Výsledky vyhledávání - "Robust convolutional autoencoder"

Hybrid robust convolutional autoencoder for unsupervised anomaly detection of machine tools under noises

Autoři: Yan, Shen Shao, Haidong Xiao, Yiming a další

Zdroj: Robotics and Computer-Integrated Manufacturing. 79

Témata: Machine tools, Deep learning, Unsupervised anomaly detection, Hybrid robust convolutional autoencoder, Noises, Drift och underhållsteknik, Operation and Maintenance

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-92934

Multi-loss Function in Robust Convolutional Autoencoder for Reconstruction Low-quality Fingerprint Image

Autoři: Farchan Hakim Raswa Franki Halberd Agus Harjoko a další

Zdroj: 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC). :428-431

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

Unsupervised fault detection using frequency-wise angular filtering in contaminated vibration signals.

Autoři: Byun, Yunseon Maeng, Daeju Baek, Jun-Geol

Zdroj: International Journal of Production Research; May2025, Vol. 63 Issue 10, p3733-3759, 27p

Témata: STATISTICAL process control, ARTIFICIAL intelligence, MANUFACTURING processes, MAINTENANCE costs, ENGINEERS

Hybrid data-driven feature extraction-enabled surface modeling for metal additive manufacturing.

Autoři: Shi, Zhangyue Mandal, Soumya Harimkar, Sandip a další

Zdroj: International Journal of Advanced Manufacturing Technology. Aug2022, Vol. 121 Issue 7/8, p4643-4662. 20p. 2 Color Photographs, 1 Black and White Photograph, 5 Diagrams, 9 Charts, 8 Graphs.

Témata: *SUPERVISED learning, *METALLIC surfaces, *ELECTRON beam furnaces, *MACHINE learning, *SURFACE morphology

SAE-GAN: integrating stacked attention autoencoder and generative adversarial networks for multivariate time series anomaly detection.

Autoři: Sun, Shimin Liu, Xiangyun Han, Li a další

Zdroj: Applied Intelligence; Nov2025, Vol. 55 Issue 16, p1-18, 18p

Unsupervised Structural Defect Classification via Real-Time and Noise-Robust Method in Smartphone Small Modules.

Autoři: Lee, Sehun Kim, Taehoon Kim, Sookyun a další

Zdroj: Electronics (2079-9292); Sep2025, Vol. 14 Issue 17, p3455, 21p

Témata: REAL-time computing, AUTOENCODERS, IMAGE stabilization, ROBUST statistics, FAULT diagnosis, INSPECTION & review, PATTERN perception

Comparative Analysis of Recurrent vs. Temporal Convolutional Autoencoders for Detecting Container Impacts During Quay Crane Handling.

Autoři: Jakovlev, Sergej Eglynas, Tomas Pocevicius, Edvinas a další

Zdroj: Journal of Marine Science & Engineering; Jul2025, Vol. 13 Issue 7, p1231, 23p

Témata: AUTOENCODERS, EDGE computing, CONVOLUTIONAL neural networks, CRANES (Machinery), OUTLIER detection, SHIPPING containers, REAL-time computing

IoT device for detecting abnormal vibrations in motors using TinyML.

Autoři: Arciniegas, Stalin Rivero, Dulce Piñan, Jefferson a další

Zdroj: Discover Internet of Things; 4/16/2025, Vol. 5 Issue 1, p1-18, 18p

Témata: DEEP learning, FAULT diagnosis, CONDITION-based maintenance, EDGE computing, INTERNET of things, AUTOMATIC tracking, VIBRATION tests

Unsupervised Learning-Based PHM for Predictive Maintenance and Optimal Configuration of Air Compressors in the Semiconductor Industry.

Autoři: Tai-Ching Hung Kuo-Hao Chang Jing-Wei Chen a další

Zdroj: Proceedings of the International Conference on Industrial Engineering & Operations Management; 2/18/2025, p1-12, 12p

Témata: OPTIMIZATION algorithms, DATA analytics, MACHINE performance, AIR compressors, ARTIFICIAL intelligence, SYSTEM downtime

The Moderating Role of Generation in the Intention to Adopt Business Intelligence Tools Among Filipino Decision-Makers in SMEs.

Autoři: Illaga, Lynne Ivy L. Rivero, Donna Marie C. Boholst, Mc Clyde Ann P. a další

Zdroj: IMEOM Conferences - Dhaka, Bangladesh; 2025, p791-803, 513p

Témata: BUSINESS intelligence, SMALL business, DECISION making in business, PLANNED behavior theory, CLASSIFICATION algorithms

Application of Bispectral Technology and Deep Learning for Feature Extraction and Classification.

