izpis_h1_title_alt

Research on real-time reliability evaluation method integrated with online fault diagnosis : subsea all-electric Christmas tree system as a cause study
ID Liu, Peng (Avtor), ID Shen, Dagang (Avtor), ID Cao, Jinfeng (Avtor)

.pdfPDF - Predstavitvena datoteka, prenos (6,39 MB)
MD5: 035EEE2448BF41F0BFEC81608883B723
URLURL - Izvorni URL, za dostop obiščite https://www.sv-jme.eu/sl/article/research-on-real-time-reliability-evaluation-method-integrated-with-online-fault-diagnosis-subsea-all-electric-christmas-tree-system-as-a-cause-study/ Povezava se odpre v novem oknu

Izvleček
In the dynamic complex subsea environment, the degradation of the ocean engineering system is caused not only by a certain factor but by multiple ones. It is that when the failure rate of a certain component increases significantly, the declining trend in reliability of the entire system is well worth to discussion. This article contributes a real-time reliability evaluation method integrated with online fault diagnosis stage by using dynamic Bayesian networks. The subsea all-electric Christmas tree mechanical system is adopted to demonstrate the proposed methodology, the method realizes the identification of component fault types and the real-time reliability evaluation of the mechanical system under different component failure rates. The problem of inaccurate evaluation results caused by only considering component degradation rate or using sensor data as a single piece of evidence has been overcome. As a supplement to the method, by using mutual information to conduct sensitivity analysis on the reliability of the mechanical system, the importance of the basic events of each component on the reliability of the system is finally given. The proposed method provides important theoretical support for the maintenance of the tree, and can be extended to the reliability evaluation of general subsea production systems.

Jezik:Angleški jezik
Ključne besede:reliability evaluation, fault diagnosis, Bayesian network
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:2022
Št. strani:Str. 39-55
Številčenje:Vol. 68, no. 1
PID:20.500.12556/RUL-134719 Povezava se odpre v novem oknu
UDK:004.7:681.518.3
ISSN pri članku:0039-2480
DOI:10.5545/sv-jme.2021.7328 Povezava se odpre v novem oknu
COBISS.SI-ID:95281411 Povezava se odpre v novem oknu
Datum objave v RUL:27.01.2022
Število ogledov:928
Število prenosov:189
Metapodatki:XML DC-XML DC-RDF
:
Kopiraj citat
Objavi na:Bookmark and Share

Gradivo je del revije

Naslov:Strojniški vestnik
Skrajšan naslov:Stroj. vestn.
Založnik:Zveza strojnih inženirjev in tehnikov Slovenije [etc.], = Association of Mechanical Engineers and Technicians of Slovenia [etc.
ISSN:0039-2480
COBISS.SI-ID:762116 Povezava se odpre v novem oknu

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
Začetek licenciranja:07.12.2021
Vezano na:Accepted for publication

Sekundarni jezik

Jezik:Slovenski jezik
Naslov:Raziskava metode za sprotno vrednotenje zanesljivosti v kombinaciji z diagnosticiranjem napak na primeru podvodnega električnega božičnega drevesa
Ključne besede:električna božična drevesa, analiza zanesljivosti, Bayesovo omrežje, diagnostika napak, vrednotenje zanesljivosti, analiza občutljivosti

Projekti

Financer:Drugi - Drug financer ali več financerjev
Program financ.:Shandong Provincial Natural Science Foundation, China
Številka projekta:ZR2021QE059

Financer:Drugi - Drug financer ali več financerjev
Program financ.:Key R&D Program of Shandong Province
Številka projekta:2019GGX101020

Podobna dela

Podobna dela v RUL:
Podobna dela v drugih slovenskih zbirkah:

Nazaj