Resilience-Driven System Design of Complex Engineered Systems

2011 ◽  
Vol 133 (10) ◽  
Author(s):  
Byeng D. Youn ◽  
Chao Hu ◽  
Pingfeng Wang
Keyword(s):  
Adverse Events ◽  
System Design ◽  
System Reliability ◽  
Design Problem ◽  
Detailed Design ◽  
Bottom Level ◽  
Complex Engineered Systems ◽  
Driven System ◽  
Level Design ◽  
Engineered Systems

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.

Resilience-Driven System Design of Complex Engineered Systems

2011 ◽  
Author(s):  
Byeng D. Youn ◽  
Chao Hu ◽  
Pingfeng Wang
Keyword(s):  
Adverse Events ◽  
System Design ◽  
System Reliability ◽  
Design Problem ◽  
Detailed Design ◽  
Bottom Level ◽  
Complex Engineered Systems ◽  
Driven System ◽  
Level Design ◽  
Engineered Systems

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.

Resilient Design of Complex Engineered Systems Against Cascading Failure

2013 ◽  
Author(s):  
Hoda Mehrpouyan ◽  
Brandon Haley ◽  
Andy Dong ◽  
Irem Y. Tumer ◽  
Chris Hoyle
Keyword(s):  
Complex Networks ◽  
System Design ◽  
Electrical Power ◽  
Electrical Power System ◽  
Complex Engineered Systems ◽  
Failure Propagation ◽  
Resilient Design ◽  
Engineered Systems ◽  
Design Characteristics ◽  
Energy Signal

This paper describes an approach commonly used with complex networks to study the failure propagation in an engineered system design. The goal of the research is to synthesize and illustrate system design characteristics that results from possible impact of the underlying design methodology based on cascading failures. Further, identifying the most vulnerable component in the design or system design architectures that are resilient to such dissemination of failures provide additional property improvement for resilient design. The paper presents a case study based on the ADAPT (Electrical Power System) EPS testbed at NASA Ames as a subsystem for the Ramp System of an Infantry Fighting Vehicle (IFV). A popular methodology based on the adjacency matrix, which is commonly used to represent edge connections between nodes in complex networks, has inspired interest in the use of similar methods to represent complex engineered systems. This is made possible, by defining the connections between components as a flow of energy, signal, and material and constraining physical connection between compatible components within complex engineered systems. Non-linear dynamical system (NLDS) and epidemic spreading models are used to compare the failure propagation mean time transformation. The results show that coupling, modularity, and module complexity all play an important part in the design of robust large complex engineered systems.

Concurrent Design of Functional Reliability and Failure Prognosis for Engineered Resilience

2013 ◽  
Author(s):  
Pingfeng Wang ◽  
Byeng D. Youn ◽  
Chao Hu
Keyword(s):  
Life Cycle ◽  
System Design ◽  
Design Stage ◽  
System Failures ◽  
Complex Engineered Systems ◽  
Functional Reliability ◽  
Use Phase ◽  
Engineered Systems ◽  
Failure Prognosis ◽  
System Life

This paper presents a new system design platform and approaches leading to the development of resilient engineered systems through integrating design of system functions and prognosis of function failures in a unified design framework. Failure prognosis plays an increasingly important role in complex engineered systems since it detects, diagnoses, and predicts the system-wide effects of adverse events, therefore enables a proactive approach to deal with system failures at the life cycle use phase. However, prognosis of system functional failures has been largely neglected in the past at early system design stage, mainly because quantitative analysis of failure prognosis in the early system design stage is far more challenging than these activities themselves that have been mainly carried out at the use phase of a system life cycle. In this paper, a generic mathematical formula of resilience and predictive resilience analysis will be introduced, which offers a unique way to consider lifecycle use phase failure prognosis in the early system design stage and to systematically analyze their costs and benefits, so that it can be integrated with system function designs concurrently to generate better overall system designs. Engineering design case studies will be used to demonstrate the proposed design for resilience methodology.

