Combining Historical Data and Domain Expert Knowledge Using Optimization to Model Electrical Equipment Reliability
| Autor: | Olivier Blancke, Amira Dems, Stéphane Alarie, Alain Côté, Darragi Messaoudi, Dragan Komljenovic |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
021110 strategic
defence & security studies Decision support system Computer science business.industry 020209 energy 0211 other engineering and technologies 02 engineering and technology Asset (computer security) Maintenance engineering Data modeling Reliability engineering Subject-matter expert 0202 electrical engineering electronic engineering information engineering Asset management business Reliability (statistics) Predictive modelling |
| Zdroj: | Web of Science |
| DOI: | 10.1109/pmaps47429.2020.9183620 |
| Popis: | To meet new needs and respond to changes in the energy market, Hydro-Quebec TransEnergie required new predictive modelling methods and systems to support its asset management activities. It created PRIAD, a robust integration and decision support system. One goal of PRIAD is to assess asset behavior for the purposes of simulating system reliability. A method using a black-box optimization technique was developed to calibrate an expert reliability model with historical data analysis. The model's electrical equipment reliability predictions were satisfactory, but further improvements are planned. One benefit of this approach is to allow experts to reassess their maintenance strategies using modelling results. |
| Databáze: | OpenAIRE |
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