Results 61 to 70 of about 9,526,985 (202)

Shapelet-based remaining useful life estimation.

, 2014
International audienceIn the Prognostics and Health Management domain, estimating the remaining useful life (RUL) of critical machinery is a challenging task.
Morello, Brigitte, Zerhouni, Noureddine, Simon Malinowski, Brigitte Chebel-Morello, Noureddine Zerhouni, Malinowski, Simon   +5 more
core   +1 more source

Review on State Estimation and Remaining Useful Life Prediction Methods for Lithium-ion Battery

发电技术, 2023
Accurate estimation of state of charge (SOC), battery state of health (SOH) and prediction of battery remaining useful life (RUL) of lithium-ion battery are important contents of battery management. It is of great significance to prolong battery life and
ZHAO Jiahui, TIAN Liting, CHENG Lin
doaj   +1 more source

Portfolio‐Level Reliability Analysis of a Multi‐Asset System: A Frailty Proportional Intensity Modeling Framework

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Understanding and modeling the equipment failure behavior is crucial for reducing downtime, optimizing maintenance strategies, and improving operational safety. This challenge becomes particularly critical in industrial contexts involving multi‐asset portfolios, where heterogeneous conditions influence the reliability of individual assets and,
Zeynab Allahkarami, Ahmad Reza Sayadi, Behzad Ghodrati, Ebru Turanoglu Bekar, Anders Skoogh   +4 more
wiley   +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

Fault Diagnosis and Prediction of Remaining Useful Life (RUL) of Rolling Element Bearing : A review state of art [PDF]

Fault diagnosis of rolling element bearings is a critical aspect of machine maintenance and reliability. Bearings are extensively used in various industrial applications, and their failure can lead to costly downtime and equipment damage.
R. V. Bhandare, V. M. Phalle, P. B. Kushare, Mogal, Shyam   +3 more
core   +1 more source

Metal‐Catalyzed Benzannulation: Recent Advances in Catalyst Design, Mechanistic Insights, and Aromatic Framework Construction

The Chemical Record, EarlyView.
This review offers a contemporary overview of metal‐catalyzed benzannulation (2018–present) encompassing transition, main‐group, post‐transition, and rare‐earth‐metal catalysts. It systematically highlights catalyst design, mechanistic insights, stereo‐ and regioselectivity, and synthetic applications toward aromatic and heteroaromatic scaffolds, while
Sana Jamshaid, Divya Shrestha, Raju S. Thombal, Jeung Gon Kim, Kim Seong Cheol, Yong Rok Lee   +5 more
wiley   +1 more source

RUL Estimation Enhancement using Hybrid Deep Learning Methods

International Journal of Prognostics and Health Management, 2021
The turbofan engine is one of the most critical aircraft components. Its failure may introduce unwanted downtime, expensive repair, and affect safety performance.
Ikram Remadna, Labib Sadek Terrissa, Soheyb Ayad, Nourddine Zerhouni   +3 more
doaj   +1 more source

NanoSentry: An Edge‐Deployable Unified Neural Architecture for Multi‐Domain Industrial Prognostics and Health Management

Artificial Intelligence for Engineering, EarlyView.
NanoSentry, a sub‐50 KiB unified architecture for multi‐domain prognostics, matches or outperforms models 4.5× $4.5\times $ larger across turbofan, battery, and bearing benchmarks while reducing end‐of‐life prediction error up to 5.8× $5.8\times $. Physical STM32H7 deployment confirms sub‐3 ms inference and up to 26 KiB peak SRAM without quantisation ...
Naem Azam Chowdhury, Abu Nasek, Khan Prottoy, Md Hamid Borkot Tulla, Jafor Sadik Chowdhury   +4 more
wiley   +1 more source

Short‐Term Multi‐Horizon Line Loss Rate Forecasting of a Distribution Network Using Attention‐GCN‐LSTM

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Accurately predicting line loss rates is crucial for effective management in distribution networks, particularly for short‐term multihorizon forecasts ranging from 1 hour to 1 week. In this study, we propose attention‐GCN–LSTM, a novel method that integrates graph convolutional networks (GCN), long short‐term memory (LSTM) and a three‐level ...
Jie Liu, Yijia Cao, Yong Li, Yixiu Guo, Wei Deng   +4 more
wiley   +1 more source

Machine performance degradation assessment and remaining useful life prediction using proportional hazard model and SVM [PDF]

This paper proposes a three-stage method involved system identification techniques, proportional hazard model, and support vector machine for assessing the machine health degradation and forecasting the machine remaining useful life (RUL).
Tran, Van Tung
core   +1 more source