Identifying Power Quality Disturbances in Real Time Using Incremental Wavelet Decomposition and Least Square Support Vector Machine

2009 ◽  
Author(s):  
Jinsha Yuan ◽  
Yinghui Kong ◽  
Tiefeng Zhang
Keyword(s):  
Support Vector Machine ◽  
Real Time ◽  
Power Quality ◽  
Wavelet Decomposition ◽  
Least Square ◽  
Support Vector ◽  
Power Quality Disturbances

scholarly journals Real-Time Parameter Estimation of a Nonlinear Vessel Steering Model Using a Support Vector Machine

2019 ◽  
Vol 141 (6) ◽  
Author(s):  
Haitong Xu ◽  
M. A. Hinostroza ◽  
Vahid Hassani ◽  
C. Guedes Soares
Keyword(s):  
Support Vector Machine ◽  
Real Time ◽  
Time Parameter ◽  
Least Square ◽  
Training Data ◽  
Support Vector ◽  
Dynamic Parameters ◽  
Ship Model ◽  
Free Running ◽  
Marine Vessels

The least-square support vector machine (LS-SVM) is used to estimate the dynamic parameters of a nonlinear marine vessel steering model in real-time. First, maneuvering tests are carried out based on a scaled free-running ship model. The parameters are estimated using standard LS-SVM and compared with the theoretical solutions. Then, an online version, a sequential least-square support vector machine, is derived and used to estimate the parameters of vessel steering in real-time. The results are compared with the values estimated by standard LS-SVM with batched training data. By comparison, a sequential least-square support vector machine can dynamically estimate the parameters successfully, and it can be used for designing a dynamic model-based controller of marine vessels.

scholarly journals A Virtual Instrument for Electrical Power Quality Analysis using Wavelet Technology in Real-time

2014 ◽  
pp. 91-96
Author(s):  
Debasis Tripathy ◽  
Amar Kumar Barik ◽  
B. Srinivas Rao ◽  
Ranjita Rout
Keyword(s):  
Power System ◽  
Real Time ◽  
Power Quality ◽  
Input Signal ◽  
Virtual Instrument ◽  
Wavelet Decomposition ◽  
Wavelet Packet ◽  
Wavelet Packet Transform ◽  
Decomposition Tree ◽  
Power Quality Disturbances

This paper discusses the design of a virtual instrument for detection and analysis of power quality disturbances in Power System using Wavelet Packet Transform with the help of LabVIEW® algorithm. The virtual instrument designed can operate in different working modes depending on the type of power quality disturbances to be detected and analyzed. Different wavelet analysis (discrete or wavelet-packet transform), with different mother wavelet, decomposition tree and different sampling rate is performed on the input signal either in real-time or off-line. The instrument also permits the partial implementation of a wavelet decomposition tree when we are only interested in a specific frequency band in the input signal. The real signals from chroma programming are used in LabVIEW® algorithm by Data Acquisition (DAQ) card to acquire and digitize the input line signal to obtain the results. The results obtained in simulation using real signals demonstrate good performance of the instrument developed for the detection and analysis of different power quality disturbances with proper time information of the signal. This helps us to analyze the power quality problems to improve the supply quality of the power system effectively by taking proper preventive measures

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