Gearbox condition monitoring and early damage diagnosis by two and three dimensional vibration signal analysis

Bibliographic Details
Main Author:	Wang, Wei Ji
Published:	University of Oxford 1993
Subjects:	534 Acoustics & noise analysis
Online Access:	http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.334237

id	ndltd-bl.uk-oai-ethos.bl.uk-334237
record_format	oai_dc
spelling	ndltd-bl.uk-oai-ethos.bl.uk-3342372015-03-19T10:37:00ZGearbox condition monitoring and early damage diagnosis by two and three dimensional vibration signal analysisWang, Wei Ji1993534Acoustics & noise analysisUniversity of Oxfordhttp://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.334237Electronic Thesis or Dissertation
collection	NDLTD
sources	NDLTD
topic	534 Acoustics & noise analysis
spellingShingle	534 Acoustics & noise analysis Wang, Wei Ji Gearbox condition monitoring and early damage diagnosis by two and three dimensional vibration signal analysis
author	Wang, Wei Ji
author_facet	Wang, Wei Ji
author_sort	Wang, Wei Ji
title	Gearbox condition monitoring and early damage diagnosis by two and three dimensional vibration signal analysis
title_short	Gearbox condition monitoring and early damage diagnosis by two and three dimensional vibration signal analysis
title_full	Gearbox condition monitoring and early damage diagnosis by two and three dimensional vibration signal analysis
title_fullStr	Gearbox condition monitoring and early damage diagnosis by two and three dimensional vibration signal analysis
title_full_unstemmed	Gearbox condition monitoring and early damage diagnosis by two and three dimensional vibration signal analysis
title_sort	gearbox condition monitoring and early damage diagnosis by two and three dimensional vibration signal analysis
publisher	University of Oxford
publishDate	1993
url	http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.334237
work_keys_str_mv	AT wangweiji gearboxconditionmonitoringandearlydamagediagnosisbytwoandthreedimensionalvibrationsignalanalysis
_version_	1716775676637347840

Gearbox condition monitoring and early damage diagnosis by two and three dimensional vibration signal analysis

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