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University of Illinois at Urbana-Champaign
Qualitative Reasonings With Deep-Level Mechanism Models for Diagnoses of Dependent Failures (Artificial Intelligence)
Abstract
dc:descriptionTraditional studies on mechanism diagnoses have been based on the "single failure" assumption even though multiple failures are main concerns in the real world. In this research, we concentrate on a subclass of multiple failures, called dependent failures, where a primary failure may induce subsequent secondary failure(s). The dependent-failure case is important because the probability of its occurrence is the same as that of single failure, yet it leads to multiple failures with potentially catastrophic results.
Degree
thesis:*- Name thesis:degree_name
- Ph.D.
- Level thesis:degree_level
- Dissertation
- Discipline thesis:degree_discipline
- Computer Science
- Grantor
- University of Illinois at Urbana-Champaign
- Year dc:date
- 2014
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Pan, Yung-Choa
Subjects
dc:subject × 1Identifiers
dc:identifier.*- Identifier
- (UMI)AAI8409823
- OAI identifier oai:identifier
- oai:www.ideals.illinois.edu:2142/69521