Work

Learning Dynamic Fault Trees from Data for Interpretable Failure Prediction

Year: 2025

Type: conference-paper

Source: IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)

DOI: 10.1109/idaacs68557.2025.11322207

Authors: Rudolf Hoffmann, Christoph Reich

Institution: Furtwangen University

Language: English

Topic: Risk and Safety Analysis

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

Open Access status: closed

Funders: Deutsche Forschungsgemeinschaft, Agence Nationale de la Recherche

OpenAlex ID: W7123904719

FWCI: 5.319

Cites: 17

Cited by: 1

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