Výsledky vyhledávání - stacked denoising autoencoder(sae)~

Roller bearing fault diagnosis using stacked denoising autoencoder in deep learning and Gath–Geva clustering algorithm without principal component analysis and data label

Autoři: Fan Xu Wai tai Peter Tse Yiu Lun Tse

Zdroj: Applied Soft Computing. 73:898-913

Témata: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://www.sciencedirect.com/science/article/pii/S1568494618305544
https://dblp.uni-trier.de/db/journals/asc/asc73.html#XuTT18
https://doi.org/10.1016/j.asoc.2018.09.037

Data-Driven Bearing Fault Diagnosis of Microgrid Network Power Device Based on a Stacked Denoising Autoencoder in Deep Learning and Clustering by Fast Search without Data Labels

Autoři: Xiaodi Zhang Fan Xu Xin Shu a další

Zdroj: Complexity, Vol 2020 (2020)

Témata: Electronic computers. Computer science, 0202 electrical engineering, electronic engineering, information engineering, QA75.5-76.95, 02 engineering and technology

Popis souboru: text/xhtml

Přístupová URL adresa: https://downloads.hindawi.com/journals/complexity/2020/5013871.pdf
https://doaj.org/article/1c1a5d35d5484f8ea5ad2f4a76ec2885
https://dblp.uni-trier.de/db/journals/complexity/complexity2020.html#XuSLZ20
https://www.hindawi.com/journals/complexity/2020/5013871/
https://scholars.cityu.edu.hk/files/71111528/5013871.pdf
https://downloads.hindawi.com/journals/complexity/2020/5013871.pdf
http://downloads.hindawi.com/journals/complexity/2020/5013871.pdf
https://scholars.cityu.edu.hk/en/publications/datadriven-bearing-fault-diagnosis-of-microgrid-network-power-device-based-on-a-stacked-denoising-autoencoder-in-deep-learning-and-clustering-by-fast-search-without-data-labels(a0409b4d-e1c9-42ef-8fc0-fce4f0118bf5).html

Automatic fault diagnosis of rolling bearings under multiple working conditions based on unsupervised stack denoising autoencoder.

Autoři: Wang, Lei Rao, Hang Dong, Zhengcheng a další

Zdroj: Structural Health Monitoring; Sep2024, Vol. 23 Issue 5, p3084-3104, 21p

Témata: AUTOENCODERS, DEEP learning, ROLLER bearings, DIAGNOSIS, ALGORITHMS, FEATURE extraction

A sparse stacked denoising autoencoder with optimized transfer learning applied to the fault diagnosis of rolling bearings

Autoři: Ping Liu Peng Fan Hui Wang a další

Zdroj: Measurement. 146:305-314

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://ui.adsabs.harvard.edu/abs/2019Meas..146..305S/abstract
https://www.sciencedirect.com/science/article/pii/S0263224119305950

Fault Diagnosis of Rolling Bearing Based on Multiscale Intrinsic Mode Function Permutation Entropy and a Stacked Sparse Denoising Autoencoder

Autoři: Juying Dai Jian Tang Faming Shao a další

Zdroj: Applied Sciences, Vol 9, Iss 13, p 2743 (2019)

Témata: IMFs, multiscale permutation entropy, stacked sparse denoising autoencoder, fault diagnosis, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2076-3417/9/13/2743; https://doaj.org/toc/2076-3417

Přístupová URL adresa: https://doaj.org/article/513f8bf811eb491dab82fad9ce1ea4c2

Face recognition algorithm based on stack denoising and self-encoding LBP

Autoři: Lu Yanjing Khan Mudassir Ansari Mohd Dilshad

Zdroj: Journal of Intelligent Systems, Vol 31, Iss 1, Pp 501-510 (2022)

Témata: face recognition, stacked autoencoder, lbp operator, denoising, Science, Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2191-026X

Přístupová URL adresa: https://doaj.org/article/2c5e5900c2c746c8a2004dad28648e1b

Automatic Diagnosis of Microgrid Networks’ Power Device Faults Based on Stacked Denoising Autoencoders and Adaptive Affinity Propagation Clustering

Autoři: Fan Xu Xin Shu Xiaodi Zhang a další

Zdroj: Complexity, Vol 2020 (2020)

Témata: Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: https://doaj.org/toc/1076-2787; https://doaj.org/toc/1099-0526

Přístupová URL adresa: https://doaj.org/article/efe1f53c41244bce9d84b3a06a7c0996

Roller bearing fault diagnosis using stacked denoising autoencoder in deep learning and Gath–Geva clustering algorithm without principal component analysis and data label.

Autoři: Xu, Fan Tse, Wai tai Peter Tse, Yiu Lun

Zdroj: Applied Soft Computing. Dec2018, Vol. 73, p898-913. 16p.

