Results 51 to 60 of about 10,974,174 (198)

Remaining useful life prognosis of turbofan engines based on deep feature extraction and fusion

Scientific Reports, 2022
In turbofan engine datasets, to address problems, such as noise interference, diverse data types, large data volumes, complex feature extraction, inability to effectively describe degradation trends, and poor remaining useful life (RUL) prognosis effects,
Cheng Peng, Yufeng Chen, Weihua Gui, Zhaohui Tang, Changyun Li   +4 more
doaj   +1 more source

Prediction of remaining useful life (RUL) of Komatsu excavator under reliability analysis in the Weibull-frailty model

PLOS ONE, 2020
Es una tarea esencial estimar la vida útil restante (RUL) de la maquinaria en el sector minero destinada a garantizar la producción y la satisfacción del cliente. En este estudio, se utilizó un marco conceptual para determinar el RUL bajo el análisis de confiabilidad en un modelo de fragilidad. El marco propuesto se implementó en una excavadora Komatsu
Awat Ghomghaleh, Reza Khaloukakaie, Mohammad Ataei, Abbas Barabadi, Ali Nouri Qarahasanlou, Omeid Rahmani, Amin Beiranvand Pour   +6 more
openaire   +4 more sources

Weibull Variational Autoencoder for Remaining Useful Life Prediction

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Remaining useful life (RUL) prediction is a critical technology for preventing unexpected failures and reducing maintenance costs in modern industrial systems. However, traditional model‐based approaches are limited by the need for explicit mathematical modeling of degradation mechanisms, while data‐driven methods often require large‐scale ...
JunWoo Yu, Yoojin Jang, Kwanghui Shin, Jinsoo Jeong, Yong Soo Kim   +4 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

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

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

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

Lithium-ion batteries Remaining Useful Life Prediction Method Considering Recovery Phenomenon

International Journal of Electrochemical Science, 2019
Estimation of lithium battery remaining useful life (RUL) is the key to lithium battery health management. In the process of intermittent discharging lithium batteries, the recovery phenomenon will have a relatively large impact on the life of lithium ...
Zhenyu Zhang, Dongxu Shen, Zhen Peng, Yong Guan, Huimei Yuan, Lifeng Wu   +5 more
doaj   +1 more source

Remaining Useful Life Prediction of High-Frequency Swing Self-Lubricating Liner

Shock and Vibration, 2021
The remaining useful life (RUL) prediction of self-lubricating spherical plain bearings is essential for replacement decision-making and the reliability of high-end equipment. The high-frequency swing self-lubricating liner (HSLL) is the key component of
Xiuhong Hao, Shuqiang Wang, Mengfan Chen, Deng Pan   +3 more
doaj   +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