MODIG - Modelling the reliability of digital I&C in modern nuclear power plants

Ola Bäckström; Jan-Erik Holmberg; Markus Porthin; Tero Tyrväinen

MODIG - Modelling the reliability of digital I&C in modern nuclear power plants

Ola Bäckström, Jan-Erik Holmberg, Markus Porthin, Tero Tyrväinen

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Abstract

The Nordic R&D project MODIG (MODelling of DIGital I&C) aims to get a consensus approach for a reliability analysis of a plant design with digital I&C. The relevant part of the project for this paper is software failure probability quantification. To be able to define relevant software failure modes the I&C system needs to be split into a number of entities. The software entities are basically system software and application software. The system software can be further split into the run time environment and communication software. The failure modes applicable for each type of software differ. The approach to estimate the probability for various software failure modes is also discussed. System software failure probability estimate should be based on operational experience. Also the probability that an application software causes a fatal failure of the processor (crash) could be estimated based on operational experience. Non-fatal failures (functional failure without processor crash) for application software has to be treated differently, as sufficient operational data is not available. The non-fatal failure probability is suggested to be estimated based on an analytical approach using metrics of complexity and verification and validation.

Original language	English
Title of host publication	PSAM 13, 13th International Conference on Probabilistic Safety Assessment and Management
Publisher	International Association of Probabilistic Safety Assessment and Management IAPSAM
Publication status	Published - 2016
MoE publication type	A4 Article in a conference publication
Event	13th International Conference on Probabilistic Safety Assessment and Management - Sheraton Grande Walkerhill, Seoul, Korea, Republic of Duration: 2 Oct 2016 → 7 Oct 2016 Conference number: 13

Conference

Conference	13th International Conference on Probabilistic Safety Assessment and Management
Abbreviated title	PSAM 13
Country/Territory	Korea, Republic of
City	Seoul
Period	2/10/16 → 7/10/16

Keywords

digital I&C
probabilistic risk assessment
reliability

Cite this

@inproceedings{09503223e4f24f5e945adf56516c5ecb,

title = "MODIG - Modelling the reliability of digital I&C in modern nuclear power plants",

abstract = "The Nordic R&D project MODIG (MODelling of DIGital I&C) aims to get a consensus approach for a reliability analysis of a plant design with digital I&C. The relevant part of the project for this paper is software failure probability quantification. To be able to define relevant software failure modes the I&C system needs to be split into a number of entities. The software entities are basically system software and application software. The system software can be further split into the run time environment and communication software. The failure modes applicable for each type of software differ. The approach to estimate the probability for various software failure modes is also discussed. System software failure probability estimate should be based on operational experience. Also the probability that an application software causes a fatal failure of the processor (crash) could be estimated based on operational experience. Non-fatal failures (functional failure without processor crash) for application software has to be treated differently, as sufficient operational data is not available. The non-fatal failure probability is suggested to be estimated based on an analytical approach using metrics of complexity and verification and validation.",

keywords = "digital I&C, probabilistic risk assessment, reliability",

author = "Ola B{\"a}ckstr{\"o}m and Jan-Erik Holmberg and Markus Porthin and Tero Tyrv{\"a}inen",

note = "Project : 108550 ; 13th International Conference on Probabilistic Safety Assessment and Management, PSAM 13 ; Conference date: 02-10-2016 Through 07-10-2016",

year = "2016",

language = "English",

booktitle = "PSAM 13, 13th International Conference on Probabilistic Safety Assessment and Management",

publisher = "International Association of Probabilistic Safety Assessment and Management IAPSAM",

address = "United States",

}

Bäckström, O, Holmberg, J-E, Porthin, M & Tyrväinen, T 2016, MODIG - Modelling the reliability of digital I&C in modern nuclear power plants. in PSAM 13, 13th International Conference on Probabilistic Safety Assessment and Management. International Association of Probabilistic Safety Assessment and Management IAPSAM, 13th International Conference on Probabilistic Safety Assessment and Management, Seoul, Korea, Republic of, 2/10/16.

MODIG - Modelling the reliability of digital I&C in modern nuclear power plants. / Bäckström, Ola; Holmberg, Jan-Erik; Porthin, Markus et al.
PSAM 13, 13th International Conference on Probabilistic Safety Assessment and Management. International Association of Probabilistic Safety Assessment and Management IAPSAM, 2016.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - MODIG - Modelling the reliability of digital I&C in modern nuclear power plants

AU - Bäckström, Ola

AU - Holmberg, Jan-Erik

AU - Porthin, Markus

AU - Tyrväinen, Tero

N1 - Conference code: 13

PY - 2016

Y1 - 2016

N2 - The Nordic R&D project MODIG (MODelling of DIGital I&C) aims to get a consensus approach for a reliability analysis of a plant design with digital I&C. The relevant part of the project for this paper is software failure probability quantification. To be able to define relevant software failure modes the I&C system needs to be split into a number of entities. The software entities are basically system software and application software. The system software can be further split into the run time environment and communication software. The failure modes applicable for each type of software differ. The approach to estimate the probability for various software failure modes is also discussed. System software failure probability estimate should be based on operational experience. Also the probability that an application software causes a fatal failure of the processor (crash) could be estimated based on operational experience. Non-fatal failures (functional failure without processor crash) for application software has to be treated differently, as sufficient operational data is not available. The non-fatal failure probability is suggested to be estimated based on an analytical approach using metrics of complexity and verification and validation.

AB - The Nordic R&D project MODIG (MODelling of DIGital I&C) aims to get a consensus approach for a reliability analysis of a plant design with digital I&C. The relevant part of the project for this paper is software failure probability quantification. To be able to define relevant software failure modes the I&C system needs to be split into a number of entities. The software entities are basically system software and application software. The system software can be further split into the run time environment and communication software. The failure modes applicable for each type of software differ. The approach to estimate the probability for various software failure modes is also discussed. System software failure probability estimate should be based on operational experience. Also the probability that an application software causes a fatal failure of the processor (crash) could be estimated based on operational experience. Non-fatal failures (functional failure without processor crash) for application software has to be treated differently, as sufficient operational data is not available. The non-fatal failure probability is suggested to be estimated based on an analytical approach using metrics of complexity and verification and validation.

KW - digital I&C

KW - probabilistic risk assessment

KW - reliability

M3 - Conference article in proceedings

BT - PSAM 13, 13th International Conference on Probabilistic Safety Assessment and Management

PB - International Association of Probabilistic Safety Assessment and Management IAPSAM

T2 - 13th International Conference on Probabilistic Safety Assessment and Management

Y2 - 2 October 2016 through 7 October 2016

ER -

MODIG - Modelling the reliability of digital I&C in modern nuclear power plants

Abstract

Conference

Keywords

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Cite this