On the use of probabilistic model-checking for the verification of prognostics applications

Jose Ignacio Aizpurua, Victoria M. Catterson

Research output: Contribution to conferencePaper

2 Citations (Scopus)
84 Downloads (Pure)

Abstract

Prognostics aims to improve asset availability through intelligent maintenance actions. Up-to-date remaining useful life predictions enable the optimization of maintenance planning. Verification of prognostics techniques aims to analyze if the prognostics application meets the design requirements. Online prognostics applications depend on the data-gathering hardware architecture to perform correct prognostics predictions. Accordingly, when verifying prognostics requirements compliance, it is necessary to include the effect of hardware failures on prognostics predictions. In this paper we investigate the use of formal verification techniques for the integrated verification of prognostics applications including hardware and software components. Focusing on the probabilistic model-checking approach, a case study from the power industry shows the validity of the proposed framework.
Original languageEnglish
DOIs
Publication statusPublished - 12 Dec 2015
Event2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems - Ain Shams University, Cairo, Egypt
Duration: 12 Dec 201514 Dec 2015
http://net2.shams.edu.eg/icicis/2015/

Conference

Conference2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems
Abbreviated titleICICIS
CountryEgypt
CityCairo
Period12/12/1514/12/15
Internet address

Keywords

  • prognostics
  • probabilistic models
  • model checking
  • metrics
  • verification techniques

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    Aizpurua, J. I., & Catterson, V. M. (2015). On the use of probabilistic model-checking for the verification of prognostics applications. Paper presented at 2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems, Cairo, Egypt. https://doi.org/10.1109/IntelCIS.2015.7397225