PDF | Vibration condition monitoring of low-speed rotational slewing bearings is essential ever since it became necessary for a proper maintenance schedule that replaces the slewing bearings installed in massive machinery in the steel industry, among other ...
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An application of nonlinear feature extraction – a case study for low speed slewing bearing condition monitoring and prognosis Abstract This paper presents the application of four nonlinear methods of feature extraction in slewing bearing condition monitoring and ...
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In many applications, degradation of bearing conditions is usually monitored by changes in time-domain features. However, in low speed (< 10 rpm) slewing bearing, these changes are not easily detected because of the low energy and low frequency of the vibration.
Condition monitoring of slow speed slewing bearing based on largest lyapunov exponent algorithm and circular-domain feature extractions Abstract This paper presents a combined nonlinear and circular features extraction-based condition monitoring method for low ...
The vibration signal of large slewing bearing was decomposed into different frequency bands by wavelet decomposition. ... Tieu A. K., Moodie C. A. S. Circular domain features based condition monitoring for low speed slewing bearing. Mechanical Systems and ...
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Vibration condition monitoring of low-speed rotational slewing bearings is essential ever since it became necessary for a proper maintenance schedule that replaces the slewing bearings installed in massive machinery in the steel industry, among other applications.
The vibration data of the laboratory slewing bearing test-rig run at 1 rpm was acquired daily from February ... P., Tieu, A. K. & Moodie, C. (2013). An application of nonlinear feature extraction – a case study for low speed slewing bearing condition monitoring and ...
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