Search Results - ali+mosleh

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Copyright: Phoenix Human Reliability Analysis Tool (Case No. 2023-088)
Summary: UCLA researchers in the Garrick Institute for the Risk Sciences have developed a software for performing human reliability analyses using a model-based method, which provides more consistent, traceable, and reproducible results. Background: Statistical data regarding accidents in complex person operated technical systems indicate a significant...
Published: 6/24/2024   |   Inventor(s): Marilia Ramos, Ali Mosleh, Mihai Diaconesa, Arjun Earthperson, Wadie Chalgham, Javier Colin
Keywords(s): Bayesian Belief Network (BBNs), cognitive reliability, crew failure mode, crew response tree, crew-plant interactions, error identification, error probability, Fault tree, HRA, human error, human failure event, human reliability analysis, performance influencing factor, probabilistic risk assessment, risk management, risk mitigation, safety culture, task analysis
Category(s): Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Data Analytics, Energy & Environment, Energy & Environment > Energy Storage, Energy & Environment > Energy Transmission
2022-279 Pipeline System Integrity Management (PSIM)
Summary: UCLA researchers in the B. John Garrick Institute for Risk Sciences have developed a user-friendly software that utilizes real-time data and comprehensive failure models to help natural gas operators optimize mitigation actions to enhance the structural reliability and safety of a pipeline system. Background: There is over 2.6 million miles...
Published: 7/19/2023   |   Inventor(s): Ali Mosleh, Wadie Chalgham, Keo-Yuan Wu, Zahra Mahmoodzadeh Poornaki
Keywords(s): Artificial Intelligence, Control Systems, Corrosion, Extraction Of Petroleum, Industrial Gases, Internal Combustion Engine, Mechanical Systems, Monitoring And Recording Systems, Natural Gas, Petroleum Carbohydrate, Petroleum Reservoir, Prognosis, Risk Assessment, Water Injection (Oil Production)
Category(s): Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Energy & Environment > Energy Storage, Energy & Environment > Energy Transmission, Medical Devices > Monitoring And Recording Systems, Software & Algorithms > Data Analytics, Energy & Environment > Energy Storage > Gas Storage
PMU-Embedded Analytics for Online Event Detection and Classification in Power Grids
The energy requirement of the world is increasing exponentially every year. With the power demand sites concentrated in the region with the highest population density, energy production sites must be located remotely. This isolation requires lengthy and complicated grids to be designed and manufactured to transmit power over long distances. Grid failures...
Published: 7/30/2024   |   Inventor(s): Payman Dehghanian, Shiyuan Wang, Li Li
Keywords(s):  
Category(s): Technology Classifications > Industrial or Consumer Tech > Energy Infrastructure and Environment
Distributed Feedback Fiber Laser Pumped by Multimode Diode Lasers
Researchers at the University of Arizona College of Optical Sciences and Canada's Carleton University recently succeeded in fabricating high reflectivity (>99%) Fiber Bragg Gratings (FBGs) into phosphate glass fibers using UV light and a phase mask technique. With this new manufacturing technique, fiber lasers can be created as single monolithic...
Published: 4/3/2023   |   Inventor(s): Nasser Peyghambarian, Axel Schülzgen, Li Li, Jacques Albert
Keywords(s):  
Category(s): Technology Classifications > Imaging & Optics, Technology Classifications > Imaging & Optics > Lasers & Other Sources
All-Fiber Multicore Fiber Laser Devices
Researchers at the University of Arizona have developed a compact, power-scalable, alignment-free fiber laser that takes a new approach to stabilizing phase-locked operation of multi-core fiber lasers by completely removing all free space optical components. This high-brightness, all-fiber laser package uses passive optical fiber spliced at both ends...
Published: 4/3/2023   |   Inventor(s): Nasser Peyghambarian, Axel Schülzgen, Li Li
Keywords(s):  
Category(s): Technology Classifications > Imaging & Optics, Technology Classifications > Imaging & Optics > Fiber Optics, Technology Classifications > Imaging & Optics > Lasers & Other Sources