Algorithm and Simulation of the Feature Extraction for Rotating Machinery Signal in Fault Status

Abstract:

The nonlinear feature of the rotating machinery signal in fault situation was extracted and researched based on the collected the vibration signal. And the extraction algorithm was researched. On the basis of the phase space reconstitution the recurrence plot (RP) algorithm was researched with the nonlinear time series analysis method. The inner feature of the recurrence plots was analyzed quantitatively, the feature called recurrence rate was extracted finally. Simulation result shows that the extracted feature has the function and property diagnosis of the machinery faults based on the RP and recurrence quantification analysis (RQA) methods and also with nice engineering application value.

• Periodical: Applied Mechanics and Materials (Volumes 380-384)
• Pages: 1055-1058
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.380-384.1055
• Online since: August 2013
• Authors: Jun Qi, Xiao Lan Fu
• Keywords: Feature Extraction, Machinery, Nonlinear

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