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Shock and Vibration
Volume 2016 (2016), Article ID 5710152, 10 pages
http://dx.doi.org/10.1155/2016/5710152
Research Article

Research on a Rotating Machinery Fault Prognosis Method Using Three-Dimensional Spatial Representations

1School of Mechanical Engineering, Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System, Xi’an Jiaotong University, Xi’an, China
2Xi’an Siyuan University, Xi’an, China

Received 20 June 2016; Revised 11 September 2016; Accepted 18 October 2016

Academic Editor: Matteo Aureli

Copyright © 2016 Xiaoni Dong et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Process models and parameters are two critical steps for fault prognosis in the operation of rotating machinery. Due to the requirement for a short and rapid response, it is important to study robust sensor data representation schemes. However, the conventional holospectrum defined by one-dimensional or two-dimensional methods does not sufficiently present this information in both the frequency and time domains. To supply a complete holospectrum model, a new three-dimensional spatial representation method is proposed. This method integrates improved three-dimensional (3D) holospectra and 3D filtered orbits, leading to the integration of radial and axial vibration features in one bearing section. The results from simulation and experimental analysis on a complex compressor show that the proposed method can present the real operational status and clearly reveal early faults, thus demonstrating great potential for condition-based maintenance prediction in industrial machinery.