Výsledky vyhledávání - "Hybrid classification autoencoder"

A hybrid classification autoencoder for semi-supervised fault diagnosis in rotating machinery

Autoři: Yan Zhang Xinya Wu Zhike Peng a další

Zdroj: Mechanical Systems and Signal Processing. 149:107327

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0201 civil engineering

Přístupová URL adresa: https://www.sciencedirect.com/science/article/pii/S0888327020307135
http://ui.adsabs.harvard.edu/abs/2021MSSP..14907327W/abstract

Enhancing field applicability of unsupervised vibration-based damage assessment via time–frequency pattern differentiation.

Autoři: Park, Soyeon Kim, Sunjoong

Zdroj: Journal of Civil Structural Health Monitoring; Dec2025, Vol. 15 Issue 8, p3643-3673, 31p

Bearing Semi-Supervised Anomaly Detection Using Only Normal Data.

Autoři: Băltoiu, Andra Dumitrescu, Bogdan

Zdroj: Applied Sciences (2076-3417); Oct2025, Vol. 15 Issue 20, p10912, 22p

Témata: MACHINE learning, OUTLIER detection, SUPERVISED learning, METADATA, FEATURE extraction, AUTOMOBILE bearings

Korporace: CASE Western Reserve University

An unsupervised transfer network with adaptive input and dynamic channel pruning for train axle bearing fault diagnosis.

Autoři: Liu, Lei Zhang, Weihua Gu, Fengshou a další

Zdroj: Structural Health Monitoring; Sep2025, Vol. 24 Issue 5, p2837-2856, 20p

Témata: FAULT diagnosis, FEATURE extraction, DIAGNOSIS, TRANSFER of training, MACHINE learning

Stacked autoencoder with weighted loss function for intrusion detection in IoT application.

Autoři: Gangula, Rekha Vutukuru, Murali Mohan Kumar, M. Ranjeeth

Zdroj: Multimedia Tools & Applications; Jun2025, Vol. 84 Issue 21, p23501-23529, 29p

Témata: COMPUTER network traffic, INFORMATION storage & retrieval systems, ARTIFICIAL intelligence, AUTOENCODERS, DATABASES, INTRUSION detection systems (Computer security)

Semi-Supervised Learned Autoencoder for Classification of Events in Distributed Fibre Acoustic Sensors.

Autoři: Kozmin, Artem Kalashev, Oleg Chernenko, Alexey a další

Zdroj: Sensors (14248220); Jun2025, Vol. 25 Issue 12, p3730, 22p

Témata: AUTOENCODERS, SIGNAL processing, DISTRIBUTED sensors, MACHINE learning, INFRASTRUCTURE (Economics)

有限标记样本下基于 GSSL-GraphSage 的半监督故障诊断方法. (Chinese)

Alternate Title: Semi-supervised fault diagnosis using GSSL-GraphSage under limited labeled samples. (English)

Autoři: 曹 洁 王庭义 王进花

Zdroj: Control Theory & Applications / Kongzhi Lilun Yu Yinyong; May2025, Vol. 42 Issue 5, p892-902, 11p

Témata: GRAPH neural networks, K-nearest neighbor classification, VIBRATIONAL spectra, GEARBOXES, ALGORITHMS

A new automated interval structure belief rule base-based fault diagnosis method for complex systems: A New Automated Interval: H. Wan et al.

Autoři: Wan, Haifeng Zhang, Zongjun He, Wei a další

Zdroj: Nonlinear Dynamics; Apr2025, Vol. 113 Issue 8, p8391-8422, 32p

An adaptive hierarchical hybrid kernel ELM optimized by aquila optimizer algorithm for bearing fault diagnosis.

Autoři: Yan, Hao Shang, Liangliang Chen, Wan a další

Zdroj: Scientific Reports; 4/8/2025, Vol. 15 Issue 1, p1-26, 26p

Témata: EXTREME learning machines, MACHINE learning, ARTIFICIAL intelligence, FAULT diagnosis, AUTOENCODERS

A Systematic Review on Advancement of Image Segmentation Techniques for Fault Detection Opportunities and Challenges.

