Cargando…

A Weighted Deep Representation Learning Model for Imbalanced Fault Diagnosis in Cyber-Physical Systems

Predictive maintenance plays an important role in modern Cyber-Physical Systems (CPSs) and data-driven methods have been a worthwhile direction for Prognostics Health Management (PHM). However, two main challenges have significant influences on the traditional fault diagnostic models: one is that ex...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wu, Zhenyu, Guo, Yang, Lin, Wenfang, Yu, Shuyang, Ji, Yang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2018
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5948747/ https://www.ncbi.nlm.nih.gov/pubmed/29621131 http://dx.doi.org/10.3390/s18041096

Ejemplares similares

An Imbalanced Fault Diagnosis Method Based on TFFO and CNN for Rotating Machinery
por: Zhang, Long, et al.
Publicado: (2022)

Fault Diagnosis Method for Imbalanced Data Based on Multi-Signal Fusion and Improved Deep Convolution Generative Adversarial Network
por: Deng, Congying, et al.
Publicado: (2023)

Intelligent Fault Diagnosis of Industrial Robot Based on Multiclass Mahalanobis-Taguchi System for Imbalanced Data
por: Sun, Yue, et al.
Publicado: (2022)

Online Domain Adaptation for Rolling Bearings Fault Diagnosis with Imbalanced Cross-Domain Data
por: Chao, Ko-Chieh, et al.
Publicado: (2022)

Ensemble Capsule Network with an Attention Mechanism for the Fault Diagnosis of Bearings from Imbalanced Data Samples
por: Xu, Zengbing, et al.
Publicado: (2022)

Cyber-Physical System for Environmental Monitoring Based on Deep Learning
por: Monedero, Íñigo, et al.
Publicado: (2021)

Tomek Link and SMOTE Approaches for Machine Fault Classification with an Imbalanced Dataset
por: Swana, Elsie Fezeka, et al.
Publicado: (2022)

Deep learning applications for cyber security
por: Alazab, Mamoun, et al.
Publicado: (2019)

Generative Adversarial Network-Based Scheme for Diagnosing Faults in Cyber-Physical Power Systems
por: Hassani, Hossein, et al.
Publicado: (2021)

A Semi-Supervised Approach to Bearing Fault Diagnosis under Variable Conditions towards Imbalanced Unlabeled Data
por: Chen, Xinan, et al.
Publicado: (2018)

A Novel Domain Adaptation-Based Intelligent Fault Diagnosis Model to Handle Sample Class Imbalanced Problem
por: Zhang, Zhongwei, et al.
Publicado: (2021)

Geometric Deep Lean Learning: Deep Learning in Industry 4.0 Cyber–Physical Complex Networks
por: Villalba-Díez, Javier, et al.
Publicado: (2020)

Fault Diagnosis and Fault Frequency Determination of Permanent Magnet Synchronous Motor Based on Deep Learning
por: Wang, Chiao-Sheng, et al.
Publicado: (2021)

Deep-Learning-Based Methodology for Fault Diagnosis in Electromechanical Systems
por: Arellano-Espitia, Francisco, et al.
Publicado: (2020)

Deep Learning with LPC and Wavelet Algorithms for Driving Fault Diagnosis
por: Gong, Cihun-Siyong Alex, et al.
Publicado: (2022)

Power Equipment Fault Diagnosis Method Based on Energy Spectrogram and Deep Learning
por: Liu, Yiyang, et al.
Publicado: (2022)

Trust-based fault detection and robust fault-tolerant control of uncertain cyber-physical systems against time-delay injection attacks()
por: Baromand, Salman, et al.
Publicado: (2021)

Learning Attention Representation with a Multi-Scale CNN for Gear Fault Diagnosis under Different Working Conditions
por: Yao, Yong, et al.
Publicado: (2020)

Multitask CapsNet: An Imbalanced Data Deep Learning Method for Predicting Toxicants
por: Wang, Yiwei, et al.
Publicado: (2021)

Adversarial Deep Transfer Learning in Fault Diagnosis: Progress, Challenges, and Future Prospects
por: Guo, Yu, et al.
Publicado: (2023)

Imbalanced Loss-Integrated Deep-Learning-Based Ultrasound Image Analysis for Diagnosis of Rotator-Cuff Tear
por: Lee, Kyungsu, et al.
Publicado: (2021)

Imbalanced Learning Based on Logistic Discrimination
por: Guo, Huaping, et al.
Publicado: (2016)

Generative Adversarial Network-Based Fault Detection in Semiconductor Equipment with Class-Imbalanced Data
por: Choi, Jeong Eun, et al.
Publicado: (2023)

Deep Learning-Based Imbalanced Classification With Fuzzy Support Vector Machine
por: Wang, Ke-Fan, et al.
Publicado: (2022)

An Efficient Deep Learning-Based Skin Cancer Classifier for an Imbalanced Dataset
por: Alam, Talha Mahboob, et al.
Publicado: (2022)

Facial Expression Recognition Based on Weighted-Cluster Loss and Deep Transfer Learning Using a Highly Imbalanced Dataset
por: Ngo, Quan T., et al.
Publicado: (2020)

Deep Learning-Based Bearing Fault Diagnosis Method for Embedded Systems
por: Pham, Minh Tuan, et al.
Publicado: (2020)

Cyber security for cyber physical systems
por: Ali, Saqib, et al.
Publicado: (2018)

Cyber-physical systems
por: Guo, Song, et al.
Publicado: (2018)

NNV: The Neural Network Verification Tool for Deep Neural Networks and Learning-Enabled Cyber-Physical Systems
por: Tran, Hoang-Dung, et al.
Publicado: (2020)

Multi-Representation Domain Adaptation Network with Duplex Adversarial Learning for Hot-Rolling Mill Fault Diagnosis
por: Peng, Rongrong, et al.
Publicado: (2022)

Class-Aware Fish Species Recognition Using Deep Learning for an Imbalanced Dataset
por: Alaba, Simegnew Yihunie, et al.
Publicado: (2022)

Skin Lesion Classification on Imbalanced Data Using Deep Learning with Soft Attention
por: Nguyen, Viet Dung, et al.
Publicado: (2022)

Light-Weighted Deep Learning Model to Detect Fault in IoT-Based Industrial Equipment
por: Soni, Mukesh, et al.
Publicado: (2022)

Quantized Constant-Q Gabor Atoms for Sparse Binary Representations of Cyber-Physical Signatures
por: Garcés, Milton A.
Publicado: (2020)

A Hybrid Feature Model and Deep-Learning-Based Bearing Fault Diagnosis
por: Sohaib, Muhammad, et al.
Publicado: (2017)

Multi-Sensor Fault Diagnosis of Underwater Thruster Propeller Based on Deep Learning
por: Tsai, Chia-Ming, et al.
Publicado: (2021)

Trend Feature Consistency Guided Deep Learning Method for Minor Fault Diagnosis
por: Jia, Pengpeng, et al.
Publicado: (2023)

Deep transfer learning strategy for efficient domain generalisation in machine fault diagnosis
por: Asutkar, Supriya, et al.
Publicado: (2023)

Deep supervised learning using self-adaptive auxiliary loss for COVID-19 diagnosis from imbalanced CT images
por: Hu, Kai, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_oo0kh5es8ocli692ntcod3a6sa