Search: onr:"swepub:oai:DiVA.org:ltu-80258" > Novel Detection And...
Fältnamn | Indikatorer | Metadata |
---|---|---|
000 | 02253naa a2200289 4500 | |
001 | oai:DiVA.org:ltu-80258 | |
003 | SwePub | |
008 | 200722s2020 | |||||||||||000 ||eng| | |
024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-802582 URI |
040 | a (SwePub)ltu | |
041 | a engb eng | |
042 | 9 SwePub | |
072 | 7 | a ref2 swepub-contenttype |
072 | 7 | a kon2 swepub-publicationtype |
100 | 1 | a Birk, Wolfgang,d 1968-u Luleå tekniska universitet,Signaler och system4 aut0 (Swepub:ltu)wolfgang |
245 | 1 0 | a Novel Detection And Prediction Tool For Bearing Damages On Heavy Haul Vehicles Using Way-Side Detectors |
264 | 1 | a Online Conference,c 2020 |
338 | a print2 rdacarrier | |
520 | a Incipient bearing damages on heavy haul vehicles can lead to detrimental disruptions in heavy haul operation and even to derailment of trains. The consequences are damage of the railway infrastructure, loss of freight and equity, and an interruption of traffic. This paper presents a novel method to detect and predict the onset of bearing damages using a combination of multiple way-side detectors. The method is based on a statistical normalization of detector information and subsequent generation of a bearing damage score time series reflecting the abnormal condition of a specific bearing on a rail car. The method is implemented in a cloud-based service solution which reflects each bearing as a digital twin and tracks the condition throughout the operation of a railcar. The solution is applied to a heavy haul operation in Scandinavia to quantify performance of the analytics in terms of true and false positives is currently ongoing. | |
650 | 7 | a TEKNIK OCH TEKNOLOGIERx Elektroteknik och elektronikx Reglerteknik0 (SwePub)202022 hsv//swe |
650 | 7 | a ENGINEERING AND TECHNOLOGYx Electrical Engineering, Electronic Engineering, Information Engineeringx Control Engineering0 (SwePub)202022 hsv//eng |
653 | a Reglerteknik | |
653 | a Control Engineering | |
700 | 1 | a Westerberg, Jesperu Predge AB, Sweden4 aut |
710 | 2 | a Luleå tekniska universitetb Signaler och system4 org |
773 | 0 | t AREMA 2020 Virtual Conference & Expod Online Conference |
856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-80258 |
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