Search Results - "robust convolutional autoencoder"

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

Authors: Yan, Shen Shao, Haidong Xiao, Yiming et al.

Source: Robotics and Computer-Integrated Manufacturing. 79

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

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Access URL: 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

Authors: Farchan Hakim Raswa Franki Halberd Agus Harjoko et al.

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

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

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

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

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

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

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

Authors: Shi, Zhangyue Mandal, Soumya Harimkar, Sandip et al.

Source: 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.

Subject Terms: *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.

Authors: Sun, Shimin Liu, Xiangyun Han, Li et al.

Source: 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.

Authors: Lee, Sehun Kim, Taehoon Kim, Sookyun et al.

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

Subject Terms: 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.

Authors: Jakovlev, Sergej Eglynas, Tomas Pocevicius, Edvinas et al.

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

Subject Terms: 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.

Authors: Arciniegas, Stalin Rivero, Dulce Piñan, Jefferson et al.

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

Subject Terms: 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.

Authors: Tai-Ching Hung Kuo-Hao Chang Jing-Wei Chen et al.

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

Subject Terms: 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.

Authors: Illaga, Lynne Ivy L. Rivero, Donna Marie C. Boholst, Mc Clyde Ann P. et al.

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

Subject Terms: 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.

Authors: Liu, Chuanshui Yang, Jing Zhan, Xuan et al.

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

Subject Terms: 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.

Authors: McIntosh, Timothy R. Susnjak, Teo Liu, Tong et al.

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

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

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

Authors: Yuan, Wei Chen, Julong Yu, Xingji

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

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

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

Authors: Yingying Ji Jun Gao Xing Shao et al.

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

Subject Terms: 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.

Authors: Kamat, Pooja

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

Subject Terms: 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.

Authors: Shin, Jaehee Ahn, Hyun Mun, Gwang-Hyeon et al.

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

Subject Terms: 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.

Authors: Yan, Hehua Tan, Jinbiao Luo, Yixiong et al.

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

Subject Terms: FAULT diagnosis, DEEP learning, DIAGNOSIS, ANNOTATIONS

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

Authors: Zhao, Zhilei Xiao, Zhao Tao, Jie

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

Subject Terms: 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.

Authors: Zhang, Kai Ni, Wangze Zhu, Yudi et al.

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

Subject Terms: 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.

Authors: Yu, Xiao Wang, Songcheng Xu, Hongyang et al.

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

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