dc.contributor.author | Mohamed, A. A. | |
dc.contributor.author | Neilson, R. D. | |
dc.contributor.author | Deans, W. F. | |
dc.contributor.author | MacConnell, P. | |
dc.date.accessioned | 2015-02-01T00:00:47Z | |
dc.date.available | 2015-02-01T00:00:47Z | |
dc.date.issued | 2014-02 | |
dc.identifier | 25542555 | |
dc.identifier | 3e2bdfe8-9857-4689-acea-140e3b54d7b5 | |
dc.identifier | 84893902026 | |
dc.identifier.citation | Mohamed , A A , Neilson , R D , Deans , W F & MacConnell , P 2014 , ' Crack detection in a rotating shaft using artificial neural networks and PSD characterisation ' , Meccanica , vol. 49 , no. 2 , pp. 255-266 . https://doi.org/10.1007/s11012-013-9790-z | en |
dc.identifier.issn | 0025-6455 | |
dc.identifier.uri | http://hdl.handle.net/2164/4219 | |
dc.format.extent | 12 | |
dc.format.extent | 2442594 | |
dc.language.iso | eng | |
dc.relation.ispartof | Meccanica | en |
dc.subject | condition health monitoring | en |
dc.subject | crack detection | en |
dc.subject | statistical analysis | en |
dc.subject | vibration | en |
dc.subject | signal processing | en |
dc.subject | neural network | en |
dc.subject | TC Hydraulic engineering. Ocean engineering | en |
dc.subject.lcc | TC | en |
dc.title | Crack detection in a rotating shaft using artificial neural networks and PSD characterisation | en |
dc.type | Journal article | en |
dc.contributor.institution | University of Aberdeen.Engineering | en |
dc.contributor.institution | University of Aberdeen.COPS Administration | en |
dc.contributor.institution | University of Aberdeen.Energy | en |
dc.description.status | Peer reviewed | en |
dc.identifier.doi | 10.1007/s11012-013-9790-z | |
dc.date.embargoedUntil | 2015-02-01 | |