Publications

Displaying 1 - 25 of 31

A Simulation-Based Approach to Assess Condition Monitoring-Enabled Maintenance in Manufacturing

January 8, 2024

Author(s)

Mehdi Dadfarnia, Serghei Drozdov, Michael Sharp, Jeffrey Herrmann

Industrial Condition Monitoring Systems (CMSs) collect and evaluate system and equipment operations to support control and decision-making. Despite their usefulness, understanding the full implications of their impact presents unique and unexpected

Key Elements to Contextualize AI-Driven Condition Monitoring Systems towards Their Risk-Based Evaluation

October 11, 2022

Author(s)

Mehdi Dadfarnia, Michael Sharp

Industrial users can be justifiably hesitant in adopting Condition Monitoring Systems (CMSs) unless evidence indicates benefits from their use. Measuring a CMS's ability to prevent losses is difficult and lacks standard procedures. The increasing

Panel Summary Report: Risk Management & Industrial Artificial Intelligence, INFORMS Annual Meeting, 2021 (Virtual)

September 30, 2022

Author(s)

Mehdi Dadfarnia, Michael Sharp

Risk management is an important topic in any domain. With the growing acceptance and adoption of Industrial Artificial Intelligence (IAI), both the academic and industrial communities are beginning to take a more serious look at the risks and rewards of

Procedural Guide for System-Level Impact Evaluation of Industrial Artificial Intelligence-Driven Technologies: Application to Risk-Based Investment Analysis for Condition Monitoring Systems in Manufacturing

December 16, 2021

Author(s)

Michael Sharp, Mehdi Dadfarnia, Timothy A. Sprock, Douglas Thomas

Industrial artificial intelligence (IAI) and other analysis tools with obfuscated internal processes are growing in capability and ubiquity within industrial settings. Decision-makers share their concern regarding the objective evaluation of such tools and

Translator from Extended SysML to Physical Interaction and Signal Flow Simulation Platforms, Version 1.1

September 22, 2021

Author(s)

Raphael Barbau, Conrad Bock, Mehdi Dadfarnia

The design of complex systems often requires engineers from multiple disciplines (mechanical, electrical, production, and so on) to communicate with each other and exchange system design information. Systems engineering models are a cross-disciplinary

Understanding and Evaluating Naive Diagnostics Algorithms Applicable in Multistage Manufacturing from a Risk Management Perspective

June 21, 2020

Author(s)

Mehdi Dadfarnia, Michael Sharp, Timothy A. Sprock

The world has entered a state of unprecedented access to machine intelligence algorithms, where the ease of deployment has created a scenario where nearly every facet of life and industry has been affected by AI. Especially within industry, where the

Platform-Independent Debugging of Physical Interaction and Signal Flow Models

September 16, 2019

Author(s)

Mehdi Dadfarnia, Raphael Barbau

Systems engineering tools are used to organize development activities of a wide variety ofen gineers, many of which develop their own discipline-specific simulation models. To increase the efficiency of this process, systems modeling tools have been

Translator from Extended SysML to Physical Interaction and Signal Flow Simulation Platforms

July 2, 2019

Author(s)

Raphael Barbau, Conrad E. Bock, Mehdi Dadfarnia

Designing complex systems often requires engineers from multiple disciplines (mechanical, electrical, production, and so on) to communicate with each other and exchange system design information. Systems engineering models are a cross-disciplinary

An Extension of the Systems Modeling Language for Physical Interaction and Signal Flow Simulation

November 24, 2017

Author(s)

Conrad E. Bock, Raphael Barbau, Ion Matei, Mehdi Dadfarnia

Computer-interpretable representations of system structure and behavior are at the center of developing today's complex systems. Systems engineers create and review these representations using graphical modeling languages that capture requirements, designs

An Improved Method of Physical Interaction and Signal Flow Modeling for Systems Engineering

October 31, 2016

Author(s)

Mehdi Dadfarnia, Conrad E. Bock, Raphael Barbau

Many engineering disciplines that interact with systems engineering use simulation tools to build models based on equations, which are solved to predict physical and informational behavior over time. Both kinds of engineering are concerned with physical

Maximizing Output Power of a CFPG Micro Energy-Harvester for Wearable Medical Sensors

October 31, 2016

Author(s)

Mehdi Dadfarnia, Kamran Sayrafian, Paul Mitcheson, John Baras

Energy Harvesting refers to the process of capturing and storing energy from the ambient environment. Kinetic energy harvested from the human body motion seems to be one of the most convenient and attractive solutions for wearable wireless sensors in

Requirements Analysis for Safer Ambulance Patient Compartments

March 22, 2013

Author(s)

Mehdi Dadfarnia, Yung-Tsun T. Lee, Allison Barnard Feeney, Deogratias Kibira

Providing emergency care services in the confined space of the patient compartment of a moving ambulance is a hazardous activity. A National Institute of Standards & Technology (NIST)/Department of Homeland Security (DHS) project is applying systems

Enhancing Performance and Safety in Ambulances Through Improved Design Standards

May 18, 2012

Author(s)

Deogratias Kibira, Yung-Tsun T. Lee, Mehdi Dadfarnia

This paper describes how modeling and simulation can play a major role in developing standards recommendations for patient compartment layout of automotive ambulances in the United States to improve performance and safety. Acquiring necessary information

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