Abstract. By analyzing relative literatures and building a simulation model, this paper finishes the analyzing of fault waveforms and studies fault characteristics from the perspective of signal synthesis.With one-to–many SVM, the image extract features and features is identified to training Sample and recognizing sample
Abstract — Power transformers are important equipments in power system. Smooth functioning is the ke...
In this paper, a SVM classifier based on S-Transform is presented for power quality disturbances cla...
A new approach for fault diagnosis in power grids is presented in this paper. The approach is capabl...
AbstractIn recent years, power quality has become the main concern in power system engineering. Clas...
A power system fault classification method based on the Hilbert-Huang transformation (HHT) and suppo...
Machine learning application have been widely used in various sector as part of reducing work load a...
At present, the fault signals of surface to air missile equipment are hard to collect and the accura...
The development of power grid system not only increases voltage and capacity, but also increases pow...
In this paper, an improved method based on HOG-SVM (histogram of oriented gradient characteristic an...
This paper presents an approach for identifying the faulted line section and fault location on trans...
Electrical faults in the distribution network can lead to interruptions in the power supply of the c...
In this paper, a new fault diagnosis techniques based on time domain reflectometry (TDR) method with...
Post-fault studies of recent major power failures around the world reveal that mal-operation and/or ...
This paper presents a multi-class support vector machine (SVMs) approach for locating and diagnosing...
This paper presents an approach for identifying the faulted line section and fault location on trans...
Abstract — Power transformers are important equipments in power system. Smooth functioning is the ke...
In this paper, a SVM classifier based on S-Transform is presented for power quality disturbances cla...
A new approach for fault diagnosis in power grids is presented in this paper. The approach is capabl...
AbstractIn recent years, power quality has become the main concern in power system engineering. Clas...
A power system fault classification method based on the Hilbert-Huang transformation (HHT) and suppo...
Machine learning application have been widely used in various sector as part of reducing work load a...
At present, the fault signals of surface to air missile equipment are hard to collect and the accura...
The development of power grid system not only increases voltage and capacity, but also increases pow...
In this paper, an improved method based on HOG-SVM (histogram of oriented gradient characteristic an...
This paper presents an approach for identifying the faulted line section and fault location on trans...
Electrical faults in the distribution network can lead to interruptions in the power supply of the c...
In this paper, a new fault diagnosis techniques based on time domain reflectometry (TDR) method with...
Post-fault studies of recent major power failures around the world reveal that mal-operation and/or ...
This paper presents a multi-class support vector machine (SVMs) approach for locating and diagnosing...
This paper presents an approach for identifying the faulted line section and fault location on trans...
Abstract — Power transformers are important equipments in power system. Smooth functioning is the ke...
In this paper, a SVM classifier based on S-Transform is presented for power quality disturbances cla...
A new approach for fault diagnosis in power grids is presented in this paper. The approach is capabl...