Témata: Principal components analysis, Deep learning, Clustering of particles, Debugging, Entropy (Information theory)

Data-Driven Bearing Fault Diagnosis of Microgrid Network Power Device Based on a Stacked Denoising Autoencoder in Deep Learning and Clustering by Fast Search without Data Labels.

Autoři: Xu, Fan Shu, Xin Li, Xin a další

Zdroj: Complexity; 11/2/2020, p1-29, 29p

Témata: FAULT diagnosis, MICROGRIDS, DEEP learning, BEARINGS (Machinery), PRINCIPAL components analysis, NONLINEAR functions

A fault diagnosis framework for rotating machinery of marine equipment: A semi-supervised learning framework based on contractive stacked autoencoder.

Autoři: Pan, Penghao Zhao, Dong Li, Yueyang

Zdroj: Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment (Sage Publications, Ltd.); Aug2023, Vol. 237 Issue 3, p625-636, 12p

A fault diagnosis framework for rotating machinery of marine equipment: A semi-supervised learning framework based on contractive stacked autoencoder

Autoři: Penghao Pan Dong Zhao Yueyang Li

Zdroj: Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment. 237:625-636

Témata: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Flight delay prediction based on deep learning and Levenberg-Marquart algorithm

Autoři: Maryam Farshchian Yazdi Seyed Reza Kamel Seyyed Javad Mahdavi Chabok a další

Zdroj: Journal of Big Data, Vol 7, Iss 1, Pp 1-28 (2020)

Témata: Deep learning, Stacked denoising autoencoders, Flight delay prediction, Big data, Computer engineering. Computer hardware, TK7885-7895, Information technology, T58.5-58.64, Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: http://link.springer.com/article/10.1186/s40537-020-00380-z; https://doaj.org/toc/2196-1115

Přístupová URL adresa: https://doaj.org/article/b39bc4e95b1f4e4fa5a3efb13c97e0e5

Intelligent Diagnosis of Subway Traction Motor Bearing Fault Based on Improved Stacked Denoising Autoencoder.

Autoři: Xu, Yanwei Li, Chen Xie, Tancheng

Zdroj: Shock & Vibration; 1/12/2021, p1-9, 9p

Témata: TRACTION motors, FAULT diagnosis, SUBWAYS, SIGNAL processing, FEATURE extraction, DEEP learning, BRIDGE bearings

Health condition identification for rolling bearing using a multi-domain indicator-based optimized stacked denoising autoencoder.

Autoři: Yan, Xiaoan Liu, Ying Jia, Minping

Zdroj: Structural Health Monitoring; Sep2020, Vol. 19 Issue 5, p1602-1626, 25p

Témata: ROLLER bearings, DEEP learning, AUTOMATIC identification, LINEAR operators, MATHEMATICAL optimization, BIOLOGICALLY inspired computing, ALGORITHMS

Remote Sensing Image Classification Based on Stacked Denoising Autoencoder.

Autoři: Liang, Peng Shi, Wenzhong Zhang, Xiaokang

Zdroj: Remote Sensing; Jan2018, Vol. 10 Issue 1, p16, 12p

Témata: SIGNAL denoising, REMOTE sensing, ERROR probability, BACK propagation, LAND cover

A Robust Acoustic Feature Extraction Approach Based on Stacked Denoising Autoencoder.

Autoři: Liu, J.H. Zheng, W.Q. Zou, Y.X.

Zdroj: 2015 IEEE International Conference on Multimedia Big Data; 2015, p124-127, 4p

基于火焰成像和堆栈降噪 自编码的燃烧工况识别. (Chinese)

Alternate Title: Combustion condition identification through flame imaging and stacked denoising autoencoder. (English)

Autoři: 韩哲哲 段德智 倪浩伟 a další

Zdroj: Journal of Southeast University / Dongnan Daxue Xuebao; May2020, Vol. 50 Issue 3, p537-544, 8p

A Deep Learning Model to Predict the ncRNA-Protein Interactions Based on Sequences Information Only.

Autoři: Sewailem, Maha FM Arif, Muhammad Alam, Tanvir

Zdroj: Bioinformatics & Biology Insights. 11/10/2025, Vol. 19, p1-12. 12p.

Intelligent fault prediction of rolling bearing based on gate recurrent unit and hybrid autoencoder.

Autoři: Che, Changchang Wang, Huawei Fu, Qiang a další

Zdroj: Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science (Sage Publications, Ltd.); Mar2021, Vol. 235 Issue 6, p1106-1114, 9p

Fault Diagnosis of Permanent Magnet Synchronous Motor Based on Stacked Denoising Autoencoder.

Autoři: Xu, Xiaowei Feng, Jingyi Zhan, Liu a další

Zdroj: Entropy; Mar2021, Vol. 23 Issue 3, p339, 1p

Témata: PERMANENT magnet motors, IMAGE denoising, FAULT diagnosis, SYNCHRONOUS electric motors, SUPPORT vector machines, FEATURE extraction