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The value of boiler drum level is usually obtained by operator visual reading to bicolor water level gauge, but it brings the problems such as inefficiency and bigger subjective error. In order to get value corresponding to the meter in the image, the processing algorithms based on Chow-Kaneko threshold processing and ISEF (Infinite Symmetric Exponential Filter) for image of the gauge are studied,...
A number of techniques have been devised by researchers to counter malware attacks, and machine learning techniques play an important role in automated malware detection. Several machine learning approaches have been applied to malware detection, based on different features derived from dynamic analysis of the malware. While these methods demonstrate promise, they pose at least two major challenges...
In this paper, a method for calibrating and compensating the errors of magnetometer is proposed, in which the error sources consist of constant bias, scale factors, nonorthogonality, hard iron effects and soft iron effects. Related estimation algorithms were proposed, calibration procedure was presented. Two dimensional and three dimensional cases are considered, the efficiency of the proposed algorithms...
Aiming at the weakness and deficiency of current coal mine monitoring system, this paper discusses the design and implementation of a platform to remotely monitor and control coal mine production processes over Industrial Ethernet by using the embedded technology. Integrated with each lower computer terminal are S3C2410 microprocessors that can be used for connectivity to the monitoring network effectively...
Along with the rapid development of the Internet, especially the advent of cloud computing era, instance-intensive workflow applications will play an increasingly important role in people's daily life. Most of the existing scheduling algorithms are designed just for a single complex workflow instance. This paper takes cloud workflow as a research background, completely generalizes and describes the...
The application based on P2P technology is one of the most important application of the Internet, but it is often affected by the node failure or abnormal nodes exit. In P2P network, node failure can cause data loss and invalid index, then reduce QoS (Quality of Service) of P2P network, lead to reputation system crashes and so on. Therefore the P2P node failure handling and recovery method can effectively...
The applications and developments of approach on planning and scheduling for steel plants based on simulation based optimization is reviewed and summarized. Aiming at the complexity of planning and scheduling for steel plants, problems which need further research in this field and possible development direction are indicated.
Switched interval system is a kind of special switched system whose parameter matrix changes in a limited and known range. Because switched property and interval matrix exist simultaneously, the structure of switched interval system is more complicated than common switched system. The fault detection problem is studied in this paper. The method of common lyapunov function is used under arbitrary switching...
Outlier detection is an important procedure in industrial dataset preprocess to guarantee the industrial process operating normally. This paper proposed a new local density definition in the basis of the minimum hyper sphere for outlier mining algorithm. First, the novel local k-density definition of an object is proposed by using the minimum enclosing hyper sphere algorithm. After this, the new k-density...
In this paper, a four-dimension genetic regulatory network model with two time delays is considered. Firstly, the existence of Hopf bifurcation is considered. Then, by using the normal form method and center manifold theory, the explicit formulas are derived to determine the direction of the Hopf bifurcation and the stability of the bifurcating periodic solutions. Finally, one numerical example is...
Computer game, a new field of artificial intelligence, as the name suggests, is to make the computer learn to think and play chess games like human beings. As one of the important research field of the artificial intelligence, computer game, which is considered as the touchstone of the artificial intelligence, has brought many important methods and theories to the field. Connect6, is a newly introduced...
The increasing demands on the indoor location service inspire the wide attentions to investigate the indoor position algorithms. Access point (AP) selection is critical important for increasing the estimation accuracy of the indoor location. In this paper, the key features in influencing the accuracy of indoor location systems are investigated. Base on the analysis results, we present an AP selection...
Induction machines are critical components in several industrial processes and are frequently integrated in commercially available equipments. The reliability of an induction motor is of great Importance in industrial as well as commercial, aerospace and military applications. in This paper two kinds of induction motor faults, stator short circuit and broken rotor bar fault, are investigated. The...
In this paper, a fault diagnosis method based on support vector machine (SVM) is proposed for gas turbine bearing. Firstly, through analysis and processing of vibration signals, the singular value decomposition related EEMD technique is applied to extract feature vectors of the signals. The results are used as the input of SVM classifier model. Then, by using the SVM network intelligence, the turbine...
This paper presents a robust adaptive fault estimation design method to solve the problem of actuator fault estimation for CCBII Braking System with disturbances and model uncertainties. The proposed robust adaptive fault estimator which is based on an adaptive observer can improve the speed of fault estimation. By transforming the system model into a special coordinate basis (SCB) form, we can structure...
In this paper, the fault detection and isolation problems (FDI) of heavy-haul trains equipped with electronically controlled pneumatic (ECP) brake system are studied. A longitudinal dynamical model and the fault modes of trains are considered. A fault detection estimator bases on the nonlinear observer is designed to generate residual for detecting fault. After the fault is detected, a group of fault...
Recently, complex system has been considered by complex networks. The fractal and self-similarity properties are revealed in many real complex networks. The visibility graph which can convert a time series into a graph. In this paper, music notation is considered as a time series. And then, the fractal and self-similarity properties of music are revealed using box-covering algorithm of complex networks...
A hybrid isolated microgrid is proposed, including PV power, diesel generator system, load and other subsystems.. Based the equivalent circuit and output characteristics of photovoltaic cells, PV model has been established and maximum power point tracking(MPPT) has been implemented to make full use of solar energy. Diesel model has been established, base on it PID load frequency compensation control...
In recent years, the research on control strategy of three-phase grid-connected inverter has attracted significant attention. Proportion integration (PI) control method is widely utilized to control the grid-connected inverter. However, coordinate transformation is an essential and complex step during the design process of the conventional PI controller. It is difficult to implement in practice due...
The grid-connected photovoltaic (PV) power generation is expected to be more widespread and paid more attention. In order to suppress the high-frequency harmonic current of PV grid-connected inverters, LCL filter is utilized to lower the current total harmonic distortion rate. On the basis of LCL filter, double-loop current control scheme with the quasi proportional-resonant method is designed. The...
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