Saideep Nannapaneni, Abhishek Dubey, Sherif Abdelwahed, Sankaran Mahadevan, Sandeep Neema
PHM 2014 - Proceedings of the Annual Conference of the Prognostics and Health Management Society 2014 2014
Reliability assessment for complex systems requires understanding how component failures affect mission-level objectives. This work is innovative because it provides a systematic methodology for extracting mission-critical functions from system designs and computing reliability considering both component failures and design alternatives. The approach supports informed design decisions balancing multiple objectives.
This paper presents a model-based approach for reliability assessment in component-based systems using mission-level functional decomposition. The methodology maps system components to high-level functions and derives reliability block diagrams for computing mission reliability. The approach enables trade-off analysis between design alternatives based on cost, performance, and reliability metrics.
The methodology successfully computes mission reliability for component-based systems including automobiles and aircraft. Reliability block diagrams derived from functional decomposition enable analysis of component failure impacts. Results demonstrate trade-offs between system cost, performance, and reliability supporting design selection.
@inproceedings{Nannapaneni2014,
author = {Nannapaneni, Saideep and Dubey, Abhishek and Abdelwahed, Sherif and Mahadevan, Sankaran and Neema, Sandeep},
booktitle = {PHM 2014 - Proceedings of the Annual Conference of the Prognostics and Health Management Society 2014},
title = {A Model-Based Approach for Reliability Assessment in Component-Based Systems},
year = {2014},
month = {oct},
abstract = {This paper describes a formal framework for reliability assessment of component-based systems with respect to specific missions. A mission comprises of different timed mission stages, with each stage requiring a number of highlevel functions. The work presented here describes a modeling language to capture the functional decomposition and missions of a system. The components and their alternatives are mapped to basic functions which are used to implement the system-level functions. Our contribution is the extraction of mission-specific reliability block diagram from these high-level models of component assemblies. This is then used to compute the mission reliability using reliability information of components. This framework can be used for real-time monitoring of system performance where reliability of the mission is computed over time as the mission is in progress. Other quantities of interest such as mission feasibility, function availability can also be computed using this framework. Mission feasibility answers the question whether the mission can be accomplished given the current state of components in the system and function availability provides information if the function is available in the future given the current state of the system. The software used in this framework includes Generic Modeling Environment (GME) and Python. GME is used for modeling the system and Python for reliability computations. The proposed methodology is demonstrated using a radio-controlled (RC) car in carrying out a simple surveillance mission.},
category = {conference},
contribution = {colab},
file = {:Nannapaneni2014-A_Model-based_approach_for_reliability_assessment_in_component_based_systems.pdf:PDF},
keywords = {reliability assessment, component-based systems, functional decomposition, mission reliability, design trade-offs},
tag = {platform},
month_numeric = {10}
}