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BibTeX
Tracking the complexity of interactions between risk incidents and engineering systems
Systems engineering, 2005-09, Vol.8 (3), p.262-277
Lambert, James H.
Schulte, Benjamin L.
Sarda, Priya
2005
Details
Autor(en) / Beteiligte
Lambert, James H.
Schulte, Benjamin L.
Sarda, Priya
Titel
Tracking the complexity of interactions between risk incidents and engineering systems
Ist Teil von
Systems engineering, 2005-09, Vol.8 (3), p.262-277
Ort / Verlag
Hoboken: Wiley Subscription Services, Inc., A Wiley Company
Erscheinungsjahr
2005
Link zum Volltext
Quelle
Wiley Online Library
Beschreibungen/Notizen
Large‐scale engineering systems increasingly contend with massive databases of incident reports pertaining to risk and security. With appropriate processing and analysis, these databases can be offered as inputs to system risk assessments. This paper develops an automated detection of anomalies in an evolving set of incidents associated with engineering systems. It adopts a definition of a system‐to‐incident interaction, which associates one or more system components with an incident. An interaction is direct when a specific association of system and incident is clear, e.g., discovered in the text narrative of an incident report. An interaction is indirect when the relationship is not obvious and builds on how components relate to others in the system. Statistical process control (SPC) is adopted to analyze a sequence of incident reports. The variables—(i) interaction entropy and (ii) interaction informativity—are used in control charts to track the evolving complexity of the frequency counts of interactions. An example describes risk identification for an oil distribution system. A probability‐based characterization of the strength of interaction is introduced as a direction of future effort. © 2005 Wiley Periodicals, Inc. Syst Eng 8: 262–277, 2005
Sprache
Englisch
Identifikatoren
ISSN: 1098-1241
eISSN: 1520-6858
DOI: 10.1002/sys.20032
Titel-ID: cdi_crossref_primary_10_1002_sys_20032
Format
–
Schlagworte
anomaly detection
,
Applied sciences
,
event logs
,
Exact sciences and technology
,
failure modes and effects analysis
,
Inventory control, production control. Distribution
,
Operational research and scientific management
,
Operational research. Management science
,
risk assessment
,
scenario identification
,
statistical process control
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