Results 41 to 50 of about 11,244 (210)

Disentangling Aleatoric and Epistemic Uncertainty in Physics‐Informed Neural Networks: Application to Insulation Material Degradation Prognostics

Advanced Intelligent Systems, EarlyView.
Physics‐Informed Neural Networks (PINNs) provide a framework for integrating physical laws with data. However, their application to Prognostics and Health Management (PHM) remains constrained by the limited uncertainty quantification (UQ) capabilities.
Ibai Ramirez, Jokin Alcibar, Joel Pino, Mikel Sanz, Jose I. Aizpurua   +4 more
wiley   +1 more source

A Multi-Featured Factor Analysis and Dynamic Window Rectification Method for Remaining Useful Life Prognosis of Rolling Bearings

Entropy, 2023
Currently, the research on the predictions of remaining useful life (RUL) of rotating machinery mainly focuses on the process of health indicator (HI) construction and the determination of the first prediction time (FPT).
Cheng Peng, Yuanyuan Zhao, Changyun Li, Zhaohui Tang, Weihua Gui   +4 more
doaj   +1 more source

A Similarity-Based Prognostics Approach for Remaining Useful Life Prediction [PDF]

, 2014
Physics-based and data-driven models are the two major prognostic approaches in the literature with their own advantages and disadvantages. This paper presents a similarity-based data-driven prognostic methodology and efficiency analysis study on ...
Camci, Faith, Eker, Ömer Faruk, Jennions, Ian K.   +2 more
core   +1 more source

Integrated Bayesian Framework for Remaining Useful Life Prediction.

, 2014
International audienceIn this paper, a data-driven method for remaining useful life (RUL) prediction is presented. The method learns the relation between acquired sensor data and end of life time (EOL) to predict the RUL.
Medjaher, Kamal, Mosallam, Ahmed, Zerhouni, Noureddine   +2 more
core   +2 more sources

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, EarlyView.
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

Remaining Useful Life Prediction of Quay Crane Hoist Gearbox Bearing under Dynamic Operating Conditions Based on ARIMA-CAPF Framework

Shock and Vibration, 2021
The remaining useful life (RUL) prediction of quay crane (QC) bearings is of great significance to port production safety. An RUL prediction framework of QC bearing under dynamic conditions is proposed.
Zhiwei Sun, Xiong Hu, Kai Dong
doaj   +1 more source

Green Innovation and Firm Efficiency: The Role of Institutional Quality in Italian High‐Tech Manufacturing Sectors

Business Strategy and the Environment, EarlyView.
ABSTRACT The aim of this research is to verify whether institutional quality affects the relationship between green innovation and firm efficiency within the high‐tech manufacturing sectors. To estimate jointly the parameters of a stochastic frontier and the coefficients of a model explaining technical inefficiency, we employed the one‐step estimation ...
Mariarosaria Agostino, Sandro Rondinella, Marianna Succurro   +2 more
wiley   +1 more source

A New Model for Remaining Useful Life Prediction Based on NICE and TCN-BiLSTM under Missing Data

Machines, 2022
The Remaining Useful Life (RUL) prediction of engineering equipment is bound to face the situation of missing data. The existing methods of RUL prediction for such cases mainly take “data generation—RUL prediction” as the basic idea but are often limited
Jianfei Zheng, Bowei Zhang, Jing Ma, Qingchao Zhang, Lihao Yang   +4 more
doaj   +1 more source

Circuit breaker prognostics using SF6 data [PDF]

, 2011
Control decisions within future energy networks may take account of the health and condition of network assets, pushing condition monitoring within the smart grid remit.
Catterson, Victoria, Johnstone, Carl, Mcarthur, Stephen, Rudd, Susan   +3 more
core   +1 more source

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