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Research Papers

Resilience-Driven System Design of Complex Engineered Systems

[+] Author and Article Information
Byeng D. Youn1

Assistant ProfessorSchool of Mechanical and Aerospace Engineering  Seoul National University, Seoul 151-742, Koreabdyoun@snu.ac.kr

Chao Hu

Department of Mechanical Engineering,  University of Maryland at College Park, College Park, MD 20742huchaost@umd.edu

Pingfeng Wang

Assistant Professor Department of Industrial and Manufacturing Engineering,  Wichita State University, Wichita, KS 67260pingfeng.wang@wichita.edu

Adverse events could include the failure of components due to internal hazards (e.g., degradation) and/or external hazards (e.g., harsh operational conditions) that occur during the mission of the systems.

1

Corresponding author.

J. Mech. Des 133(10), 101011 (Oct 25, 2011) (15 pages) doi:10.1115/1.4004981 History: Received January 15, 2011; Revised August 21, 2011; Accepted August 22, 2011; Published October 25, 2011; Online October 25, 2011

Most engineered systems are designed with a passive and fixed design capacity and, therefore, may become unreliable in the presence of adverse events. Currently, most engineered systems are designed with system redundancies to ensure required system reliability under adverse events. However, a high level of system redundancy increases a system’s life-cycle cost (LCC). Recently, proactive maintenance decisions have been enabled through the development of prognostics and health management (PHM) methods that detect, diagnose, and predict the effects of adverse events. Capitalizing on PHM technology at an early design stage can transform passively reliable (or vulnerable) systems into adaptively reliable (or resilient) systems while considerably reducing their LCC. In this paper, we propose a resilience-driven system design (RDSD) framework with the goal of designing complex engineered systems with resilience characteristics. This design framework is composed of three hierarchical tasks: (i) the resilience allocation problem (RAP) as a top-level design problem to define a resilience measure as a function of reliability and PHM efficiency in an engineering context, (ii) the system reliability-based design optimization (RBDO) as the first bottom-level design problem for the detailed design of components, and (iii) the system PHM design as the second bottom-level design problem for the detailed design of PHM units. The proposed RDSD framework is demonstrated using a simplified aircraft control actuator design problem resulting in a highly resilient actuator with optimized reliability, PHM efficiency and redundancy for the given parameter settings.

FIGURES IN THIS ARTICLE
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Copyright © 2011 by American Society of Mechanical Engineers
Topics: Design , Reliability
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Figures

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Figure 1

Resilient (Proactive) organization

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Figure 2

System performance changes over lifetime without (a) and with the resilience practice (b)

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Figure 3

A hierarchical resilience-driven system design framework

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Figure 4

Results of the resilience allocation problem for a series-parallel system

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Figure 5

Detectability matrix

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Figure 6

Error PDF of RUL prediction

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Figure 7

An airplane control actuator with series-connected subsystems

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Figure 8

Schematic of an (EHA) model

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Figure 9

Piston position response under a step request and resistive torque

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Figure 10

Simulated measurements by piston displacement sensor (a) and rotary speed sensor (b) for the hydraulic actuator model

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Figure 11

RUL prediction results (a) and error PDFs (b) for the hydraulic actuator model

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