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A fault diagnosis method is proposed for the mine hoist machine fault diversity and redundancy of fault data based on Rough Sets (RS) and Support Vector Machine (SVM). RS theory is used to analyze the stator current fault data of mine hoist machine in order to exclude uncertain, duplicate information. For getting the optimal decision table, the equivalence relationship of positive domains of between...
Understanding the spatial traffic patterns of wireless cellular system could facilitate the performance analysis and system design. In this paper, a novel method based on base stations social network (BSSN) is proposed for the prediction of spatial traffic in wireless cellular system. Firstly a BSSN, which can describe the spatial traffic relationship between base stations (BSs), is established with...
With changes in insulated defects, the environment, and so on, new partial discharge (PD) data are highly different from the original samples. It leads to a decrease in on-line recognition rate. Using ultra-high frequency (UHF) cumulative energy and its corresponding apparent discharge as inputs, a support vector machine (SVM) incremental method based on simulated annealing (SA) is constructed. Examples...
Based on the characteristics of coal and power pool project, a financing risk assessment indexes system is established. Considering the indexes are considerable, an hybrid model based on rough set (RS) and support vector machine (SVM) is proposed: Rough sets, as a anterior preprocessor of SVM, can find out the kernel factors influencing the financing risk of coal and power pool project by means of...
This paper presents a novel dynamic curvature based approach (dynamic shape-index based approach) for 3D face analysis. This method is inspired by the idea of 2D dynamic texture and 3D surface descriptors. The dynamic texture (DT) based approaches [30][31][32] encode and model the local texture features in the temporal axis, and have achieved great success in applications of 2D facial expression recognition...
In this paper, we present an interactive method for liver tumor segmentation from computed tomography (CT) scans. After some pre-processing operations, including liver parenchyma segmentation and liver contrast enhancement, the CT volume is partitioned into a large number of catchment basins under watershed transform. Then a support vector machines (SVM) classifier is trained on the user-selected...
Support Vector Machine has the convenient superiority in the classification. Recently it has been extended to the domain of regression problems. However, due to the increasing index, excess input data and complicated system structure, it is difficult to achieve good accuracy in results. This paper adopts combination method of rough set and support vector machine so as to establish rough set attribute...
Based on the character and function of pumped storage station, a benefit evaluating indexes system is established.Considering the indexes are considerable, an hybrid model based on rough set (RS) and support vector machine(SVM) is proposed: Rough sets, as a anterior preprocessor of SVM, can find out the kernel factors influencing the safety of power supply enterprise by means of attribute reduction...
Considering safety assessment indexes of power supply enterprise are considerable, an hybrid model based on rough sets (RS) and support vector machine(SVM) is proposed: rough sets, as a anterior preprocessor of SVM, can find out the kernel factors influencing the safety of power supply enterprise by means of attribute reduction algorithm, and then, using them as the input vectors of SVM, the safety...
In view of the situation that the single index of net coal consumption rate can not evaluate the operating economy of thermal power plant in all sides, a comprehensive index system is established and a synthetic evaluation model based on support vector machine (SVM) and quick sort algorithm is presented. Then experiments are made by using the real data from thermal power plants and the sequence of...
According to the situation of blended coal's property predicting, a new kind of prediction model for power coal blending based on support vector machine is established, then this paper makes experiments by using the real data, and the results compared with weighted averaging method and neural network show that SVM has higher prediction accuracy in the condition of few data, thus the model has great...
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