QFD with statistical ranking – a hydropower turbine case study

Rihar, Lidija (avtor), Jenko, Marjan (avtor)

Influences of hydropower plant water turbine operational parameters on turbine operational economics, reliability and lifetime are ranged with a new type of QFD method that includes parameter distribution densities and probabilities. In our method, each dominant i.e., main parameter coexists with associated side parameters. Their contribution to effects, usually attributed to the main parameter only, is modelled by a) probability density of the side parameter contribution to the main parameter effects, and by b) side parameters’ Bernoulli distribution since association of side parameter to the dominant parameter effects is in the realm of probability and not all side parameter effects are associated with the main parameter effects at all times. Analysis results are probability densities of dominant parameters influence measure on the turbine operating attributes. A simulation tool was built to establish relations amongst influential parameters and turbine’s economics, reliability and lifetime. We obtained technical data associated with turbine operation attributes from turbine senior designers having led successful projects within last 30 years. Simulation results have been validated with existing turbine-projects maintenance data.

• Jezik: Angleški jezik
• Ključne besede: hydropower turbine maintenance, parameter probability density, predictive analysis, QFD, QFD SR, sensitivity analysis
• 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: 2024
• Št. strani: Str. 239-250
• Številčenje: Vol. 23, no. 2
• PID: 20.500.12556/RUL-160338
• UDK: 658.58:621.224
• ISSN pri članku: 1726-4529
• DOI: 10.2507/IJSIMM23-2-681
• COBISS.SI-ID: 205307139
• Datum objave v RUL: 26.08.2024

Gradivo je del revije

• Naslov: International journal of simulation modelling
• Skrajšan naslov: Int. j. simul. model.
• Založnik: DAAAM International Vienna
• ISSN: 1726-4529
• COBISS.SI-ID: 8008982

Licence

• Licenca: CC BY-NC 4.0, Creative Commons Priznanje avtorstva-Nekomercialno 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by-nc/4.0/deed.sl
• Opis: Licenca Creative Commons, ki prepoveduje komercialno uporabo, vendar uporabniki ne rabijo upravljati materialnih avtorskih pravic na izpeljanih delih z enako licenco.

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: vzdrževanje turbin, hidroelektrarne, gostota verjetnosti parametrov, analiza napovedi, QFD, analiza občutljivosti

Projekti

• Financer: ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
• Številka projekta: P2-0270
• Naslov: Proizvodni sistemi, laserske tehnologije in spajanje materialov