Results 81 to 90 of about 64,977 (263)

MLOps for PHM Systems

open access: yesPHM Society Asia-Pacific Conference, 2023
Advances in machine learning (ML) techniques allow practitioners to generate substantial predictive value from historical data. Modern sensors generate vast amounts of data which inform prognostic health management (PHM) systems. As ML techniques continue to grow in importance for PHM, the system that manages and deploys ML models becomes critical for ...
openaire   +1 more source

Early‐Life Exposures and Risk of Multiple Myeloma: A Population‐Based Case–Control Study in Australia

open access: yesInternational Journal of Cancer, EarlyView.
Early‐life exposures may influence immune system development and, in turn, affect cancer susceptibility. In this population‐based case‐control study, the authors examined whether in utero or early childhood exposures were associated with the risk of developing multiple myeloma in adulthood.
Zhuoyu Sun   +10 more
wiley   +1 more source

Binuclear Copper‐Dependent Oxidative Enzymes Involved in Fungal Natural Product Modifications

open access: yesJournal of the Chinese Chemical Society, EarlyView.
This article summarizes recent biochemical characterizations of a new enzyme family named by the authors as binuclear copper‐dependent oxidative enzymes (BiNCOs). Found in fungal natural product biosynthesis, BiNCOs catalyze diverse CH functionalization reactions, including C(sp3)H halogenation, C(sp3)H hydroxylation, C(sp3)O macrocyclization, and ...
Chen‐Yu Chiang, Masao Ohashi, Yi Tang
wiley   +1 more source

Enhanced algorithm for predictive maintenance to detect turbocharger overspeed in diesel engine rail vehicles

open access: yesScientific Reports
The reliability and safety of locomotives is crucial for efficient train operation. Repeated turbocharger failures in Israel Railways locomotive fleet have raised serious safety concerns.
Gabriel Davidyan   +2 more
doaj   +1 more source

A Comprehensive Evaluation Method of Sensor Selection for PHM Based on Grey Clustering

open access: yesSensors, 2020
Sensor selection plays an essential and fundamental role in prognostics and health management technology, and it is closely related to fault diagnosis, life prediction, and health assessment.
Fei Guan   +3 more
doaj   +1 more source

D5.5 PHM Performance

open access: yes, 2019
This document will outline the different performance values of the overall PHM architecture inside the test facility. Time dependent evolutions of certain plant health related values will be given and sources for disturbances/failures will be analyzed.
Zeidler, Conrad   +5 more
openaire   +1 more source

Neuroprotective effects of quercetin in animal models of neurodegenerative diseases: A systematic review and meta‐analysis

open access: yesJournal of the Science of Food and Agriculture, EarlyView.
Abstract Neurodegenerative conditions such as Alzheimer's disease and Parkinson's disease are characterized by progressive neuronal loss driven by oxidative stress and inflammation. Quercetin, a dietary flavonoid with established antioxidant and anti‐inflammatory properties, has emerged as a potential neuroprotective agent.
In Ho Cho   +6 more
wiley   +1 more source

INDUSTRIAL BIG DATA PIPELINE FOR WIND TURBINE PHM IN A LARGE MANUFACTURING FACILITY

open access: yesInternational Journal of Prognostics and Health Management, 2019
Wind turbines generate a wealth of data which can be effectively used to improve maintenance strategies and drive down operations and maintenance ( O & M ) costs, which account for 20-25 % of the cost of generation of wind energy.
Kevin Leahy   +3 more
doaj   +1 more source

PHM of Proton-Exchange Membrane Fuel Cells - A review. [PDF]

open access: yes, 2013
International audienceFuel Cell (FC) systems are promising power-generation sources that are more and more presented as a good alternative to current energy converters such as internal combustion engines.
Gouriveau, Rafael   +4 more
core   +3 more sources

Feasibility Study of a PHM System for Electro-hydraulic Servo-actuators for Primary Flight Controls

open access: yesAnnual Conference of the PHM Society, 2018
Electro-Hydraulic Servo-Actuators (EHSA) are by far the mostly used type of actuators in aircraft primary flight control systems. Though electrical actuation is been considered since long as a possible replacement of hydraulic actuation for aircraft ...
Sylvain Autin   +5 more
semanticscholar   +1 more source

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