Cargando…

Anomaly Detection of Power Plant Equipment Using Long Short-Term Memory Based Autoencoder Neural Network

Anomaly detection is of great significance in condition-based maintenance of power plant equipment. The conventional fixed threshold detection method is not able to perform early detection of equipment abnormalities. In this study, a general anomaly detection framework based on a long short-term mem...

Descripción completa

Detalles Bibliográficos
Autores principales:	Hu, Di, Zhang, Chen, Yang, Tao, Chen, Gang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2020
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7663224/ https://www.ncbi.nlm.nih.gov/pubmed/33138122 http://dx.doi.org/10.3390/s20216164

Ejemplares similares

Fault Detection and Diagnosis Using Combined Autoencoder and Long Short-Term Memory Network
por: Park, Pangun, et al.
Publicado: (2019)

Detecting Anomalies of Satellite Power Subsystem via Stage-Training Denoising Autoencoders
por: Jin, Weihua, et al.
Publicado: (2019)

MAMA Net: Multi-Scale Attention Memory Autoencoder Network for Anomaly Detection
Publicado: (2020)

Reconstructing aerosol optical depth using spatiotemporal Long Short-Term Memory convolutional autoencoder
por: Liang, Lu, et al.
Publicado: (2023)

Deep Autoencoder Neural Networks for Short-Term Traffic Congestion Prediction of Transportation Networks
por: Zhang, Sen, et al.
Publicado: (2019)

Autoencoders for anomaly detection at LHCb
por: Radziunas Salinas, Yago
Publicado: (2022)

Implementation of a Sequence-to-Sequence Stacked Sparse Long Short-Term Memory Autoencoder for Anomaly Detection on Multivariate Timeseries Data of Industrial Blower Ball Bearing Units
por: Karapalidou, Elisavet, et al.
Publicado: (2023)

Anomaly Detection for Sensor Signals Utilizing Deep Learning Autoencoder-Based Neural Networks
por: Esmaeili, Fatemeh, et al.
Publicado: (2023)

A deep learning framework for financial time series using stacked autoencoders and long-short term memory
por: Bao, Wei, et al.
Publicado: (2017)

Anomaly Detection With Conditional Variational Autoencoders
por: Pol, Adrian Alan, et al.
Publicado: (2020)

Anomaly detection in images with shared autoencoders
por: Jia, Haoyang, et al.
Publicado: (2023)

Enhancing anomaly detection in distributed power systems using autoencoder-based federated learning
por: Kea, Kimleang, et al.
Publicado: (2023)

Clinical Decision Support Systems to Predict Drug–Drug Interaction Using Multilabel Long Short-Term Memory with an Autoencoder
por: Alrowais, Fadwa, et al.
Publicado: (2023)

Empirical mode decomposition based long short-term memory neural network forecasting model for the short-term metro passenger flow
por: Chen, Quanchao, et al.
Publicado: (2019)

A Correlation-Based Anomaly Detection Model for Wireless Body Area Networks Using Convolutional Long Short-Term Memory Neural Network
por: Albattah, Albatul, et al.
Publicado: (2022)

Anomaly Detection for Agricultural Vehicles Using Autoencoders
por: Mujkic, Esma, et al.
Publicado: (2022)

Anomaly detection in radiotherapy plans using deep autoencoder networks
por: Huang, Peng, et al.
Publicado: (2023)

Correction: Empirical mode decomposition based long short-term memory neural network forecasting model for the short-term metro passenger flow
por: Chen, Quanchao, et al.
Publicado: (2020)

A Modeling Method for Thermal Error Prediction of CNC Machine Equipment Based on Sparrow Search Algorithm and Long Short-Term Memory Neural Network
por: Gao, Ying, et al.
Publicado: (2023)

Long-Short Term Memory Network-Based Monitoring Data Anomaly Detection of a Long-Span Suspension Bridge
por: Zhang, Jianliang, et al.
Publicado: (2022)

Anomaly Detection of Water Level Using Deep Autoencoder
por: Nicholaus, Isack Thomas, et al.
Publicado: (2021)

IRC-Safe Graph Autoencoder for Unsupervised Anomaly Detection
por: Atkinson, Oliver, et al.
Publicado: (2022)

Long-Short-Term-Memory-Based Deep Stacked Sequence-to-Sequence Autoencoder for Health Prediction of Industrial Workers in Closed Environments Based on Wearable Devices
por: Xu, Weidong, et al.
Publicado: (2023)

Prediction of gait trajectories based on the Long Short Term Memory neural networks
por: Zaroug, Abdelrahman, et al.
Publicado: (2021)

Splice Junction Identification using Long Short-Term Memory Neural Networks
por: Regan, Kevin, et al.
Publicado: (2021)

Hospital Intelligent Power Operation and Maintenance Information Evaluation with the Long and Short Memory Neural Network
por: Mi, Dezhi, et al.
Publicado: (2022)

Mathematical processing of trading strategy based on long short-term memory neural network model
por: Wang, Han-Yang, et al.
Publicado: (2022)

Language Identification in Short Utterances Using Long Short-Term Memory (LSTM) Recurrent Neural Networks
por: Zazo, Ruben, et al.
Publicado: (2016)

Attention Autoencoder for Generative Latent Representational Learning in Anomaly Detection
por: Oluwasanmi, Ariyo, et al.
Publicado: (2021)

Anomaly Detection Using Autoencoder Reconstruction upon Industrial Motors
por: Givnan, Sean, et al.
Publicado: (2022)

Video Anomaly Detection Based on Convolutional Recurrent AutoEncoder
por: Wang, Bokun, et al.
Publicado: (2022)

Industrial Anomaly Detection with Skip Autoencoder and Deep Feature Extractor
por: Tang, Ta-Wei, et al.
Publicado: (2022)

Combining autoencoder with clustering analysis for anomaly detection in radiotherapy plans
por: Huang, Peng, et al.
Publicado: (2023)

Continuous Timescale Long-Short Term Memory Neural Network for Human Intent Understanding
por: Yu, Zhibin, et al.
Publicado: (2017)

Suspended sediment load prediction using long short-term memory neural network
por: AlDahoul, Nouar, et al.
Publicado: (2021)

Long short-term memory (LSTM) recurrent neural network for muscle activity detection
por: Ghislieri, Marco, et al.
Publicado: (2021)

Streamflow prediction using an integrated methodology based on convolutional neural network and long short-term memory networks
por: Ghimire, Sujan, et al.
Publicado: (2021)

Design of a Soft Sensor Based on Long Short-Term Memory Artificial Neural Network (LSTM) for Wastewater Treatment Plants
por: Recio-Colmenares, Roxana, et al.
Publicado: (2023)

Evolving Long Short-Term Memory Networks
por: Lobo Neto, Vicente Coelho, et al.
Publicado: (2020)

Recognition Method of Massage Techniques Based on Attention Mechanism and Convolutional Long Short-Term Memory Neural Network
por: Zhu, Shengding, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_7kl8jau3msdqvsv17a40h2b3gu