Fault detection and classification with the rebmix R package

Nagode, Marko (avtor), Panić, Branislav (avtor), Klemenc, Jernej (avtor), Oman, Simon (avtor)

Fault detection and classification is an important part of assessing the structural and system health status. The classification and detection of faults and faulty units is mostly done with statistical methods. After the data are measured and collected, the use of statistical software is necessary. Currently, many statistical software packages are being developed for the R programming language, as a result of R implementation being open source and free to use. This paper focuses on the rebmix R package, which concentrates on mixture model estimation. Mixture models, in particular Gaussian mixture models, are the main driver for many practical applications, such as clustering and classification. Hence, in this paper, we have expanded the rebmix for the estimation of the Gaussian mixtures. The results acquired on three different fault classification datasets were promising. Additionally, the process of obtaining those results is shown in detail, giving the researchers in the fault classification field useful resources for their research.

• Jezik: Angleški jezik
• Ključne besede: fault classification, fault detection, mixture models, REBMIX algorithm, EM algorithm
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: FS - Fakulteta za strojništvo
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2023
• Št. strani: 12 str.
• Številčenje: Vol. 185, art. 109628
• PID: 20.500.12556/RUL-151319
• UDK: 519.876.5:004.92
• ISSN pri članku: 0360-8352
• DOI: 10.1016/j.cie.2023.109628
• COBISS.SI-ID: 166878723
• Datum objave v RUL: 04.10.2023

Gradivo je del revije

• Naslov: Computers & industrial engineering
• Skrajšan naslov: Comput. ind. eng.
• Založnik: Elsevier
• ISSN: 0360-8352
• COBISS.SI-ID: 4909066

Licence

• Licenca: CC BY-NC-ND 4.0, Creative Commons Priznanje avtorstva-Nekomercialno-Brez predelav 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by-nc-nd/4.0/deed.sl
• Opis: Najbolj omejujoča licenca Creative Commons. Uporabniki lahko prenesejo in delijo delo v nekomercialne namene in ga ne smejo uporabiti za nobene druge namene.

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: klasifikacija napak, detekcija napak, mešani model, algoritem REBMIX, algoritem EM

Projekti

• Financer: ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
• Številka projekta: P2-0182
• Naslov: Razvojna vrednotenja