A new hyper-parameter optimization method for machine learning in fault classification
出版年份 2022 全文链接
标题
A new hyper-parameter optimization method for machine learning in fault classification
作者
关键词
-
出版物
APPLIED INTELLIGENCE
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2022-10-21
DOI
10.1007/s10489-022-04238-0
参考文献
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- (2021) Hui Huang et al. APPLIED INTELLIGENCE
- Single- and Multi-Fault Diagnosis Using Machine Learning for Variable Frequency Drive-Fed Induction Motors
- (2020) Mohammad Zawad Ali et al. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
- Bearing Fault Diagnosis of Induction Motors Using a Genetic Algorithm and Machine Learning Classifiers
- (2020) Rafia Nishat Toma et al. SENSORS
- Prediction of undrained shear strength using extreme gradient boosting and random forest based on Bayesian optimization
- (2020) Wengang Zhang et al. Geoscience Frontiers
- Design of fault diagnosis algorithm for electric fan based on LSSVM and Kd-Tree
- (2020) Kongzhi Hu et al. APPLIED INTELLIGENCE
- Fault diagnosis of planetary gearbox using multi-criteria feature selection and heterogeneous ensemble learning classification
- (2020) Zirui Wang et al. MEASUREMENT
- Cross-domain fault diagnosis of rolling bearing using similar features-based transfer approach
- (2020) Ai-Song Qin et al. MEASUREMENT
- A New Reinforcement Learning Based Learning Rate Scheduler for Convolutional Neural Network in Fault Classification
- (2020) Long Wen et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Bearing Fault Diagnosis Method Based on Deep Convolutional Neural Network and Random Forest Ensemble Learning
- (2019) Gaowei Xu et al. SENSORS
- An XGBoost-based physical fitness evaluation model using advanced feature selection and Bayesian hyper-parameter optimization for wearable running monitoring
- (2019) Junqi Guo et al. Computer Networks
- A high-speed D-CART online fault diagnosis algorithm for rotor systems
- (2019) Huaxia Deng et al. APPLIED INTELLIGENCE
- Feature selection with Symmetrical Complementary Coefficient for quantifying feature interactions
- (2019) Rui Zhang et al. APPLIED INTELLIGENCE
- A deep capsule neural network with stochastic delta rule for bearing fault diagnosis on raw vibration signals
- (2019) Tianyou Chen et al. MEASUREMENT
- A sparse stacked denoising autoencoder with optimized transfer learning applied to the fault diagnosis of rolling bearings
- (2019) Meidi Sun et al. MEASUREMENT
- Slope stability prediction for circular mode failure using gradient boosting machine approach based on an updated database of case histories
- (2019) Jian Zhou et al. SAFETY SCIENCE
- Lightweight Convolutional Neural Network and Its Application in Rolling Bearing Fault Diagnosis under Variable Working Conditions
- (2019) Hengchang Liu et al. SENSORS
- A New Two-Level Hierarchical Diagnosis Network Based on Convolutional Neural Network
- (2019) Long Wen et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
- Nonlinear feature selection using Gaussian kernel SVM-RFE for fault diagnosis
- (2018) Yangtao Xue et al. APPLIED INTELLIGENCE
- Combined Fault Location and Classification for Power Transmission Lines Fault Diagnosis With Integrated Feature Extraction
- (2018) Yann Qi Chen et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Deep PCA Based Real-Time Incipient Fault Detection and Diagnosis Methodology for Electrical Drive in High-Speed Trains
- (2018) Hongtian Chen et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- A deep convolutional neural network with new training methods for bearing fault diagnosis under noisy environment and different working load
- (2018) Wei Zhang et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- A two-stage feature selection and intelligent fault diagnosis method for rotating machinery using hybrid filter and wrapper method
- (2018) Xiaolong Zhang et al. NEUROCOMPUTING
- A Convolutional Neural Network Based on a Capsule Network with Strong Generalization for Bearing Fault Diagnosis
- (2018) Zhiyu Zhu et al. NEUROCOMPUTING
- Data-driven fault diagnosis of satellite power system using fuzzy Bayes risk and SVM
- (2018) Mingliang Suo et al. AEROSPACE SCIENCE AND TECHNOLOGY
- Differential evolution optimization for resilient stacked sparse autoencoder and its applications on bearing fault diagnosis
- (2018) Syahril Ramadhan Saufi et al. MEASUREMENT SCIENCE and TECHNOLOGY
- A Systematic Review of Fuzzy Formalisms for Bearing Fault Diagnosis
- (2018) Chuan Li et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
- Construction of Membership Functions for Soil Mapping using the Partial Dependence of Soil on Environmental Covariates Calculated by Random Forest
- (2017) Canying Zeng et al. SOIL SCIENCE SOCIETY OF AMERICA JOURNAL
- Global hotspots and correlates of emerging zoonotic diseases
- (2017) Toph Allen et al. Nature Communications
- Wavelet leaders multifractal features based fault diagnosis of rotating mechanism
- (2013) Wenliao Du et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
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