@inproceedings{390a3d2678c94bc6beb9836c489b993e,
title = "Identification of faults in a level control dynamic system",
abstract = "Identification of faults is an important task in system safety analysis. The large number of system scenarios considered in a realistic safety assessment need to be post-processed to identify the system critical states. The task can be quite complex when the dynamic aspects of the system behavior and its control play a relevant role in the analysis. For example, a fault event may lead to different scenario evolutions depending on the time of failure occurrence and the corresponding state of the controlled process variables. In this work, a Fuzzy C-Means clustering algorithm is applied for the classification of the fault scenarios of a level control system. The classification is based on information from both the stochastic events sequence and the patterns of the process variables evolution.",
keywords = "Dynamic reliability, Fault scenarios classification, Fuzzy C-means, Fuzzy clustering, Level control system",
author = "\{Di Maio\}, Francesco and Marco Stasi and Enrico Zio and Diego Mandelli and Tunc Aldemir",
year = "2009",
language = "English",
isbn = "9781615676958",
series = "6th American Nuclear Society International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies 2009",
pages = "1228--1239",
booktitle = "6th American Nuclear Society International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies 2009",
note = "6th American Nuclear Society International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies 2009 ; Conference date: 05-04-2009 Through 09-04-2009",
}