Results 61 to 70 of about 1,541,566 (221)

Rul prediction using moving trajectories between svm hyper planes

, 2013
A novel remaining useful life (RUL) prediction method inspired by support vector machines (SVM) classifiers is proposed. The historical instances of a system with life-time condition data are used to create a classification by SVM hyper planes.
Galar-Pascual, Diego, Tormos-Martínez, Bernardo, Huertas-Talón, José Luis, Berges-Muro, Luis, Lambán-Castillo, Ma Pilar   +4 more
core   +1 more source

Towards Reliable RUL Prediction

International Journal of Prognostics and Health Management
This study investigates feature selection techniques for predicting the Remaining Useful Life (RUL) of aircraft engines, addressing the persistent challenge of inaccurate predictions due to suboptimal feature selection. In this context, a robust methodology was developed to select optimal features for enhancing the model’s predictive power.
Gbore, Oluwasegun Oluwole, Shafiq, Mehak, Jain, Amit Kumar, McGlinchey, Don   +3 more
openaire   +2 more sources

Empirical Physics‐Based Normal Behavior Modeling of Drive Train Temperatures With High‐Resolution Wind Turbine Operating Data

Wind Energy, EarlyView.
ABSTRACT The installed wind energy capacity increases every year. However, operation and maintenance costs still make up a considerable portion of the levelized costs of electricity. This costs can be greatly reduced by the application of suitable early fault detection methods. The supervisory control and data acquisition system of wind turbines is one
Timo Lichtenstein, Victor von Maltzahn, Karoline Pelka   +2 more
wiley   +1 more source

Digital Twin and Data-Driven Remaining Useful Life Prediction of Gearbox

IEEE Access
Traditional approaches for predicting the remaining useful life (RUL) of gearboxes often face challenges in integrating physical and virtual data, leading to reduced prediction accuracy and an increased risk of system failure.
Quanbo Lu, Mei Li, Xiaojuan Huang
doaj   +1 more source

Aircraft Engines Remaining Useful Life Prediction Based on A Hybrid Model of Autoencoder and Deep Belief Network

IEEE Access, 2022
Remaining Useful Life (RUL) is used to provide an early indication of failures that required performing maintenance and/or replacement of the system in advance.
Huthaifa Al-Khazraji, Ahmed R. Nasser, Ahmed M. Hasan, Ammar K. Al Mhdawi, Hamed Al-Raweshidy, Amjad J. Humaidi   +5 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

A Novel Single‐Encounter‐Emphasise‐Attention Neural Network for Predictive Maintenance in Urban Infrastructure

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT The Riyadh Metro represents a significant project in Saudi Arabia, designed to transform urban transportation and reduce traffic congestion within the city. With six metro lines and 85 stations, the network is expected to serve millions of passengers daily, necessitating innovative digitally driven maintenance approaches to ensure reliable ...
Tawfeeq Shawly, Ahmed A. Alsheikhy
wiley   +1 more source

Unsupervised and Supervised Machine Learning Methods for Cutting Tool Path Clustering and RUL Estimation in Manufacturing [PDF]

, 2023
Machine learning has been widely used in manufacturing, leading to significant advances in diverse problems, including the prediction of wear and remaining useful life (RUL) of machine tools.
Avid Roman-Gonzalez, Roman-Gonzalez, Avid, Alberto M. Coronado, Vargas-Machuca, Juan, Coronado, Alberto M., Juan Vargas-Machuca, Zegarra, Fabio C., Fabio C. Zegarra   +7 more
core   +1 more source

A Real-Time Diagnostic System Using a Long Short-Term Memory Model with Signal Reshaping Technology for Ship Propellers

Sensors
This study develops a ship propeller diagnostic system to address the issue of insufficient ship maintenance capacity and enhance operational efficiency.
Sheng-Chih Shen, Chih-Chieh Chao, Hsin-Jung Huang, Yi-Ting Wang, Kun-Tse Hsieh   +4 more
doaj   +1 more source

A Novel Hybrid Transformer for RUL Prediction in Predictive Maintenance for Smart Manufacturing [PDF]

EAI Endorsed Transactions on Industrial Networks and Intelligent Systems
Ensuring continuous operation and minimizing unexpected failures are critical priorities in industrial manufacturing. Due to this requirement, smart manufacturing has transformed maintenance strategies, moving from traditional scheduled approaches to predictive maintenance (PdM), which leverages actual machine health conditions.
Huu Du Nguyen, Xuan Hoang Nguyen, Bich Thuong Dao, Cong Ngon Do, Thu Huong Truong   +4 more
openaire   +1 more source