Search Results - "Deep regularized variational autoencoder"

Deep regularized variational autoencoder for intelligent fault diagnosis of rotor–bearing system within entire life-cycle process

Authors: Xiaoan Yan Daoming She Yadong Xu et al.

Source: Knowledge-Based Systems. 226:107142

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

Access URL: https://www.sciencedirect.com/science/article/pii/S0950705121004056
https://dblp.uni-trier.de/db/journals/kbs/kbs226.html#YanSXJ21

An Intelligent Bearing Fault Transfer Diagnosis Method Based on Improved Domain Adaption.

Authors: Che, Jinli Fang, Liqing Ma, Qiao et al.

Source: Entropy; Nov2025, Vol. 27 Issue 11, p1178, 27p

Subject Terms: FAULT diagnosis, FEATURE extraction, CONVOLUTIONAL neural networks

Self-Supervised Condition Monitoring for Wind Turbine Gearboxes Based on Adaptive Feature Selection and Contrastive Residual Graph Neural Network.

Authors: Yang, Wanqian Zhang, Mingming Yu, Jincheng

Source: Energies (19961073); Oct2025, Vol. 18 Issue 20, p5474, 31p

Subject Terms: WIND turbines, GEARBOXES, FEATURE selection, GRAPH neural networks, REAL-time computing, OUTLIER detection, MACHINE learning

Bearing prognostics and health management based on hybrid physical mechanism and data models: a systematic review.

Authors: Wang, Shuo Yan, Liang Du, Shichang et al.

Source: Measurement Science & Technology; May2025, Vol. 36 Issue 5, p1-34, 34p

Subject Terms: REMAINING useful life, FAULT diagnosis, RESEARCH personnel, DATA quality, RESEARCH methodology

An inception transformer-based weighted prototype network for few-shot defect recognition of wheelset bearing.

Authors: Deng, Feiyue Huang, Zeheng Hao, Rujiang et al.

Source: Journal of Computational Design & Engineering; Mar2025, Vol. 12 Issue 3, p36-50, 15p

Adaptive spectrum amplitude modulation method for rolling bearing fault frequency determination.

Authors: Tu, Zhaoyu Luo, Zeyu Li, Menghui et al.

Source: Measurement Science & Technology; Nov2024, Vol. 35 Issue 11, p1-16, 16p

Subject Terms: SIGNAL reconstruction, ROLLER bearings, AMPLITUDE modulation, ADAPTIVE filters

A fault diagnosis method based on an improved diffusion model under limited sample conditions.

Authors: Wang, Qiushi Sun, Zhicheng Zhu, Yueming et al.

Source: PLoS ONE; 9/3/2024, Vol. 19 Issue 9, p1-19, 19p

Subject Terms: CONVOLUTIONAL neural networks, SYSTEM failures, ROLLER bearings, MECHANICAL efficiency, MAINTENANCE costs, FAULT diagnosis

Application of AdaBoost for stator fault diagnosis in three-phase permanent magnet synchronous motors based on vibration–current data fusion analysis.

Authors: Al-Haddad, Luttfi A. Shijer, Sameera Sadey Jaber, Alaa Abdulhady et al.

Source: Electrical Engineering; Aug2024, Vol. 106 Issue 4, p4527-4542, 16p

Subject Terms: MACHINE learning, PERMANENT magnet motors, MULTISENSOR data fusion, SIGNAL processing, DATA analytics

A dual-attention feature fusion network for imbalanced fault diagnosis with two-stream hybrid generated data.

Authors: Wang, Chenze Wang, Han Liu, Min

Source: Journal of Intelligent Manufacturing; Apr2024, Vol. 35 Issue 4, p1707-1719, 13p

Subject Terms: FAULT diagnosis, DEEP learning, CONVOLUTIONAL neural networks, FEATURE extraction

A self-supervised learning model based on variational autoencoder for limited-sample mammogram classification.

Authors: Karagoz, Meryem Altin Nalbantoglu, O. Ufuk

Source: Applied Intelligence; Feb2024, Vol. 54 Issue 4, p3448-3463, 16p

Subject Terms: DEEP learning, CONVOLUTIONAL neural networks, MAMMOGRAMS, COMPUTER-assisted image analysis (Medicine), IMAGE analysis, DIAGNOSTIC imaging

A Hybrid Manufacturing Process Monitoring Method Using Stacked Gated Recurrent Unit and Random Forest.

Authors: Yang, Chao-Lung Yilma, Atinkut Atinafu Woldegiorgis, Bereket Haile et al.