Autoři: Rahman, Md Motiur Rahman, Saeka Bhatt, Smriti a další

Zdroj: Electronics (2079-9292); Mar2025, Vol. 14 Issue 5, p974, 23p

Témata: IMAGE segmentation, ARTIFICIAL intelligence, MACHINE learning, PRODUCT quality, ACADEMIA

Review on deep learning classifiers for faults diagnosis of rotating industrial machinery.

Autoři: Shaalan, Ameer Ali Mefteh, Wafa Frihida, Ali Mohsen

Zdroj: Service Oriented Computing & Applications; Dec2024, Vol. 18 Issue 4, p361-379, 19p

Vibration spectrogram analysis for bearing fault diagnosis based on grad-cam for feature selection and statistical approach.

Autoři: Kim, Kihyun Kim, Yong Soo

Zdroj: Journal of Mechanical Science & Technology; Nov2024, Vol. 38 Issue 11, p5885-5898, 14p

Témata: ARTIFICIAL intelligence, FEATURE selection, FEATURE extraction, OUTLIER detection, FOURIER analysis

Intelligent Fault Diagnosis of Planetary Gearbox Across Conditions Based on Subdomain Distribution Adversarial Adaptation.

Autoři: Han, Songjun Feng, Zhipeng Zhang, Ying a další

Zdroj: Sensors (14248220); Nov2024, Vol. 24 Issue 21, p7017, 19p

Témata: ELECTROMECHANICAL devices, KNOWLEDGE transfer, GEARBOXES, DIAGNOSIS, SIGNALS & signaling, FAULT diagnosis

Unsupervised anomaly detection of permanent-magnet offshore wind generators through electrical and electromagnetic measurements.

Autoři: Dibaj, Ali Valavi, Mostafa Nejad, Amir R.

Zdroj: Wind Energy Science; 2024, Vol. 9 Issue 11, p2063-2086, 24p

Témata: SYNCHRONOUS generators, ELECTROMAGNETIC measurements, SUPERVISORY control systems, WIND turbines, MAGNETIC flux

Fault Diagnosis Method of Rolling Bearing Based on CNN and BLS. (English)

Zdroj: Journal of Vibration, Measurement & Diagnosis; Oct2024, Vol. 44 Issue 5, p1017-1022, 6p

Gearbox fault diagnosis method based on improved semi-supervised MTDL and GAF.

Autoři: Zhao, Peng Pang, Xinyu Li, Feng a další

Zdroj: Measurement & Control (0020-2940); Aug2024, Vol. 57 Issue 8, p1181-1193, 13p

Témata: FAULT diagnosis, DEEP learning, TIME series analysis, PLANETARY gearing, PROBLEM solving

Hydroelectric Unit Vibration Signal Feature Extraction Based on IMF Energy Moment and SDAE.

Autoři: Liu, Dong Kong, Lijun Yao, Bing a další

Zdroj: Water (20734441); Jul2024, Vol. 16 Issue 14, p1956, 15p

Témata: FEATURE extraction, FOURIER analysis, MOMENTS method (Statistics), FOURIER transforms, COUPLINGS (Gearing), HILBERT-Huang transform

Semi-Supervised Autoencoder for Chemical Gas Classification with FTIR Spectrum.

Autoři: Jang, Hee-Deok Kwon, Seokjoon Nam, Hyunwoo a další

Zdroj: Sensors (14248220); Jun2024, Vol. 24 Issue 11, p3601, 12p

Témata: ARTIFICIAL neural networks, CHEMICAL warfare agents, CLASSIFICATION, FEATURE extraction, MATERIALS analysis

Unsupervised deep learning framework for ultrasonic-based distributed damage detection in concrete: integration of a deep auto-encoder and Isolation Forest for anomaly detection.

Autoři: Toufigh, Vahab Ranjbar, Iman

Zdroj: Structural Health Monitoring; May2024, Vol. 23 Issue 3, p1313-1333, 21p

Témata: CONCRETE, DEEP learning, DECISION trees

Small Sample Time Series Classification Based on Data Augmentation and Semi-supervised Learning.

Autoři: Jing-Jing Liu Jie-Peng Yao Zhuo Wang a další

Zdroj: Information Technology & Control; 2024, Vol. 53 Issue 2, p470-491, 22p

Témata: DATA augmentation, REINFORCEMENT learning, TIME series analysis, SUPERVISED learning, GENERATIVE adversarial networks, CLASSIFICATION, HEBBIAN memory