مورد إلكتروني
Development of a new signal processing diagnostic tool for vibration signals acquired in transient conditions
| العنوان: | Development of a new signal processing diagnostic tool for vibration signals acquired in transient conditions |
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| المؤلفون: | Chatterton, Steven, Pennacchi, Paolo, Ricci, Roberto, Borghesani, Pietro, Vania, Andrea |
| المصدر: | Chemical Engineering Transactions |
| بيانات النشر: | The Italian Association of Chemical Engineering - AIDIC Servizi S.r.l. 2013 |
| نوع الوثيقة: | Electronic Resource |
| مستخلص: | The diagnostics of mechanical components operating in transient conditions is still an open issue, in both research and industrial field. Indeed, the signal processing techniques developed to analyse stationary data are not applicable or are affected by a loss of effectiveness when applied to signal acquired in transient conditions. In this paper, a suitable and original signal processing tool (named EEMED), which can be used for mechanical component diagnostics in whatever operating condition and noise level, is developed exploiting some data-adaptive techniques such as Empirical Mode Decomposition (EMD), Minimum Entropy Deconvolution (MED) and the analytical approach of the Hilbert transform. The proposed tool is able to supply diagnostic information on the basis of experimental vibrations measured in transient conditions. The tool has been originally developed in order to detect localized faults on bearings installed in high speed train traction equipments and it is more effective to detect a fault in non-stationary conditions than signal processing tools based on spectral kurtosis or envelope analysis, which represent until now the landmark for bearings diagnostics. |
| مصطلحات الفهرس: | Bearings diagnostics, Empirical mode decomposition, Minimum entropy deconvolution, Contribution to Journal |
| URL: | doi:10.3303/CET1333011 Chatterton, Steven, Pennacchi, Paolo, Ricci, Roberto, Borghesani, Pietro, & Vania, Andrea (2013) Development of a new signal processing diagnostic tool for vibration signals acquired in transient conditions. Chemical Engineering Transactions, 33, pp. 61-66. |
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| أرقام أخرى: | ATUTQ oai:eprints.qut.edu.au:220420 Science & Engineering Faculty; School of Chemistry, Physics & Mechanical Engineering 1287980794 |
| المصدر المساهم: | QUEENSLAND UNIV OF TECH From OAIster®, provided by the OCLC Cooperative. |
| رقم الأكسشن: | edsoai.on1287980794 |
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