A hybrid approach for measuring the vibrational trend of hydroelectric unit with enhanced multi-scale chaotic series analysis and optimized least squares support vector machine
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A hybrid approach for measuring the vibrational trend of hydroelectric unit with enhanced multi-scale chaotic series analysis and optimized least squares support vector machine
Authors
Keywords
-
Journal
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
Volume -, Issue -, Pages 014233121986027
Publisher
SAGE Publications
Online
2019-07-11
DOI
10.1177/0142331219860279
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A Hybrid Approach for Multi-Step Wind Speed Forecasting Based on Multi-Scale Dominant Ingredient Chaotic Analysis, KELM and Synchronous Optimization Strategy
- (2019) Wenlong Fu et al. Sustainability
- Blind Parameter Identification of MAR Model and Mutation Hybrid GWO-SCA Optimized SVM for Fault Diagnosis of Rotating Machinery
- (2019) Wenlong Fu et al. COMPLEXITY
- Multi-step short-term wind speed forecasting approach based on multi-scale dominant ingredient chaotic analysis, improved hybrid GWO-SCA optimization and ELM
- (2019) Wenlong Fu et al. ENERGY CONVERSION AND MANAGEMENT
- Fault Diagnosis for Rolling Bearing Based on Semi-Supervised Clustering and Support Vector Data Description with Adaptive Parameter Optimization and Improved Decision Strategy
- (2019) Tan et al. Applied Sciences-Basel
- A region search evolutionary algorithm for many-objective optimization
- (2019) Yongqi Liu et al. INFORMATION SCIENCES
- A new procedure in stock market forecasting based on fuzzy random auto-regression time series model
- (2018) Riswan Efendi et al. INFORMATION SCIENCES
- Effective fault prediction model developed using Least Square Support Vector Machine (LSSVM)
- (2018) Lov Kumar et al. JOURNAL OF SYSTEMS AND SOFTWARE
- Short-Term Power Load Forecasting Method Based on Improved Exponential Smoothing Grey Model
- (2018) Jianwei Mi et al. MATHEMATICAL PROBLEMS IN ENGINEERING
- Hierarchical Flood Operation Rules Optimization Using Multi-Objective Cultured Evolutionary Algorithm Based on Decomposition
- (2018) Yongqi Liu et al. WATER RESOURCES MANAGEMENT
- Vibration trend measurement for a hydropower generator based on optimal variational mode decomposition and an LSSVM improved with chaotic sine cosine algorithm optimization
- (2018) Wenlong Fu et al. MEASUREMENT SCIENCE and TECHNOLOGY
- A Data-Driven Fuzzy Information Granulation Approach for Freight Volume Forecasting
- (2017) Shen Yin et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- A novel hybrid neural network based on phase space reconstruction technique for daily river flow prediction
- (2017) Hadi Delafrouz et al. SOFT COMPUTING
- Wavelet-fractal diagnosis model and its criterion for concrete dam crack status
- (2017) Huaizhi Su et al. TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
- SCA: A Sine Cosine Algorithm for solving optimization problems
- (2016) Seyedali Mirjalili KNOWLEDGE-BASED SYSTEMS
- SVD and Hankel matrix based de-noising approach for ball bearing fault detection and its assessment using artificial faults
- (2016) Reza Golafshan et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Artificial neural network model for ground vibration amplitudes prediction due to light railway traffic in urban areas
- (2016) G. Paneiro et al. NEURAL COMPUTING & APPLICATIONS
- Multiple-domain manifold for feature extraction in machinery fault diagnosis
- (2015) Meng Gan et al. MEASUREMENT
- A state tendency measurement for a hydro-turbine generating unit based on aggregated EEMD and SVR
- (2015) Wenlong Fu et al. MEASUREMENT SCIENCE and TECHNOLOGY
- Denoising of hydropower unit vibration signal based on variational mode decomposition and approximate entropy
- (2015) Xueli An et al. TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
- Variational Mode Decomposition
- (2014) Konstantin Dragomiretskiy et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- Constrained Total Variation Deblurring Models and Fast Algorithms Based on Alternating Direction Method of Multipliers
- (2013) Raymond H. Chan et al. SIAM Journal on Imaging Sciences
- Fault diagnosis and health assessment for bearings using the Mahalanobis–Taguchi system based on EMD-SVD
- (2013) Zhipeng Wang et al. TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
- Vibrant fault diagnosis for hydroelectric generator units with a new combination of rough sets and support vector machine
- (2011) Xiaoyuan Zhang et al. EXPERT SYSTEMS WITH APPLICATIONS
- Rate-Dependent Hysteresis Modeling and Control of a Piezostage Using Online Support Vector Machine and Relevance Vector Machine
- (2011) Pak-Kin Wong et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Neural network (ANN) approach to biodiesel analysis: Analysis of biodiesel density, kinematic viscosity, methanol and water contents using near infrared (NIR) spectroscopy
- (2010) Roman M. Balabin et al. FUEL
- Wind speed forecasting in three different regions of Mexico, using a hybrid ARIMA–ANN model
- (2010) Erasmo Cadenas et al. RENEWABLE ENERGY
- Condition prediction based on wavelet packet transform and least squares support vector machine methods
- (2009) F Zhao et al. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART E-JOURNAL OF PROCESS MECHANICAL ENGINEERING
- One or Two Frequencies? The Empirical Mode Decomposition Answers
- (2008) G. Rilling et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- Rotating machinery prognostics: State of the art, challenges and opportunities
- (2008) Aiwina Heng et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now