Mohammad Modarres
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View article: Complex System Diagnostics Using a Knowledge Graph-Informed and Large Language Model-Enhanced Framework
Complex System Diagnostics Using a Knowledge Graph-Informed and Large Language Model-Enhanced Framework Open
This paper presents a hybrid diagnostic framework that integrates Knowledge Graphs (KGs) with Large Language Models (LLMs) to support fault diagnosis in complex, high-reliability systems such as nuclear power plants. The framework is based…
View article: NormXLogit: The Head-on-Top Never Lies
NormXLogit: The Head-on-Top Never Lies Open
With new large language models (LLMs) emerging frequently, it is important to consider the potential value of model-agnostic approaches that can provide interpretability across a variety of architectures. While recent advances in LLM inter…
View article: RepMatch: Quantifying Cross-Instance Similarities in Representation Space
RepMatch: Quantifying Cross-Instance Similarities in Representation Space Open
Advances in dataset analysis techniques have enabled more sophisticated approaches to analyzing and characterizing training data instances, often categorizing data based on attributes such as ``difficulty''. In this work, we introduce RepM…
View article: Measuring and Indexing the Durability of Electrical and Electronic Equipment
Measuring and Indexing the Durability of Electrical and Electronic Equipment Open
Due to the large and unsustainable use of valuable natural resources and electronic waste generation worldwide, which poses risks to human health and the environment, different organizations have initiated efforts to shift from a linear ec…
View article: Sustainable automotive supply chain in the presence of disruption and government intervention
Sustainable automotive supply chain in the presence of disruption and government intervention Open
This paper aims to develop and simulate a green automotive supply chain model (ASC) consisting of one supplier, one manufacturer, and two types of products (green and non-green) under disruption risks (DRs). The greening effort ( i.e ., el…
View article: Predicting System Degradation with a Guided Neural Network Approach
Predicting System Degradation with a Guided Neural Network Approach Open
Evaluating the physical degradation behavior and estimating the lifetime of engineering systems and structures is crucial to ensure their safe and reliable operation. However, measuring lifetime through actual operating conditions can be a…
View article: Modeling of Switching Power Losses in Cascaded H-Bridges With Unipolar PWM
Modeling of Switching Power Losses in Cascaded H-Bridges With Unipolar PWM Open
This paper studies the extraction of an equivalent resistance for calculation of the switching power losses in cascaded H-bridge multilevel inverters with unipolar pulse width modulation. The concept of local and global rms currents and sw…
View article: Sustainable Trade Promotions in Case of Negative Demand Disruption in E-Commerce
Sustainable Trade Promotions in Case of Negative Demand Disruption in E-Commerce Open
In this research, we examine the impact of a negative demand disruption on trade promotions strategy, where suppliers offer discounted prices to online supply chain retailers. To analyze the various factors that affect trade promotion stra…
View article: The Need for a Durability Index Framework for Electrical and Electronic Equipment to Support a Circular Economy
The Need for a Durability Index Framework for Electrical and Electronic Equipment to Support a Circular Economy Open
Enabling a circular economy aims to reduce the amount of global waste generated from electrical and electronic equipment, mitigate the associated risk to the ecosystem and human health, and address concerns over limited material resources.…
View article: A deep adversarial approach based on multisensor fusion for remaining useful life prognostics
A deep adversarial approach based on multisensor fusion for remaining useful life prognostics Open
Multi-sensor systems are proliferating the asset management industry and by proxy, the structural health management community.Asset managers are beginning to require a prognostics and health management system to predict and assess maintena…
View article: Applying User Surveys and Accelerated Tests Data to Estimate Reliability of New Consumer Products Using a Discrete Life Distribution Model
Applying User Surveys and Accelerated Tests Data to Estimate Reliability of New Consumer Products Using a Discrete Life Distribution Model Open
Assessing the reliability of consumer products that are subject to random discrete damage is critical during their design. Previous studies have approximated a continuous life distribution for consumer products by treating the occurrence (…
View article: Big Machinery Data Preprocessing Methodology for Data-Driven Models in Prognostics and Health Management
Big Machinery Data Preprocessing Methodology for Data-Driven Models in Prognostics and Health Management Open
Sensor monitoring networks and advances in big data analytics have guided the reliability engineering landscape to a new era of big machinery data. Low-cost sensors, along with the evolution of the internet of things and industry 4.0, have…
View article: Big Machinery Data Preprocessing Methodology for Data-Driven Models in Prognostics and Health Management
Big Machinery Data Preprocessing Methodology for Data-Driven Models in Prognostics and Health Management Open
Sensor monitoring networks and advances in big data analytics have guided the reliability engineering landscape to a new era of big machinery data. Low-cost sensors, along with the evolution of the internet of things and industry 4.0, have…
View article: Foreword: Selected papers from the 16th International Topical Meeting on Probabilistic Safety Assessment and Analysis (PSA 2019)
Foreword: Selected papers from the 16th International Topical Meeting on Probabilistic Safety Assessment and Analysis (PSA 2019) Open
Probabilistic risk methods to assess, analyze, gain insights, and guide regulation for nuclear safety in facilities have been instrumental and critical tools in the United States and throughout the...
