recurrence plots (URPs) and recurrence quantification analysis. Findings During the running-in process, RPs have gone through disrupted patterns, drift patterns and homogeneous patterns successively. URP shows that the phase trajectory spirals in the disrupted pattern gradually converge in the drift pattern and remain stable in the homogeneous pattern. Three independent measures, recurrence rate, entropy and laminarity, are chosen to characterize friction coefficient from the perspective of point, diagonal line and vertical line structures of the RPs. Originality/value The results provide a feasible way to monitor the running-in process and recognize the running-in state.

Automated summary

This paper studies the dynamic features of friction coefficient during running-in state using recurrence analysis to recognize the running-in state of crankshaft journal bearings. The results show different patterns in recurrence plots during the running-in process and the evolution of phase trajectory in unthreshold recurrence plots, with three independent measures used to characterize the friction coefficient.