Results 71 to 80 of about 26,953 (213)

Predictive Analysis of Remaining Useful Life (RUL) of Batteries: Review

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
The increasing reliance on batteries for electric vehicles, renewable energy systems, and consumer electronics has necessitated advancements in predictive models for their Remaining Useful Life (RUL). This paper reviews current methodologies for RUL prediction, focusing on machine learning techniques, data-driven approaches, and hybrid models that ...
Sakshi Belkhode, Dr. P.M. Chaudhari, Anjali Meshram, Krutika Nikhare, Shrushti Rangari, Sakshi Chimurkar   +5 more
openaire   +1 more source

‘Let's Turn the Grass Into Meat’: Animal Husbandry as Women's Work in Cold War North Korea

Gender &History, EarlyView.
ABSTRACT In postcolonial North Korea, the future of the nation was said to be a function of the feedlot. Unobtainable on the battlefields of the recently ended Korean War, liberation and unification of the peninsula became a question of competitive developmentalism.
Sunho Ko, Derek J. Kramer
wiley   +1 more source

Remaining Useful Life Estimation of MoSi₂ Heating Element in a Pusher Kiln Process

Sensors
The critical challenge of estimating the Remaining Useful Life (RUL) of MoSi2 heating elements utilized in pusher kiln processes is to enhance operational efficiency and minimize downtime in industrial applications.
Hafiz M. Irfan, Po-Hsuan Liao, Muhammad Ikhsan Taipabu, Wei Wu   +3 more
doaj   +1 more source

RUL prediction based on a new similarity-instance based approach.

, 2014
International audiencePrognostics is a major activity of Condition-Based Maintenance (CBM) in many industrial domains where safety,reliability and cost reduction are of high importance. The main objective of prognostics is to provide an estimation of the
Khelif, Racha, Malinowski, Simon, Morello, Brigitte, Zerhouni, Noureddine   +3 more
core   +2 more sources

Comparative Satellitomics in Arowanas (Telostei, Osteoglossiformes) Sheds Light on the Evolution of Ancient Satellite DNAs

Integrative Zoology, EarlyView.
This work focused on arowana fishes (Teleostei, Osteoglossiformes) as a model; their widespread intercontinental distribution and basal phylogenetic position within Teleostei make them a compelling model for evolutionary research, especially in the realm of satDNA molecular evolution. Through the integration of genomic and chromosomal data, we analyzed
Fernando Henrique Santos de Souza, Gustavo Akira Toma, Jhon Alex Dziechciarz Vidal, Manuel Angel Garrido‐Ramos, Guilherme Mota Souza, Rodrigo Zeni Dos Santos, Fábio Porto‐Foresti, Thomas Liehr, Ricardo Utsunomia, Marcelo de Bello Cioffi   +9 more
wiley   +1 more source

A data-driven failure prognostics method based on mixture of gaussians hidden markov models [PDF]

, 2012
International audienceThis paper addresses a data-driven prognostics method for the estimation of the Remaining Useful Life (RUL) and the associated confidence value of bearings.
Medjaher, Kamal, Tobon-Mejia, Diego, Tripot, Gérard, Zerhouni, Noureddine   +3 more
core   +3 more sources

Quantitative Dual‐Energy CT Perfusion Versus SPECT/CT V/Q Scintigraphy for Preoperative Lung Function Assessment: A Prospective Cohort Study

Journal of Medical Imaging and Radiation Oncology, EarlyView.
ABSTRACT Introduction Accurate preoperative physiological assessment is critical for high‐risk patients undergoing lung resection to predict postoperative lung function. This study compared quantitative dual‐energy CT (DECT) perfusion with SPECT/CT for lobar perfusion mapping in an at‐risk oncological cohort.
Jack Edward Liu, Kane Nicholls, Audree So, Siddharth M. Kulkarni, Anthony Tu Tran, Stephen A. Barnett, Amy Baker   +6 more
wiley   +1 more source

A Comprehensive Review of Artificial Intelligence-Based Algorithms for Predicting the Remaining Useful Life of Equipment

Sensors
In the contemporary big data era, data-driven prognostic and health management (PHM) methodologies have emerged as indispensable tools for ensuring the secure and reliable operation of complex equipment systems.
Weihao Li, Jianhua Chen, Sijuan Chen, Peilin Li, Bing Zhang, Ming Wang, Ming Yang, Jipu Wang, Dejian Zhou, Junsen Yun   +9 more
doaj   +1 more source

Data-Driven prognostics based on health indicator construction : Application to PRONOSTIA's Data.

, 2013
International audienceFailure prognostics can help improving the availability and reliability of industrial systems while reducing their maintenance cost.
Baklouti, Jihène, Medjaher, Kamal, Zerhouni, Noureddine   +2 more
core   +3 more sources

A One-Class Support Vector Machine Calibration Method for Time Series Change Point Detection [PDF]

, 2019
It is important to identify the change point of a system's health status, which usually signifies an incipient fault under development. The One-Class Support Vector Machine (OC-SVM) is a popular machine learning model for anomaly detection and hence ...
Chen, Yuxin, Jin, Baihong, Li, Dan, Poolla, Kameshwar, Sangiovanni-Vincentelli, Alberto   +4 more
core   +2 more sources