Results 91 to 100 of about 234,412 (208)

Intelligent Fault Diagnosis of Gas Pressure Regulator Based on AE-GWO-SVM Algorithm

Automation
A pressure regulator is essential for pressure control in a gas transmission system. The traditional maintenance approaches for pressure regulators involve equipment disassembly that disrupts normal production.
Shunyuan Hu, Zhixiang Dai, Keqing Zhang, Jingjian Liu, Qing Wen, Yanhua Qiu, Weidong Li   +6 more
doaj   +1 more source

Evaluating Reconstruction-Based and Proximity-Based Methods: A Four-Way Comparison (AE, LSTM-AE, OCSVM, IF) in SCADA Anomaly Detection Under Inverted Imbalance

Future Internet
This article investigates and compares four unsupervised anomaly detection algorithms: the Autoencoder (AE), LSTM-Autoencoder (LSTM-AE), One-Class SVM (OCSVM), and the Isolation Forest (IF). The analysis focuses on SCADA telemetry data from an urban wind
Lukasz Pawlik
doaj   +1 more source

Multi-view-AE: A Python package for multi-view autoencoder models

Journal of Open Source Software, 2023
Ana Lawry Aguila, Alejandra Jayme, Nina Montaña Brown, Vincent Heuveline, André Altmann   +4 more
openaire   +2 more sources

Investigation of an Optimized Linear Regression Model with Nonlinear Error Compensation for Tool Wear Prediction

Machines
To solve the problem of insufficient accuracy in tool wear process modeling and Remaining Useful Life (RUL) estimation, this study proposes a two-stage prediction method.
Lihua Shen, Baorui Du, He Fan, Hailong Yang   +3 more
doaj   +1 more source

Spatially-aware unsupervised anomaly detection for soil stress monitoring using graph autoencoders in precision agriculture

Frontiers in Sustainable Food Systems
IntroductionEarly detection of crop stress in precision agriculture is hindered by complex multivariate sensor interactions, spatial variability across fields, and the scarcity of labeled anomaly data.
S. V. Sharvani, M. S. Suruthi, S. G. Rahul, T. M. Amirthalakshmi, M. Gayathri, D. Subitha   +5 more
doaj   +1 more source

Ae$$^2$$I: A Double Autoencoder for Imputation of Missing Values

The most common strategy of imputing missing values in a table is to study either the column-column relationship or the row-row relationship of the data table, then use the relationship to impute the missing values based on the non-missing values from other columns of the same row, or from the other rows of the same column.
openaire   +2 more sources

An investigation on the diagnostics and prognostic capabilities of acoustic emission (AE) on a spur gearbox

, 2005
The aim of this research project is to explore a new technique, Acoustic Emission (AE), on both the diagnostic and prognostic capabilities in monitoring gear teeth degradation (pitting), and compare with the more widely used techniques such as ...
Tan, Chee Keong
core   +4 more sources

Autoencoder-Based Detection of Dynamic Allostery Triggered by Ligand Binding Based on Molecular Dynamics

, 2019
Dynamic allostery on proteins, triggered by regulator binding or chemical modifications, transmits information from the binding site to distant regions, dramatically altering protein function.
Yuko Tsuchiya (19404), Yasushige Yonezawa (2383852), Kei Taneishi (61221)   +2 more
core   +1 more source

Improving Recognition of Defective Epoxy Images in Integrated Circuit Manufacturing by Data Augmentation

Sensors
This paper discusses the problem of recognizing defective epoxy drop images for the purpose of performing vision-based die attachment inspection in integrated circuit (IC) manufacturing based on deep neural networks.
Lamia Alam, Nasser Kehtarnavaz
doaj   +1 more source

Variational Autoencoder to Obtain High Resolution Wind Fields from Reanalysis Data

Wind
Accurate wind flow prediction is essential for various applications, including the placement of wind turbines and a multitude of environmental assessments.
Bernhard Rösch, Konstantin Zacharias, Luca Fabian Schlaug, Daniel Westerfeld, Stefan Geißelsöder, Alexander Buchele   +5 more
doaj   +1 more source