dc.contributor.author |
Dăneţi, Marllene |
|
dc.date.accessioned |
2020-04-09T08:14:21Z |
|
dc.date.accessioned |
2021-03-01T08:51:54Z |
|
dc.date.available |
2020-04-09T08:14:21Z |
|
dc.date.available |
2021-03-01T08:51:54Z |
|
dc.date.issued |
2008 |
|
dc.identifier.citation |
Dăneţi, Marllene. Combined preprocessing methods for leak locating systems. Timişoara: Editura Politehnica, 2008 |
en_US |
dc.identifier.uri |
http://primo.upt.ro:1701/primo-explore/search?query=any,contains,Combined%20preprocessing%20methods%20for%20leak%20locating%20systems&tab=default_tab&search_scope=40TUT&vid=40TUT_V1&lang=ro_RO&offset=0 Link Primo |
|
dc.description.abstract |
Real leak signals, acquired in industrial
pipeline systems may manifest two typical non
stationary signatures: abrupt amplitude random
changes on one side and a time varying mean on the
other side. This paper proposes a pre-processing
algorithm for extracting stationary information from the
received signals, in order to improve the leak location on
the pipe. This method combines the wavelet de-noising
technique with a segmentation algorithm. Comparative
results show that, in addition, by using a pre-whitening
filter and closing the pipeline’s end, improved estimates
can be obtained. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Timişoara : Editura Politehnica |
en_US |
dc.relation.ispartofseries |
Seria electronică şi telecomunicaţii;Tom 53(67), fasc. 2 (2008) |
|
dc.subject |
Leak location |
en_US |
dc.subject |
Time delay estimation |
en_US |
dc.subject |
Stationarity index |
en_US |
dc.title |
Combined preprocessing methods for leak locating systems [articol] |
en_US |
dc.type |
Article |
en_US |