5 citations · 7 across the 6 of their papers we have counts for
6 papers
An Uncertainty-Informed Framework for Trustworthy Fault Diagnosis in Safety-Critical Applications
Taotao Zhou, Enrique Lopez Droguett, Ali Mosleh +1
There has been a growing interest in deep learning-based prognostic and health management (PHM) for building end-to-end maintenance decision support systems, especially due to the…
Degradation and Failure Mechanisms of Complex Systems: Principles
Tarannom Parhizkar, Theresa Stewart, Lixian Huang +1
A cyber physical human complex system failure prevents the accomplishment of the systems intended function. The failure of a complex system could be a breakdown of any system hardw…
Simulation Based Probabilistic Risk Assessment (SIMPRA): Risk Based Design
Hamed S Nejad, Tarannom Parhizkar, Ali Mosleh
The classical approach to design a system is based on a deterministic perspective where the assumption is that the system and its environment are fully predictable, and their behav…
Human Reliability Analysis for Oil and Gas Operations: Analysis of Existing Methods
Marilia Ramos, Camille Major, Nsimah Ekanem +2
In the petroleum industry, Quantitative Risk Analysis (QRA) has been one of the main tools for risk management. To date, QRA has mostly focused on technical barriers, despite many…
Guided Probabilistic Simulation of Complex Systems Toward Rare and Extreme Events
Parhizkar Tarannom, Mosleh Ali
Simulation based or dynamic probabilistic risk assessment methodologies were primarily developed for proving a more realistic and complete representation of complex systems acciden…
Physics-Informed Deep Learning: A Promising Technique for System Reliability Assessment
Taotao Zhou, Enrique Lopez Droguett, Ali Mosleh
Considerable research has been devoted to deep learning-based predictive models for system prognostics and health management in the reliability and safety community. However, there…