View article: Remaining Useful Life Estimation through Deep Learning Partial Differential Equation Models: A Framework for Degradation Dynamics Interpretation Using Latent Variables
Remaining Useful Life Estimation through Deep Learning Partial Differential Equation Models: A Framework for Degradation Dynamics Interpretation Using Latent Variables Open
Remaining useful life (RUL) estimation is one of the main objectives of prognostics and health management (PHM) frameworks. For the past decade, researchers have explored the application of deep learning (DL) regression algorithms to predi…
View article: Detecting factors associated with polypharmacy in general practitioners’ prescriptions: A data mining approach
Detecting factors associated with polypharmacy in general practitioners’ prescriptions: A data mining approach Open
Prescribing and consuming drugs more than necessary is considered as polypharmacy, which is both wasteful and harmful. The purpose of this paper is to establish an innovative data mining framework for analyzing physicians’ prescriptions re…
View article: A Review of Data-Driven Oil and Gas Pipeline Pitting Corrosion Growth Models Applicable for Prognostic and Health Management
A Review of Data-Driven Oil and Gas Pipeline Pitting Corrosion Growth Models Applicable for Prognostic and Health Management Open
Pitting corrosion is a primary and most severe failure mechanism of oil and gas pipelines. To implement a prognostic and health management (PHM) for oil and gas pipelines corroded by internal pitting, an appropriate degradation model is re…
View article: Probabilistic Approach for Nondestructive Detection of Fatigue Crack Initiation and Sizing
Probabilistic Approach for Nondestructive Detection of Fatigue Crack Initiation and Sizing Open
Early detection of a growing crack is one of the concerns in structural integrity and can be used to predict the remaining useful life of a structure. Acoustic Emission (AE) is a nondestructivetesting method with potential applications for…
View article: Probabilistic Life Models for Steel Structures Subject to Creep- Fatigue Damage
Probabilistic Life Models for Steel Structures Subject to Creep- Fatigue Damage Open
When metal structures are subjected to long-term cyclic loading at high temperature, simultaneous creep and fatigue damage may occur. In this paper probabilistic life models, described by hold times in tension and total strain range at ele…
View article: Improved Probabilistic Modeling of Multi-Site Fatigue Cracking
Improved Probabilistic Modeling of Multi-Site Fatigue Cracking Open
The purpose of this paper is to investigate the effect of fatigue, in the presence of neighboring cracks, and to integrate that into a model that could be used to predict crack growth. A total of 20 fatigue experiments were performed at di…
View article: Uncovering the Underlying Physics of Degrading System Behavior Through a Deep Neural Network Framework: The Case of Remaining Useful Life Prognosis
Uncovering the Underlying Physics of Degrading System Behavior Through a Deep Neural Network Framework: The Case of Remaining Useful Life Prognosis Open
Deep learning (DL) has become an essential tool in prognosis and health management (PHM), commonly used as a regression algorithm for the prognosis of a system's behavior. One particular metric of interest is the remaining useful life (RUL…
View article: Neural Network and Particle Filtering: A Hybrid Framework for Crack Propagation Prediction
Neural Network and Particle Filtering: A Hybrid Framework for Crack Propagation Prediction Open
Crack detection, length estimation, and Remaining Useful Life (RUL) prediction are among the most studied topics in reliability engineering. Several research efforts have studied physics of failure (PoF) of different materials, along with …
View article: A Particle Swarm Optimization Algorithm for Solving Pricing and Lead Time Quotation in a Dual-Channel Supply Chain with Multiple Customer Classes
A Particle Swarm Optimization Algorithm for Solving Pricing and Lead Time Quotation in a Dual-Channel Supply Chain with Multiple Customer Classes Open
The combination of traditional retail channel with direct channel adds a new dimension of competition to manufacturers’ distribution system. In this paper, we consider a make-to-order manufacturer with two channels of sale, sale through re…
View article: Layout Optimization of Multi-Type Sensors and Human Inspection Tools With Probabilistic Detection of Localized Damages for Pipelines
Layout Optimization of Multi-Type Sensors and Human Inspection Tools With Probabilistic Detection of Localized Damages for Pipelines Open
In this paper, a new layout optimization approach for health monitoring of locally damaged and non-piggable segments of pipelines is presented. In contrast to the existing literature, the proposed optimization-based approach considers (i) …
View article: Conference Proceedings Report: ASME-SERAD and UMD-CRR Interactive seminar & pre-workshop on the intersection of PRA and PHM
Conference Proceedings Report: ASME-SERAD and UMD-CRR Interactive seminar & pre-workshop on the intersection of PRA and PHM Open
This event is the first in a two-part series exploring the intersection of PRA and PHM in the context of complex engineering systems. Initially the workshop was planned as a fully in-person workshop to be held in April, 2020, but as with m…