R
Robert B. Randall
Researcher at University of New South Wales
Publications - 186
Citations - 14149
Robert B. Randall is an academic researcher from University of New South Wales. The author has contributed to research in topics: Vibration & Bearing (mechanical). The author has an hindex of 45, co-authored 178 publications receiving 11367 citations.
Papers
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Journal ArticleDOI
Rolling element bearing diagnostics—A tutorial
Robert B. Randall,Jérôme Antoni +1 more
TL;DR: This tutorial is intended to guide the reader in the diagnostic analysis of acceleration signals from rolling element bearings, in particular in the presence of strong masking signals from other machine components such as gears.
Journal ArticleDOI
Rolling element bearing diagnostics using the Case Western Reserve University data: A benchmark study
Wade A. Smith,Robert B. Randall +1 more
TL;DR: Though intended primarily as a benchmark to aid in testing new diagnostic algorithms, it is also hoped that much of the discussion will have broader applicability to other bearing diagnostics cases.
Journal ArticleDOI
The spectral kurtosis: application to the vibratory surveillance and diagnostics of rotating machines
Jérôme Antoni,Robert B. Randall +1 more
TL;DR: In this article, the spectral kurtosis (SK) was used to detect and characterize nonstationary signals in the presence of strong masking noise and to detect incipient faults in rotating machines.
Book
Vibration-based Condition Monitoring: Industrial, Aerospace and Automotive Applications
TL;DR: In this article, a comprehensive survey of the application of vibration analysis to the condition monitoring of machines is presented, including basic signal processing techniques; fault detection; diagnostic techniques, and prognostics.
Journal ArticleDOI
The relationship between spectral correlation and envelope analysis in the diagnostics of bearing faults and other cyclostationary machine signals
TL;DR: In this article, it was shown that the spectral correlation can be interpreted as a Fourier transform of the average squared envelope of the signal, which is much easier to obtain directly.