Detecting Anomalous Sensor Data In Wayside Diagnostics Using Enhanced LBP-Kurtograms
Login
DSpace Home
→
Univerzita Pardubice
→
Publikační činnost akademických pracovníků UPCE / UPCE Research Outputs
→
View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.
Detecting Anomalous Sensor Data In Wayside Diagnostics Using Enhanced LBP-Kurtograms
Kilinc, Onur
;
Vágner, Jakub
Files in this item
URI:
https://hdl.handle.net/10195/70350
Datum publikování:
2017
Document type:
article
Abstract:
The research focuses on diagnosis of structural faults in railway vehicles which provides cost effective maintenance and safety. Hybrid sensor information is classified by the novel methodology; Enhanced LBP-Kurtograms which outperforms all others.
Show full item record
Name:
Kilinc.pdf
Size:
379.6Kb
Format:
PDF
View/
Open
This item appears in the following Collection(s)
Publikační činnost akademických pracovníků DFJP / DFJP Research Outputs
[758]
Publikační činnost akademických pracovníků UPCE / UPCE Research Outputs
[5712]
Search DSpace
Whole Digital Library
This Collection
Advanced Search
Browse
All of DSpace
Communities & Collections
Date issued
Authors
Titles
Subjects
This Collection
Date issued
Authors
Titles
Subjects
My Account
Login
