Results 61 to 70 of about 18,585 (221)

Inter and intra-hemispheric structural imaging markers predict depression relapse after electroconvulsive therapy: a multisite study. [PDF]

, 2017
Relapse of depression following treatment is high. Biomarkers predictive of an individual's relapse risk could provide earlier opportunities for prevention.
Abbott, Christopher C, Espinoza, Randall T, Hellemann, Gerhard, Joshi, Shantanu H, Leaver, Amber M, Narr, Katherine L, Sui, Jing, Wade, Benjamin SC, Woods, Roger P   +8 more
core   +3 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

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

Mean Squared Error Matrix comparison of Least Squares and Stein-Rule Estimators for Regression Coefficients under Non-normal Disturbances [PDF]

, 2006
Choosing the performance criterion to be mean squared error matrix, we have compared the least squares and Stein-rule estimators for coefficients in a linear regression model when the disturbances are not necessarily normally distributed.
Heumann, Christian, Shalabh, Toutenburg, Helge   +2 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

Intelligent Advisor System for Prescriptive Maintenance of Engineered Assets Using Failure Modes, Effects and Criticality Analysis, Knowledge Graph and Machine Learning

Artificial Intelligence for Engineering, EarlyView.
This paper presents an intelligent advisor for prescriptive maintenance that integrates FMECA, machine learning, and knowledge graphs to support fault diagnosis and root‐cause analysis. Validated on a linear actuator, the framework enhances diagnostic interpretability and traceability, linking sensor‐level anomalies to transparent knowledge‐driven ...
Hongyi Lin, Agusmian Partogi Ompusunggu
wiley   +1 more source

Methods of Technical Prognostics Applicable to Embedded Systems [PDF]

, 2012
Hlavní cílem dizertace je poskytnutí uceleného pohledu na problematiku technické prognostiky, která nachází uplatnění v tzv. prediktivní údržbě založené na trvalém monitorování zařízení a odhadu úrovně degradace systému či jeho zbývající životnosti a to ...
Krupa, Miroslav
core  

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

Data-Driven Remaining Useful Life Prediction Considering Sensor Anomaly Detection and Data Recovery

IEEE Access, 2019
Prognostics and health management (PHM) is being adopted more and more in the modern engineering systems. As one of the most important technologies in the PHM domain, remaining useful life (RUL) prediction has attracted much attention from the ...
Liansheng Liu, Qing Guo, Datong Liu, Yu Peng   +3 more
doaj   +1 more source

Remaining useful life prediction method of EV power battery for DC fast charging condition

Energy Reports, 2022
To realize the online rapid prediction of the remaining useful life (RUL) of electric vehicle (EV) power battery under direct current (DC) fast charging conditions and reduce the influence of complex health indicator (HI) on the prediction accuracy, an ...
Shaotang Cai, Jun Hu, Shuoqi Ma, Zhenning Yang, Hao Wu   +4 more
doaj   +1 more source