Autoři: Liu, Chuanshui Yang, Jing Zhan, Xuan a další

Zdroj: Shock & Vibration; 3/11/2025, Vol. 2025, p1-13, 13p

Témata: IMAGE reconstruction, GRAYSCALE model, HIGH resolution imaging, IMAGE recognition (Computer vision), CLASSIFICATION, FEATURE extraction, DEEP learning

From Google Gemini to OpenAI Q* (Q-Star): A Survey on Reshaping the Generative Artificial Intelligence (AI) Research Landscape.

Autoři: McIntosh, Timothy R. Susnjak, Teo Liu, Tong a další

Zdroj: Technologies (2227-7080); Feb2025, Vol. 13 Issue 2, p51, 56p

Témata: GENERATIVE artificial intelligence, ARTIFICIAL intelligence, GEMINI (Chatbot), SOCIAL norms, SCHOLARLY communication

Research on Fault Diagnosis of Ship Propulsion System Based on Improved Residual Network.

Autoři: Yuan, Wei Chen, Julong Yu, Xingji

Zdroj: Journal of Marine Science & Engineering; Jan2025, Vol. 13 Issue 1, p70, 30p

Témata: PERMANENT magnet motors, SHIP propulsion, FAULT diagnosis, PROPULSION systems, FEATURE extraction

Research on multi-path quadratic convolutional neural network-based bearing fault diagnosis.

Autoři: Yingying Ji Jun Gao Xing Shao a další

Zdroj: Insight: Non-Destructive Testing & Condition Monitoring; Dec2024, Vol. 66 Issue 12, p758-766, 9p

Témata: CONVOLUTIONAL neural networks, FAULT diagnosis, DYNAMIC balance (Mechanics), SIGNAL-to-noise ratio, DIAGNOSIS

Fault Precognition System for Remaining Useful Life Estimation in Bearing Systems Using Autoencoder-LSTM and Clustering Techniques.

Autoři: Kamat, Pooja

Zdroj: Journal Européen des Systèmes Automatisés; Dec2024, Vol. 57 Issue 6, p1721-1728, 8p

Témata: REMAINING useful life, K-means clustering, LONG short-term memory, SYSTEMS design, ACCELEROMETERS

Deep Neural Network-Based Temperature Mapping Technique for Heat Sink on Electronic Devices Using Local Thermocouple Sensors.

Autoři: Shin, Jaehee Ahn, Hyun Mun, Gwang-Hyeon a další

Zdroj: Applied Artificial Intelligence; 2024, Vol. 38 Issue 1, p1-20, 20p

Témata: ARTIFICIAL neural networks, STRAINS & stresses (Mechanics), TEMPERATURE distribution, HEAT sinks, ELECTRONIC equipment

Multi-Condition Intelligent Fault Diagnosis Based on Tree-Structured Labels and Hierarchical Multi-Granularity Diagnostic Network.

Autoři: Yan, Hehua Tan, Jinbiao Luo, Yixiong a další

Zdroj: Machines; Dec2024, Vol. 12 Issue 12, p891, 17p

Témata: FAULT diagnosis, DEEP learning, DIAGNOSIS, ANNOTATIONS

MSDG: Multi-Scale Dynamic Graph Neural Network for Industrial Time Series Anomaly Detection.

Autoři: Zhao, Zhilei Xiao, Zhao Tao, Jie

Zdroj: Sensors (14248220); Nov2024, Vol. 24 Issue 22, p7218, 18p

Témata: GRAPH neural networks, ANOMALY detection (Computer security), TIME series analysis, INDUSTRIAL equipment, COMPUTER networking equipment

Anomaly Detection of Sensor Arrays of Underwater Methane Remote Sensing by Explainable Sparse Spatio-Temporal Transformer.

Autoři: Zhang, Kai Ni, Wangze Zhu, Yudi a další

Zdroj: Remote Sensing; Jul2024, Vol. 16 Issue 13, p2415, 19p

Témata: SENSOR arrays, REMOTE sensing, TRANSFORMER models, GAS leakage, FEATURE extraction, DEEP learning, METHANE as fuel, METHANE

Intelligent fault diagnosis of rotating machinery under variable working conditions based on deep transfer learning with fusion of local and global time–frequency features.

Autoři: Yu, Xiao Wang, Songcheng Xu, Hongyang a další

Zdroj: Structural Health Monitoring; Jul2024, Vol. 23 Issue 4, p2238-2254, 17p

Témata: FAULT diagnosis, TRANSFORMER models, FEATURE extraction, WAVELET transforms, GRAYSCALE model, MONITORING of machinery, ROTATING machinery