Szczegóły publikacji

Opis bibliograficzny

Validation of vibration measurements for heavy duty machinery diagnostics / A. JABŁOŃSKI, T. BARSZCZ // Mechanical Systems and Signal Processing ; ISSN 0888-3270. — 2013 — vol. 38 iss. 1 spec. iss.: Condition monitoring of machines in non–stationary operations, s. 248–263. — Bibliogr. s. 262–263, Abstr.


Autorzy (2)


Słowa kluczowe

condition monitoringsignal validationdata acquisition

Dane bibliometryczne

ID BaDAP73640
Data dodania do BaDAP2013-05-17
Tekst źródłowyURL
DOI10.1016/j.ymssp.2013.01.015
Rok publikacji2013
Typ publikacjiartykuł w czasopiśmie
Otwarty dostęptak
Czasopismo/seriaMechanical Systems and Signal Processing

Abstract

Latest development of distributed condition monitoring for heavy duty machinery has revealed a major challenge concerning reliable data acquisition. Due to frequent failures of diagnostic algorithms caused by incorrectly registered data, validation of vibration signals became a very attractive field of research. The paper shows how classical data acquisition procedures might be enhanced by implementation of signal validation methods based on both machine process parameters signals and machine vibration signals. Presented validation covers analysis of process parameters, data stability constrains and also independent and comparative validation of vibration signals. Benefits of applied techniques are illustrated on real data from a wind turbine. (C) 2013 Elsevier Ltd. All rights reserved.

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