Using HPC in Gas Turbines blade fault diagnosis

Stamatis, AG; Papailiou, KD

dc.contributor.author	Stamatis, AG	en
dc.contributor.author	Papailiou, KD	en
dc.date.accessioned	2014-03-01T01:13:29Z
dc.date.available	2014-03-01T01:13:29Z
dc.date.issued	1997	en
dc.identifier.issn	0302-9743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/12506
dc.subject	Coarse Grained	en
dc.subject	Fault Diagnosis	en
dc.subject	Fault Identification	en
dc.subject	Gas Turbine	en
dc.subject	Iteration Method	en
dc.subject	Real Time	en
dc.subject.classification	Computer Science, Theory & Methods	en
dc.title	Using HPC in Gas Turbines blade fault diagnosis	en
heal.type	journalArticle	en
heal.identifier.primary	10.1007/BFb0031575	en
heal.identifier.secondary	http://dx.doi.org/10.1007/BFb0031575	en
heal.language	English	en
heal.publicationDate	1997	en
heal.abstract	Parallelization of two approaches used for identification of faults in blades of a gas turbine is presented. The first approach, termed as direct simulation, is aiming to populate a fault diagnosis database allowing early identification of faults. The second approach, termed as the inverse one, gives a more focused solution to fault identification, by using the direct approach in an iterative way which permits the estimation of the blade geometry alterations. By using state of the art parallel tools such as ScaLAPACK library and exploiting inherent coarse-grained parallelism in calculating the elements of the Jacobian needed in the iterative method encouraging speedups have been obtained. The test cases presented include theoretically produced fault signals as well as experimental cases, where actual measurement data are shown to produce in quasi real time the geometrical deformations which existed in the test engine.	en
heal.publisher	SPRINGER-VERLAG BERLIN	en
heal.journalName	HIGH-PERFORMANCE COMPUTING AND NETWORKING	en
heal.bookName	LECTURE NOTES IN COMPUTER SCIENCE	en
dc.identifier.doi	10.1007/BFb0031575	en
dc.identifier.isi	ISI:000074015300002	en
dc.identifier.volume	1225	en
dc.identifier.spage	11	en
dc.identifier.epage	20	en