This study demonstrates how a time domain data based non-linear approach known as Stochastic Resonance (SR) can be effectively used for fault detection in spur gearboxes. SR has just been used recently for fault diagnosis in mechanical systems with a focus on faulty systems. This paper examines the behaviour of SR when it is applied to healthy systems, in particular a healthy gearbox and explores approaches like residual signal and filtered signal computations to aid in the containment of false alarms while improving overall results. Although SR is a time domain procedure, its results also extend to the frequency domain
ON THE USE OF STOCHASTIC RESONANCE FOR FAULT DETECTION IN SPUR GEARBOXES / Mba, CLEMENT UCHECHUKWU; Marchesiello, Stefano; Fasana, Alessandro; Garibaldi, Luigi. - In: DIAGNOSTYKA. - ISSN 1641-6414. - ELETTRONICO. - 18:3(2017), pp. 3-13.
ON THE USE OF STOCHASTIC RESONANCE FOR FAULT DETECTION IN SPUR GEARBOXES
MBA, CLEMENT UCHECHUKWU;MARCHESIELLO, STEFANO;FASANA, ALESSANDRO;GARIBALDI, Luigi
2017
Abstract
This study demonstrates how a time domain data based non-linear approach known as Stochastic Resonance (SR) can be effectively used for fault detection in spur gearboxes. SR has just been used recently for fault diagnosis in mechanical systems with a focus on faulty systems. This paper examines the behaviour of SR when it is applied to healthy systems, in particular a healthy gearbox and explores approaches like residual signal and filtered signal computations to aid in the containment of false alarms while improving overall results. Although SR is a time domain procedure, its results also extend to the frequency domainFile | Dimensione | Formato | |
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https://hdl.handle.net/11583/2676406