Results 81 to 90 of about 9,526,985 (202)

Remaining useful life estimation : Review

, 2014
This paper reviews the recent modelling developments in estimating the remaining useful life (RUL) of industrial systems. The RUL estimation models are categorized into experimental, data driven, physics based and hybrid approaches.
Ahmadzadeh, Farzaneh,, Lundberg, Jan,
core   +1 more source

Remaining useful life prediction for ball bearings based on health indicators [PDF]

MATEC Web of Conferences, 2019
Uncertainty in remaining useful life (RUL) prediction is nowadays a scientific problem that occupies industrials. Many prognostic models have been developed to respond to this issue from probabilistic to non-probabilistic approaches.
Al Masry Zeina, Schaible Patrick, Zerhouni Noureddine, Varnier Christophe   +3 more
doaj   +1 more source

Histidine Supplementation Stabilizes Hearing and Vision and Improves Growth in HARS1‐Related Autosomal Recessive Disorder Associated With Usher‐Like Symptoms

American Journal of Medical Genetics Part A, Volume 200, Issue 10, Page 2289-2308, October 2026.
ABSTRACT Autosomal recessive HARS1‐related disorder (originally described as Usher syndrome type 3B) caused by a homozygous Y454S variant in the histidyl‐tRNA synthetase gene (HARS1) is characterized by progressive sensorineural hearing and vision loss and respiratory deterioration with risk for sudden death following febrile illnesses.
Victoria Mok Siu, Rosan Kenana, Rana Chakrabarti, Sarah D. P. Wilhelm, Joseph Andrews, Susan J. Leat, Christina Parker, Michael Miller, Leslie A. Nangle, Wendy McCaul, Ashfia Chowdhury, Natalie Hutchings, Ryan A. Adams, Lauren Guy, Mandy Rhody, Verena Juncal, Marisa I. Mendes, Desiree E. C. Smith, Gajja S. Salomons, Angelica A. Moresco, Daphne L. McCulloch, D. Holmes Morton, Ilka U. Heinemann, C. Anthony Rupar   +23 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

A Probabilistic Fractional Order Physics Informed Mamba Kolmogorov‐Arnold Network for State‐of‐Charge Estimation in Grid‐Connected Battery Energy Storage Systems

Energy Science &Engineering, Volume 14, Issue 10, Page 4734-4751, October 2026.
This paper introduces the probabilistic fractional‐order Mam‐KAN (PFO‐Mam‐KAN) controller, a physics‐informed gray‐box framework for real‐time battery state‐of‐charge estimation. By unifying efficient Mamba encoders with uncertainty‐aware fractional physics, it achieves superior 0.31% RMSE accuracy and robust grid‐support operation under dynamic ...
Arun Kumar Rawat, Subhash Chandra, Vinay Kumar Deolia   +2 more
wiley   +1 more source

State‐of‐Charge Estimation of Second‐Life Batteries Using the Federated Learning

Energy Storage, Volume 8, Issue 7, October 2026.
ABSTRACT The advancement in automobile electrification has been causing concern about retired batteries. Since the battery cannot store and deliver energy for a high‐speed vehicle when its state of health (SOH) is below 80%, this battery must have another destination.
Joelton Deonei Gotz, José Rodolfo Galvão, Fernanda Cristina Corrêa, Milton Borsato, Alceu de Souza Britto Junior, Emilson Ribeiro Viana, Nathan Mendes, Alceu André Badin   +7 more
wiley   +1 more source

Reliable Intelligent Diagnostics With Uncertainty Quantification for Mechanical System Condition Assessment

Quality and Reliability Engineering International, Volume 42, Issue 6, Page 2896-2916, October 2026.
ABSTRACT Health condition assessment of mechanical systems is essential to ensure their safe and reliable operation. Although AI‐driven diagnostic techniques have advanced significantly with the development of deep learning, the reliability of such techniques is often compromised due to the lack of uncertainty quantification (UQ)—particularly the ...
Guangjun Jiang, Haotian Ouyang, Zifei Xu
wiley   +1 more source

Remaining Useful Life Prediction Method for Electric Submersible Pump System Based on DA-RNN

Shiyou jixie
Electric submersible pump （ESP） is the main artificial lift equipment in offshore oilfields. Its operation and maintenance costs are extremely high. Once it gets out of order， it will cause losses to oilfield operations.
Yu Jifei, Ji Yuchen, Lu Xin, Sui Xianfu, Peng Jianlin, Han Guoqing, Yang Yang   +6 more
doaj   +3 more sources

Digital Twins for Offshore Wind Operation and Maintenance: A Review

Wind Energy, Volume 29, Issue 10, October 2026.
ABSTRACT Offshore wind has become a key focus for achieving carbon neutrality. However, offshore wind turbines face considerable operational and maintenance challenges due to harsh conditions and difficult access. Integrating digital twin technology helps support operation and maintenance activities.
Xiaomei Hu, Ravi Pandit, Yifan Zhao, Bernadin Namoano, Jiarong Hong   +4 more
wiley   +1 more source

Probabilistic Modeling of Li-Ion Battery Remaining Useful Life

, 2020
The degradation of lithium-ion batteries in smart grid and electric vehicle applications is a major drawback, since at some point in their life they become unable to meet minimum performance in terms of supplied voltage and power.
Elio Chiodo, Chiodo, Elio, Pasquale De Falco, De Falco, Pasquale, Luigi Pio Di Noia, Di Noia, Luigi Pio   +5 more
core   +1 more source