A dynamic design approach using the Kalman filter for uncertainty management

2017 ◽  
Vol 31 (2) ◽  
pp. 161-172 ◽  
Author(s):  
Elham Keshavarzi ◽  
Matthew McIntire ◽  
Christopher Hoyle
Keyword(s):  
Kalman Filter ◽  
Life Cycle ◽  
System Design ◽  
Satellite System ◽  
Life Cycles ◽  
Design Approach ◽  
Complex Engineered Systems ◽  
New States ◽  
Engineered Systems ◽  
Filter Approach

AbstractIt is desirable for complex engineered systems to be resilient to various sources of uncertainty throughout their life cycle. Such systems are high in cost and complexity, and often incorporate highly sophisticated materials, components, design, and other technologies. There are many uncertainties such systems will face throughout their life cycles due to changes in internal and external conditions, or states of interest, to the designer, such as technology readiness, market conditions, or system health. These states of interest affect the success of the system design with respect to the main objectives and application of the system, and are generally uncertain over the life cycle of the system. To address such uncertainties, we propose a resilient design approach for engineering systems. We utilize a Kalman filter approach to model the uncertain future states of interest. Then, based upon the modeled states, the optimal change in the design of the system is achieved to respond to the new states. This resilient method is applicable in systems when the ability to change is embedded in the system design. A design framework is proposed encompassing a set of definitions, metrics, and methodologies. A case study of a communication satellite system is presented to illustrate the features of the approach.

Contemporary Methods of Designing Rail Vehicle Running Systems with the Use of CAD and CAM Solutions

2020 ◽  
Vol 64 (187) ◽  
pp. 75-80
Author(s):  
Tomasz Antkowiak ◽  
Marcin Kruś
Keyword(s):  
System Design ◽  
Preliminary Design ◽  
Support Design ◽  
Detailed Design ◽  
Final Shape ◽  
Rail Vehicle ◽  
Design Engineers ◽  
Running System ◽  
Cad Cam

The article discusses the process of designing the running system of a rail vehicle using CAD and CAM tools as the solutions supporting the process. It describes the particular stages of design taking its final shape: from a preliminary design, through a detailed design, ending with the stage of production. Each stage includes a presentation of how CAD and CAM tools are used to support design engineers in their practice. Keywords: running system, design, CAD, CAM

Model Driven System Design Working Group: FOUNDATIONAL CONCEPTS FOR MODEL DRIVEN SYSTEM DESIGN

1996 ◽  
Vol 6 (1) ◽  
pp. 1179-1185 ◽  
Author(s):  
Loyd Baker ◽  
Paul Clemente ◽  
Bob Cohen ◽  
Larry Permenter ◽  
Byron Purves ◽  
...  
Keyword(s):  
System Design ◽  
Working Group ◽  
Model Driven ◽  
Driven System

scholarly journals Forensic Engineering Use Of Fault Tree Analysis

2006 ◽  
Vol 23 (2) ◽  
Author(s):  
Frank H. Johnson ◽  
DeWitt William E.
Keyword(s):  
Fault Tree ◽  
Fault Tree Analysis ◽  
Tree Analysis ◽  
Complex Engineered Systems ◽  
Track Record ◽  
Forensic Engineering ◽  
Fire And Explosion ◽  
Engineered Systems ◽  
Analytical Tools

Analytical Tools, Like Fault Tree Analysis, Have A Proven Track Record In The Aviation And Nuclear Industries. A Positive Tree Is Used To Insure That A Complex Engineered System Operates Correctly. A Negative Tree (Or Fault Tree) Is Used To Investigate Failures Of Complex Engineered Systems. Boeings Use Of Fault Tree Analysis To Investigate The Apollo Launch Pad Fire In 1967 Brought National Attention To The Technique. The 2002 Edition Of Nfpa 921, Guide For Fire And Explosion Investigations, Contains A New Chapter Entitled Failure Analysis And Analytical Tools. That Chapter Addresses Fault Tree Analysis With Respect To Fire And Explosion Investigation. This Paper Will Review The Fundamentals Of Fault Tree Analysis, List Recent Peer Reviewed Papers About The Forensic Engineering Use Of Fault Tree Analysis, Present A Relevant Forensic Engineering Case Study, And Conclude With The Results Of A Recent University Study On The Subject.

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