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Research Component of PhD Qualifier Exam: Guilin Zhao

When: Tuesday, December 13, 2016
9:30 AM - 11:30 AM
Where: Science & Engineering Building, Lester W. Cory Conference Room: Room 213A
Cost: Free
Description: TOPIC: RELIABILITY ANALYSIS OF COMPETING SYSTEMS WITH DUAL
EVENTS

LOCATION: Lester W. Cory Conference Room
Science & Engineering Building (SENG), Room 213A

ABSTRACT:
Functional dependence (FDEP) exists in many real-world systems, where the failure of one component (trigger) causes other components (dependent components) within the same system to become inaccessible or unusable. The FDEP behavior complicates the system reliability analysis because it can cause competing failure effects in the time domain. Existing works have assumed non-cascading FDEP, where each system component can be a trigger or a dependent component, but not both. However in practical systems with hierarchical configurations, cascading FDEP takes place where a system component can play a dual role as both a trigger and a dependent component simultaneously. Such a component causes correlations among the different FDEP groups, further complicating the system reliability analysis. In this work, we propose a new combinatorial method for addressing effects of cascading FDEP in the reliability analysis of competing systems with dual events. The method is flexible without limitations on the type of time-to-failure distributions for system components. We perform a detailed case study on a wireless sensor system used in smart home applications to illustrate the proposed methodology.

NOTE: All ECE Graduate Students are ENCOURAGED to attend.
All interested parties are invited to attend. Open to the public.

Advisor: Dr. Liudong Xing
Committee Members: Dr. Honggang Wang, Department of Electrical & Computer Engineering and Dr. Haiping Xu, Department of Computer and Information Science

*For further information, please contact Dr. Liudong Xing at 508.999.8883, or via email at lxing@umassd.edu.
Topical Areas: General Public, University Community, College of Engineering, Electrical and Computer Engineering