@inproceedings{b9f918f6877242d3a5014756d7df5036,
title = "Complexity measure: A nonlinear time series analysis technique for machine health monitoring",
abstract = "This paper presents a non-linear time series analysis technique for machine health monitoring, based on the complexity measure. As a statistical parameter, the complexity measure quantifies the randomness or regularity of a time series. After introducing the theoretical framework, numerical simulation of an analytic signal, which is mathematically formulated through a pair of Fourier transform and inverse Fourier transform operations on a measured vibration signal from a rolling bearing, is presented to quantitatively establish the relationship between the severity of signal degradation and the complexity values. The simulation results are then evaluated through experimental study of vibration signals measured during a bearing's run-to-failure test. It has shown that the complexity measure provides an effective technique for monitoring machine health status.",
author = "R. Yan and Gao, \{R. X.\}",
year = "2007",
language = "英语",
series = "Structural Health Monitoring 2007: Quantification, Validation, and Implementation - Proceedings of the 6th International Workshop on Structural Health Monitoring, IWSHM 2007",
publisher = "DEStech Publications",
pages = "1291--1298",
editor = "Fu-Kuo Chang",
booktitle = "Structural Health Monitoring 2007",
note = "6th International Workshop on Structural Health Monitoring: Quantification, Validation, and Implementation, IWSHM 2007 ; Conference date: 11-09-2007 Through 13-09-2007",
}