4.5 Article

Intelligent fault diagnosis for rotating machinery based on potential energy feature and adaptive transfer affinity propagation clustering

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 Green & Sustainable Science & Technology

Diagnosis of wind turbine faults with transfer learning algorithms

Wanqiu Chen et al.

Summary: This study presents a framework for fault diagnosis of wind turbine faults using transfer learning algorithms Inception V3 and TrAdaBoost, and introduces a new evaluation index 'Comprehensive Index'. Traditional machine learning algorithms perform poorly for unbalanced and differently distributed datasets, while the novel transfer learning algorithm TrAdaBoost shows superior performance in dealing with such challenges.

RENEWABLE ENERGY (2021)

Article Computer Science, Artificial Intelligence

Transfer learning extensions for the probabilistic classification vector machine

Christoph Raab et al.

NEUROCOMPUTING (2020)

Article Engineering, Manufacturing

On transfer learning for chatter detection in turning using wavelet packet transform and ensemble empirical mode decomposition

Melih C. Yesilli et al.

CIRP JOURNAL OF MANUFACTURING SCIENCE AND TECHNOLOGY (2020)

Proceedings Paper Computer Science, Artificial Intelligence

Meta-Transfer Learning for Zero-Shot Super-Resolution

Jae Woong Soh et al.

2020 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (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 Biochemistry & Molecular Biology

Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning

Daniel S. Kermany et al.

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, Interdisciplinary Applications

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

Hoo-Chang Shin et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)

Article Computer Science, Information Systems

Transfer affinity propagation-based clustering

Wenlong Hang et al.

INFORMATION SCIENCES (2016)

Article Computer Science, Artificial Intelligence

Learning with Augmented Features for Supervised and Semi-Supervised Heterogeneous Domain Adaptation

Wen Li et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2014)

Article Computer Science, Artificial Intelligence

Transfer learning for activity recognition: a survey

Diane Cook et al.

KNOWLEDGE AND INFORMATION SYSTEMS (2013)

Article Computer Science, Artificial Intelligence

Domain Adaptation via Transfer Component Analysis

Sinno Jialin Pan et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS (2011)

Article Computer Science, Information Systems

A time-efficient pattern reduction algorithm for k-means clustering

Ming-Chao Chiang et al.

INFORMATION SCIENCES (2011)

Article Computer Science, Artificial Intelligence

A Survey on Transfer Learning

Sinno Jialin Pan et al.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2010)

Article Biochemistry & Molecular Biology

iPARTS: an improved tool of pairwise alignment of RNA tertiary structures

Chih-Wei Wang et al.

NUCLEIC ACIDS RESEARCH (2010)

Article Computer Science, Hardware & Architecture

Diversifying Image Retrieval with Affinity-Propagation Clustering on Visual Manifolds

Zhong-Qiu Zhao et al.

IEEE MULTIMEDIA (2009)

Article Mathematics, Interdisciplinary Applications

ENSEMBLE EMPIRICAL MODE DECOMPOSITION: A NOISE-ASSISTED DATA ANALYSIS METHOD

Zhaohua Wu et al.

ADVANCES IN DATA SCIENCE AND ADAPTIVE ANALYSIS (2009)