Results 101 to 110 of about 1,966 (214)

Digital Twin Generalization with Meta and Geometric Deep Learning

Deep digital twins (DDTs) are deep neural networks that encode the behavior of complex physical systems. DDTs are excellent system representations due to their ability to continuously adapt to operational changes and their capability to capture complex ...
Fink, Olga, Theiler, Raffael
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A REVIEW: PROGNOSTICS AND HEALTH MANAGEMENT IN AUTOMOTIVE AND AEROSPACE

International Journal of Prognostics and Health Management, 2019
Prognostics and Health Management (PHM) attracts increasing interest of many researchers due to its potentially important applications in diverse disciplines and industries.
Van Duc Nguyen, Marios Kefalas, Kaifeng Yang, Asteris Apostolidis, Markus Olhofer, Steffen Limmer, Thomas Bäck   +6 more
doaj   +1 more source

Financial and risk assessment and selection of health monitoring system design options for legacy aircraft [PDF]

, 2013
Aircraft operators demand an ever increasing availability of their fleets with constant reduction of their operational costs. With the age of many fleets measured in decades, the options to face these challenges are limited.
Esperon Miguez, Manuel
core  

A framework for asset prognostics from fleet data

, 2016
Prognostics of a specific asset based on data from a fleet of same assets, but operated in different environmental and operational conditions is an important and common problem in Prognostics and Health Management (PHM).
Liu, Jie, ZIO, ENRICO, Jie Liu, Enrico Zio   +3 more
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PHM SURVEY : IMPLEMENTATION OF DIAGNOSTIC METHODS FOR MONITORING INDUSTRIAL SYSTEMS

International Journal of Prognostics and Health Management, 2019
The modernization of industrial sectors involves the use of complex industrial systems and therefore requires condition based maintenance. This one aims at increasing the operational availability and reducing the life-cycle while increasing the ...
Abdenour Soualhi, Bilal Elyousfi, Yasmine Hawwari, Kamal Medjaher, Guy Clerc, Razik Hubert, François Guillet   +6 more
doaj   +1 more source

Comparing Feature and Trajectory-Based Remaining Useful Life Modeling of Electrical Resistance Heating Wires

Industrial heating significantly contributes to global greenhouse gas emissions, accounting for a substantial portion of annual emissions. The transition to fossil-free operations in the heating industry is closely linked to advancements in industrial ...
Kyprianidis, Konstantinos,, Mählkvist, Simon, Helander, Thomas, Söderkvist Vermelin, Wilhelm,, Kyprianidis, Konstantinos, Söderkvist Vermelin, Wilhelm, Mählkvist, Simon,, Helander, T.,   +7 more
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New Machine Learning Methods for Prognostic and Health Management PHM [PDF]

2021 4th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS), 2021
openaire   +1 more source

Real time diagnostics and prognostics of UAV lithium-polymer batteries

, 2019
This paper examines diagnostics and prognostics of Lithium-Polymer (Li-Po) batteries for unmanned aerial vehicles (UAVs). Several discharge voltage histories obtained during actual indoor flights constitute the training data for a data-driven approach ...
Karvelis, Petros (author), Georgoulas, George (author), Eleftheroglou, N. (author), Nikolakopoulos, George (author), Zarouchas, D. (author), Mansouri, Sina Sharif (author), Benedictus, R. (author), Loutas, Theodoros (author)   +7 more
core  

Failure modes and non-destructive testing techniques for fiber-reinforced polymer composites

Journal of Materials Research and Technology
Prognostics and health management (PHM) is an enabling technology essential for the safe operation and conditional maintenance of any engineering system.
Muhammad Muzammil Azad, Jaehyun Jung, Muhammad Umar Elahi, Muhammad Sohail, Prashant Kumar, Heung Soo Kim   +5 more
doaj   +1 more source

Battery prognostics using a self-cognizant dynamic system approach

, 2015
Click on the DOI link to access the article (may not be free).This paper proposes a new self-cognizant dynamic system approach for Battery PHM, that incorporates an artificial neural network model into a dual extended Kalman filter (DEKF) algorithm.
Guangxing Bai, Wang, Pingfeng, Pingfeng Wang, Bai, Guangxing   +3 more
core   +1 more source