MASTER OF SCIENCE THESIS DEFENSE BY: Guilin Zhao
When: Thursday,
May 19, 2016
9:30 AM
-
11:00 AM
Where: Science & Engineering Building, Lester W. Cory Conference Room: Room 213A
Cost: free
Description: TOPIC: SYSTEM RELIABILITY CONSIDERTING PROBABILISTTIC FAILURE ISOLATION AND RANDOM PROPAGATION TIME
LOCATION: Lester W. Cory Conference Room, Science & Engineering Building (Group II), Room 213A
ABSTRACT:
Many real-world systems exhibit functional dependence behavior that can cause competitions in the time domain between probabilistic failure isolation and failure propagation effects. Existing works addressing such competing effects have assumed that any failure propagation originating from a system component instantaneously takes effect, which is often not true in practical scenarios.
In this thesis, we propose a combinatorial method for addressing random propagation time in the reliability analysis of complex systems subject to competing probabilistic failure isolation and failure propagation effects. The suggested methodology, based on event trees and applied probability, is applicable to arbitrary types of time-to-failure distributions for system components. A case study of reliability analysis of an example smart home sensor system is provided to demonstrate 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.
LOCATION: Lester W. Cory Conference Room, Science & Engineering Building (Group II), Room 213A
ABSTRACT:
Many real-world systems exhibit functional dependence behavior that can cause competitions in the time domain between probabilistic failure isolation and failure propagation effects. Existing works addressing such competing effects have assumed that any failure propagation originating from a system component instantaneously takes effect, which is often not true in practical scenarios.
In this thesis, we propose a combinatorial method for addressing random propagation time in the reliability analysis of complex systems subject to competing probabilistic failure isolation and failure propagation effects. The suggested methodology, based on event trees and applied probability, is applicable to arbitrary types of time-to-failure distributions for system components. A case study of reliability analysis of an example smart home sensor system is provided to demonstrate 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.
Contact:
ECE: Electrical & Computer Engineering Department 508.999.9164 http://www.umassd.edu/engineering/ece/
Topical Areas: General Public, University Community, College of Engineering, Electrical and Computer Engineering