4.7 Article

A novel hybrid method based on KELM with SAPSO for fault diagnosis of rolling bearing under variable operating conditions

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 Engineering, Multidisciplinary

Fault detection of wind turbine based on SCADA data analysis using CNN and LSTM with attention mechanism

Ling Xiang et al.

Summary: A new method for fault detection of wind turbines is proposed in this paper, which combines CNN and LSTM networks trained on SCADA data to enhance accuracy and predictive effectiveness.

MEASUREMENT (2021)

Review Engineering, Multidisciplinary

Latest developments in gear defect diagnosis and prognosis: A review

Anil Kumar et al.

MEASUREMENT (2020)

Article Engineering, Mechanical

A two-stage method based on extreme learning machine for predicting the remaining useful life of rolling-element bearings

Zuozhou Pan et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2020)

Review Engineering, Mechanical

A review of stochastic resonance in rotating machine fault detection

Siliang Lu et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2019)

Article Energy & Fuels

Intelligent wind turbine gearbox diagnosis using VMDEA and ELM

Muhammad Firdaus Isham et al.

WIND ENERGY (2019)

Article Computer Science, Interdisciplinary Applications

Combining a gravitational search algorithm, particle swarm optimization, and fuzzy rules to improve the classification performance of a feed-forward neural network

Mei-Ling Huang et al.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (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)

Review Engineering, Mechanical

Rolling element bearing diagnostics using the Case Western Reserve University data: A benchmark study

Wade A. Smith et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2015)

Article Engineering, Mechanical

A fault diagnosis method based on local mean decomposition and multi-scale entropy for roller bearings

Huanhuan Liu et al.

MECHANISM AND MACHINE THEORY (2014)

Article Computer Science, Artificial Intelligence

An Insight into Extreme Learning Machines: Random Neurons, Random Features and Kernels

Guang-Bin Huang

COGNITIVE COMPUTATION (2014)

Article Automation & Control Systems

Extreme Learning Machine for Regression and Multiclass Classification

Guang-Bin Huang et al.

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS (2012)

Article Computer Science, Artificial Intelligence

EEMD method and WNN for fault diagnosis of locomotive roller bearings

Yaguo Lei et al.

EXPERT SYSTEMS WITH APPLICATIONS (2011)

Article Computer Science, Artificial Intelligence

Extreme learning machine: Theory and applications

Guang-Bin Huang et al.

NEUROCOMPUTING (2006)

Article Computer Science, Artificial Intelligence

Kernel whitening for one-class classification

DMJ Tax et al.

INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE (2003)

Article Multidisciplinary Sciences

A global geometric framework for nonlinear dimensionality reduction

JB Tenenbaum et al.

SCIENCE (2000)