Improved probabilistic neural networks with self-adaptive strategies for transformer fault diagnosis problem
出版年份 2016 全文链接
标题
Improved probabilistic neural networks with self-adaptive strategies for transformer fault diagnosis problem
作者
关键词
-
出版物
Advances in Mechanical Engineering
Volume 8, Issue 1, Pages 168781401562483
出版商
SAGE Publications
发表日期
2016-01-09
DOI
10.1177/1687814015624832
参考文献
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- (2015) Hassan Fathabadi APPLIED SOFT COMPUTING
- Prediction approach of software fault-proneness based on hybrid artificial neural network and quantum particle swarm optimization
- (2015) Cong Jin et al. APPLIED SOFT COMPUTING
- Reliable fault diagnosis for incipient low-speed bearings using fault feature analysis based on a binary bat algorithm
- (2015) Myeongsu Kang et al. INFORMATION SCIENCES
- Self-adaptive extreme learning machine
- (2015) Gai-Ge Wang et al. NEURAL COMPUTING & APPLICATIONS
- Monarch butterfly optimization
- (2015) Gai-Ge Wang et al. NEURAL COMPUTING & APPLICATIONS
- Improved shuffled frog leaping algorithm-based BP neural network and its application in bearing early fault diagnosis
- (2015) Zhuanzhe Zhao et al. NEURAL COMPUTING & APPLICATIONS
- A bearing fault diagnosis method based on the low-dimensional compressed vibration signal
- (2015) Xinpeng Zhang et al. Advances in Mechanical Engineering
- Simultaneous-fault detection based on qualitative symptom descriptions for automotive engine diagnosis
- (2014) Chi Man Vong et al. APPLIED SOFT COMPUTING
- Power system fault diagnosis based on history driven differential evolution and stochastic time domain simulation
- (2014) Junhua Zhao et al. INFORMATION SCIENCES
- An optimized nearest prototype classifier for power plant fault diagnosis using hybrid particle swarm optimization algorithm
- (2014) Xiaoxia Wang et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Multi-objective unsupervised feature selection algorithm utilizing redundancy measure and negative epsilon-dominance for fault diagnosis
- (2014) Hu Xia et al. NEUROCOMPUTING
- Predicting the maintenance cost of construction equipment: Comparison between general regression neural network and Box–Jenkins time series models
- (2013) Hon-lun Yip et al. AUTOMATION IN CONSTRUCTION
- A variant of the particle swarm optimization for the improvement of fault diagnosis in industrial systems via faults estimation
- (2013) Lídice Camps Echevarría et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Binary bat algorithm
- (2013) Seyedali Mirjalili et al. NEURAL COMPUTING & APPLICATIONS
- Fault Prognostic Based on Hybrid Method of State Judgment and Regression
- (2013) Xiaobin Li et al. Advances in Mechanical Engineering
- A fault diagnosis method of Smart Grid based on rough sets combined with genetic algorithm and tabu search
- (2012) Qiuye Sun et al. NEURAL COMPUTING & APPLICATIONS
- Dynamic ensemble extreme learning machine based on sample entropy
- (2012) Jun-hai Zhai et al. SOFT COMPUTING
- An enhanced extreme learning machine based on ridge regression for regression
- (2011) Guoqiang Li et al. NEURAL COMPUTING & APPLICATIONS
- Extreme learning machines: a survey
- (2011) Guang-Bin Huang et al. International Journal of Machine Learning and Cybernetics
- Using Artificial Neural Network for Predicting Impurity Concentration in Solid Diffusion Process under Insufficient Input Parameters
- (2011) Iyad M. Muslih et al. Advances in Mechanical Engineering
- Multi-fault classification based on support vector machine trained by chaos particle swarm optimization
- (2010) Xianlun Tang et al. KNOWLEDGE-BASED SYSTEMS
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