Cristin-resultat-ID: 1130638
Sist endret: 2. juni 2016, 09:54
NVI-rapporteringsår: 2014
Resultat
Vitenskapelig artikkel
2014

Condition monitoring for early failure detection. Frognerparken pumping station as case study

Bidragsytere:
  • Svein Peder Berge
  • Berit Floor Lund og
  • Rita Maria Ugarelli

Tidsskrift

Procedia Engineering
ISSN 1877-7058
e-ISSN 1877-7058
NVI-nivå 1

Om resultatet

Vitenskapelig artikkel
Publiseringsår: 2014
Publisert online: 2014
Trykket: 2014
Volum: 70
Sider: 162 - 171
Open Access

Importkilder

Scopus-ID: 2-s2.0-84899670994

Beskrivelse Beskrivelse

Tittel

Condition monitoring for early failure detection. Frognerparken pumping station as case study

Sammendrag

A case study has been carried out to investigate how process data from Frognerparken Pumping Station can be used more efficiently to get an early detection of degradation or failures of the pump systems. The technical condition is described by use of a single number from 0 to 100, denoted as the Technical Condition Index (TCI), where maximum value describes the design condition as new and the minimum value describes the state of total degradation. As presented in this paper, the pump station is broken down to subsystems where each subsystem consists of several nodes with its own TCI value. The overall pump station's TCI number is then computed by aggregating a weighted sum of all the subsystems’ TCIs. A method for early failure detection is also developed and is based on combining energy balance law together with the nonlinear extended Kalman filter to estimate model parameters for both the heating and the cooling phase of the pump. The model parameters are directly related to the temperature change and will give an indication of degradation during the transient phase even if the pump is working properly. During a visual inspection one of the pump had significantly higher temperature and vibration compared to the other pumps, and based on received timeseries for that specific day, we were able to validate the proposed method with realistic data.

Bidragsytere

Svein Peder Berge

  • Tilknyttet:
    Forfatter
    ved Energi og transport ved SINTEF Ocean

Berit Floor Lund

  • Tilknyttet:
    Forfatter
    ved Diverse norske bedrifter og organisasjoner

Rita Maria Ugarelli

  • Tilknyttet:
    Forfatter
    ved Infrastruktur ved SINTEF AS
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