4.6 Article

A Novel Method for Predicting Fault Labels of Roller Bearing by Generalized Laplacian Matrix

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Automation & Control Systems

Bearing defect diagnosis based on semi-supervised kernel Local Fisher Discriminant Analysis using pseudo labels

Xinmin Tao et al.

Summary: In this paper, a novel bearing defect diagnosis model based on semi-supervised kernel local Fisher Discriminant Analysis (SSKLFDA) using pseudo labels is proposed, which can effectively extract optimal features for classification and utilize unlabeled data for regularizing the supervised dimensionality reduction. Experimental results show that the proposed SSKLFDA based bearings fault diagnosis model achieves higher classification performance than other existing dimensionality reduction methods-based models under different feature dimensions, numbers of labeled data, and subsequent classifiers scenarios.

ISA TRANSACTIONS (2021)

Article Engineering, Mechanical

Knowledge mapping-based adversarial domain adaptation: A novel fault diagnosis method with high generalizability under variable working conditions

Qi Li et al.

Summary: The study proposes a knowledge mapping-based adversarial domain adaptation (KMADA) method, utilizing a discriminator and feature extractor to learn knowledge from the target domain. KMADA fully utilizes parameters obtained from supervised pre-training to accelerate the adversarial training process, achieving the highest diagnosis accuracy compared to other TL methods.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2021)

Article Engineering, Mechanical

A multi-stage semi-supervised learning approach for intelligent fault diagnosis of rolling bearing using data augmentation and metric learning

Kun Yu et al.

Summary: A three-stage semi-supervised learning method is proposed in this study for intelligent bearing fault diagnosis under limited labeled data, using data augmentation and metric learning to enhance classifier performance. Experimental results demonstrate that the proposed method outperforms existing diagnostic methods in bearing fault diagnosis under limited labeled samples.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2021)

Article Energy & Fuels

Line Inductance Stability Operation Domain Assessment for Weak Grids With Multiple Constant Power Loads

Wang Rui et al.

Summary: This paper proposed a stability-oriented line inductance stability domain assessment approach for weak grids with CPLs, which involves building source impedance matrix and load admittance matrix, proposing an improved stability forbidden domain criterion, and achieving satisfactory simulation and experimental results.

IEEE TRANSACTIONS ON ENERGY CONVERSION (2021)

Article Computer Science, Artificial Intelligence

A classification method to detect faults in a rotating machinery based on kernelled support tensor machine and multilinear principal component analysis

Chaofan Hu et al.

Summary: A novel classification technique utilizing kernelled support tensor machine (KSTM) and multilinear principal component analysis (MPCA) is introduced for fault detection of rotating machines. Through the use of a 3-way tensor, KSTM, and MPCA, the technique effectively handles fault diagnosis and information classification in rotating machinery.

APPLIED INTELLIGENCE (2021)

Article Computer Science, Artificial Intelligence

Belief-peaks clustering based on fuzzy label propagation

Jintao Meng et al.

APPLIED INTELLIGENCE (2020)

Article Automation & Control Systems

Fault Classification in High-Dimensional Complex Processes Using Semi-Supervised Deep Convolutional Generative Models

Taeyoung Ko et al.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2020)

Article Engineering, Multidisciplinary

Symmetric co-training based unsupervised domain adaptation approach for intelligent fault diagnosis of rolling bearing

Kun Yu et al.

MEASUREMENT SCIENCE AND TECHNOLOGY (2020)

Article Automation & Control Systems

Machinery Health Monitoring Based on Unsupervised Feature Learning via Generative Adversarial Networks

Jun Dai et al.

IEEE-ASME TRANSACTIONS ON MECHATRONICS (2020)

Article Computer Science, Artificial Intelligence

GLLPA: A Graph Layout based Label Propagation Algorithm for community detection

Yun Zhang et al.

KNOWLEDGE-BASED SYSTEMS (2020)

Article Computer Science, Artificial Intelligence

New label propagation algorithm with pairwise constraints

Liang Bai et al.

PATTERN RECOGNITION (2020)

Article Computer Science, Artificial Intelligence

Robust Triple-Matrix-Recovery-Based Auto-Weighted Label Propagation for Classification

Huan Zhang et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2020)

Article Engineering, Electrical & Electronic

Domain Adversarial Transfer Network for Cross-Domain Fault Diagnosis of Rotary Machinery

Zhuyun Chen et al.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2020)

Article Engineering, Electrical & Electronic

An Unsupervised Fault-Detection Method for Railway Turnouts

Zijian Guo et al.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2020)

Article Computer Science, Information Systems

Modified Label Propagation on Manifold With Applications to Fault Classification

Ying Xie

IEEE ACCESS (2020)

Article Computer Science, Information Systems

An Intelligent Fault Diagnosis for Rolling Bearing Based on Adversarial Semi-Supervised Method

Yongchao Zhang et al.

IEEE ACCESS (2020)

Article Computer Science, Information Systems

Deep Neural Network Ensemble for the Intelligent Fault Diagnosis of Machines Under Imbalanced Data

Feng Jia et al.

IEEE ACCESS (2020)

Article Computer Science, Information Systems

A Deep Multi-Label Learning Framework for the Intelligent Fault Diagnosis of Machines

Jianjun Shen et al.

IEEE ACCESS (2020)

Article Automation & Control Systems

Feature Trend Extraction and Adaptive Density Peaks Search for Intelligent Fault Diagnosis of Machines

Yanxue Wang et al.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2019)

Article Engineering, Mechanical

Multidimensional denoising of rotating machine based on tensor factorization

Chaofan Hu et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2019)

Article Computer Science, Information Systems

Predicting CircRNA-Disease Associations Through Linear Neighborhood Label Propagation Method

Wen Zhang et al.

IEEE ACCESS (2019)

Article Computer Science, Artificial Intelligence

A novel intelligent method for bearing fault diagnosis based on affinity propagation clustering and adaptive feature selection

Zexian Wei et al.

KNOWLEDGE-BASED SYSTEMS (2017)

Article Computer Science, Artificial Intelligence

Deformed Graph Laplacian for Semisupervised Learning

Chen Gong et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2015)

Article Automation & Control Systems

The deformed consensus protocol

Fabio Morbidi

AUTOMATICA (2013)

Article Computer Science, Artificial Intelligence

Robustness and generalization

Huan Xu et al.

MACHINE LEARNING (2012)