Identification of FAult situations PROpagating BEtween different systems and disciplines (IFAPROBE), Aalto University

Dr. Nikolaos Papakonstantinou

elec.aalto.fi/en

Identification of FAult situations PROpagating BEtween different systems and disciplines (IFAPROBE), RG2 The goal of the project was to develop

methodology for identifying fault

propagation between automation systems,

the process and the physical layout.

Additionally, generic methods and tools were developed

in the domain of safety of complex systems. These

methodologies described:

• The automatic generation of event trees.

• The identification of critical event scenarios using

genetic algorithm and human computation.

• The generation of data sets for developing fault

detection and identification systems.

The case study was the

spent fuel pool cooling

system of a nuclear power

plant (NPP). It was provided

by Fortum Power and Heat.

A simulation model, developed

in the Apros 6 simulator,

demonstrated the capability of

modelling fault propagation

caused by flood through the

plant’s layout (rooms, corridors

and staircases).

The identification of

critical event scenarios

on a generic NPP

model was studied

using two methods: a) Students from Oregon

State University were

remotely simulating

scenarios and improving

them based on the

results.

b) A genetic algorithm was

used to develop a set of

scenarios using

biologically inspired

evolution process.

A methodology was

proposed for the generation

of data sets for developing

data-driven Fault Detection

and Identification (FDI)

platforms for complex

systems like NPPs.