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Model-Based System Architecting and Decision-Making
We explore the application of MBSE for conceptual system architecting. Choosing an architecture is a fundamental activity. Our Model-Based System...
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Digital Twin: Key Enabler and Complement to Model-Based Systems Engineering
Digital twin, a concept introduced in 2002 and popularized in the last several years, has become increasingly more relevant to model-based system...
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MBSE Validation and Verification
The Lunar Atmosphere Dust Environment Explorer (LADEE) mission orbited the moon in order to measure the density, composition, and time variability of...
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Managing Model-Based Systems Engineering Efforts
Despite advances and substantial investments in applying model-based systems engineering (MBSE) across the systems engineering community, approaches...
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Multi-model-Based Decision Support in Pandemic Management
The ongoing COVID-19 pandemic has drawn the world’s attention to several shortcomings in the planning and decision-making infrastructure, testing...
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NSOSA: A Case Study in Early Phase Architecting
Systems engineering happens throughout a system’s lifecycle, including at its earliest conceptual phases. Systems engineering can be based on models...
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Cybersecurity Systems Modeling: An Automotive System Case Study
Modern automotive systems are increasingly complex and interconnected, providing enhanced services and functionalities, such as improving driver...
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Transitioning from Observation to Patterns: A Real-World Example
The systems engineering community of practitioners, researchers, and educators are in the process of transitioning to model-based systems engineering...
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Pattern-Based Methods and MBSE
PatternsPatterns are recurring regularities, having fixed and variable parts, across engineered systems, systems of engineering, production,...
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Reliability Characteristics and Optimization of Warm Standby Systems
This chapter presents reliability characteristics and optimal redundancy allocation of k-out-of-n warm standby systems consisting of identical...
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Data Mining Methods and Applications
In this chapter, we provide a review of the knowledge discovery process, including data handling, data mining methods and software, and current...
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Reliability of Electronic Packaging
In the semiconductor industry, the study of reliability and the ability to predict temperature cycling fatigue life of electronic packaging are of...
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Continuous-Time Predictive Maintenance Modeling with Dynamic Decision Framework
Digital technologies improve the information collected on systems and allow the development of condition-based maintenance policies and models using...
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Covariance Estimation via the Modified Cholesky Decomposition
In many engineering applications, estimation of covariance and precision matrices is of great importance, hel** researchers understand the...
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Statistical Analysis of Modern Reliability Data
Reliability analysis has been using time-to-event data, degradation data, and recurrent event data, while the associated covariates tend to be simple...
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Statistical Machine Learning
We are living in the golden era of machine learning as it has been deployed in various applications and fields. It has become the statistical and...
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Environmental Risks Analysis Using Satellite Data
In this chapter the methodology of risk assessment and decision making in the field of environmental security is analyzed in view of complex novel...
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Statistical Methods for Quality and Productivity Improvement
The first section of this chapter introduces statistical process control (SPC) and robust design (RD), two important statistical methodologies for...
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Statistical Models for Monitoring the High-Quality Processes
One important application of statistical models in the industry is statistical process control. Many control charts have been developed and used in...
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Statistical Maintenance Modeling
The first part of this chapter provides a brief introduction to statistical maintenance modeling subject to multiple failure processes. It includes a...