Source: Intelligent Automation & Soft Computing; 2024, Vol. 39 Issue 2, p233-254, 22p

Subject Terms: QUALITY control charts, MANUFACTURING processes, GAMMA distributions, GAUSSIAN distribution, RECURRENT neural networks, RANDOM forest algorithms, RESEARCH personnel

Company/Entity: ASSOCIATION of Research Libraries

Bearing fault diagnosis with parallel CNN and LSTM.

Authors: Guanghua Fu Qingjuan Wei Yongsheng Yang

Source: Mathematical Biosciences & Engineering; 2024, Vol. 21 Issue 2, p2385-2406, 22p

Gearbox fault diagnosis method based on lightweight channel attention mechanism and transfer learning.

Authors: Cheng, Xuemin Dou, Shuihai Du, Yanping et al.

Source: Scientific Reports; 1/10/2024, Vol. 14 Issue 1, p1-15, 15p

Subject Terms: GEARBOXES, FAULT diagnosis, CONVOLUTIONAL neural networks, DIAGNOSIS, WAVELET transforms, COMPLEX variables

LW-BPNN: A Novel Feature Extraction Method for Rolling Bearing Fault Diagnosis.

Authors: Zheng, Xiaoyang Feng, Zhixia Lei, Zijian et al.

Source: Processes; Dec2023, Vol. 11 Issue 12, p3351, 19p

Subject Terms: ROLLER bearings, FEATURE extraction, FAULT diagnosis, ROOT-mean-squares, ROTATING machinery, MAINTENANCE costs, DIAGNOSIS

An Adversarial Single-Domain Generalization Network for Fault Diagnosis of Wind Turbine Gearboxes.

Authors: Wang, Xinran Wang, Chenyong Liu, Hanlin et al.

Source: Journal of Marine Science & Engineering; Dec2023, Vol. 11 Issue 12, p2384, 18p

Subject Terms: FAULT diagnosis, WIND turbines, GEARBOXES, GENERALIZATION, ACQUISITION of data

Semantic Web Services Ingestion in a Process Mining Framework.

Authors: Redavid, Domenico Ferilli, Stefano

Source: Electronics (2079-9292); Dec2023, Vol. 12 Issue 23, p4767, 26p

Subject Terms: SEMANTIC Web, PROCESS mining, WEB services, WORKFLOW management systems, INTERNETWORKING, INDUCTION (Logic)

Zero-Shot Generative AI for Rotating Machinery Fault Diagnosis: Synthesizing Highly Realistic Training Data via Cycle-Consistent Adversarial Networks.

Authors: Di Maggio, Luigi Gianpio Brusa, Eugenio Delprete, Cristiana

Source: Applied Sciences (2076-3417); Nov2023, Vol. 13 Issue 22, p12458, 19p

Subject Terms: FAULT diagnosis, ROTATING machinery, GENERATIVE adversarial networks, CONVOLUTIONAL neural networks, ARTIFICIAL intelligence, INDUSTRIAL equipment

Classification-Detection of Metal Surfaces under Lower Edge Sharpness Using a Deep Learning-Based Approach Combined with an Enhanced LoG Operator.

Authors: Hong Zhang Jiaming Zhou Qi Wang et al.

Source: Computer Modeling in Engineering & Sciences (CMES); 2023, Vol. 137 Issue 2, p1551-1572, 22p

Subject Terms: METALLIC surfaces, DEEP learning, EDGE detection (Image processing), ELASTIC deformation, SURFACE defects, METAL detectors

Dmbg-Net: Dilated multiresidual boundary guidance network for COVID-19 infection segmentation.

Authors: Xiang, Zhenwu Mao, Qi Wang, Jintao et al.

Source: Electronic Research Archive; 2023, Vol. 31 Issue 11, p1-20, 20p

Subject Terms: COVID-19, IMAGE segmentation, COMPUTER-aided diagnosis, RECEPTIVE fields (Neurology), CONVOLUTIONAL neural networks

Fault diagnosis of anti-friction bearings based on Bi-dimensional ensemble local mean decomposition and optimized dynamic least square support vector machine.

Authors: Xiong, Zhengqiang Han, Chang Zhang, Guorong

Source: Scientific Reports; 10/18/2023, Vol. 13 Issue 1, p1-10, 10p

Subject Terms: FAULT diagnosis, LEAST squares, SUPPORT vector machines, FEATURE extraction, SIGNAL processing, SLIDING friction