contributor author | Hyde, R. | |
contributor author | Angelov, P. | |
date accessioned | 2020-03-12T21:13:36Z | |
date available | 2020-03-12T21:13:36Z | |
date issued | 2014 | |
identifier other | 6930157.pdf | |
identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1041382?locale-attribute=en&show=full | |
format | general | |
language | English | |
publisher | IEEE | |
title | Data density based clustering | |
type | Conference Paper | |
contenttype | Metadata Only | |
identifier padid | 8168742 | |
subject keywords | chemical industry | |
subject keywords | condition monitoring | |
subject keywords | estimation theory | |
subject keywords | nitrogen | |
subject keywords | probability | |
subject keywords | MSET model | |
subject keywords | PHM | |
subject keywords | SPRT model | |
subject keywords | correlation model | |
subject keywords | equipment health | |
subject keywords | feature vector | |
subject keywords | high pressure nitrogen system | |
subject keywords | mean test | |
subject keywords | multivariate state estimation technique | |
subject keywords | prognostic and health management technology | |
subject keywords | residual signal | |
subject keywords | sequential probability ratio test model | |
subject keywords | variance test | |
subject keywords | Liquids | |
subject keywords | Monitoring | |
subject keywords | Nitrogen | |
subject keywords | State estimation | |
subject keywords | Temperature distribution | |
subject keywords | Training data | |
subject keywords | Vectors | |
subject keywords | multivariate state estimation techn | |
identifier doi | 10.1109/PHM.2014.6988138 | |
journal title | omputational Intelligence (UKCI), 2014 14th UK Workshop on | |
filesize | 283556 | |
citations | 0 | |