Applied Mechanics and Materials Vols. 727-728

Abstract: Virtual test system based on software as the core of intelligent system based on computer technology. In LabNIEW environment are introduced, on the auto electric power steering, car trouble related performance was tested. Car trouble vary widely, the characteristics of the dynamic and uncertainty, in view of the present automobile fault detection of real-time detection of the existence of difference, the data is not convenient to undertake unity management problems, this paper used the GPS, GPRS and CAN bus technologies, design a set of automatic control system. With the development of era, the existing Petri net reasoning algorithm cannot have satisfied nowadays car diagnostic technology, aiming at this situation, this paper proposes a modified algorithm, with fuzzy reasoning algorithm of Petri net optimization, finally, the fault diagnosis. According to diagnosis, combining wavelet analysis and the principle of artificial immune system, put forward a kind of based on wavelet transform and the fault diagnosis system of the immune system. According to the characteristics of the wavelet analysis, it is used to analyze the unstable signal, signal feature vector as raw data, using the improved negative selection algorithm for himself - he analysis the original data.

Abstract: This design elaborates thedevelopment process of the custom IP core AD9280 controller based on FPGA. Thedesign uses FPGA as the core of the microcontroller, realizes the function ofAD controller by adopting the hardware description language,Verilog HDL and encapsulates it to the custom IP core in the SOPCBuilder. In the NIOS II, the application program interface (API) function ofthe AD controller software is used to access and control the hardware, thesoftware is written by using C language. The experimental results show thatthis custom IP core is feasible and flexible, fully reflects the advantages ofSOPC technology.

Abstract: Thehigh-frequency angular micro-vibration on satellite platform results in theoptical axis pointing decreasing accuracy. The Kalman filtering based on attitudeinformation fusion method is presented to solve this case and improve the pointing accuracy of attitude determination. Thesimulation results indicate that the estimated accuracy of Kalman filteringattitude information fusion method is better than the result only fromconventional low frequency sensor. Accordingly, the attitude information fusionmethod is verified and accuracy.

Abstract: Due to lack of generalanalysis method in video digital steganalysis research area, a blind detection method which is based onfeature fusion aimed at the video steganography is proposed in this paper.Compared with special steganalysis method, the method has better detection rate,lower false alarm rate, and more extensive applicability.

Abstract: In order to improve the accuracy of diagnosis pumping, and accelerate the speed of diagnosis, a fault diagnosis model based on improved extreme learning machine (RWELM) was proposed. Firstly, it extracted the energy characteristic eigenvector of dynamometer cards of an oilfield in northern Shanxi by using wavelet packet decomposition method. Then through simulation of fault diagnosis, and compare with the extreme learning machine (ELM), RBF neural networks and support vector machine (SVM). The experimental results show that the accuracy and the speed of fault diagnosis based on the RWELM are better than the ELM, RBF neural network and SVM.

Abstract: Based on fuzzy rule sets match method which is a series of fuzzy neural networks, a system framework used for the fault diagnosis is proposed. This fault diagnosis system consists of five parts, including the extraction of fuzzy rules, fuzzy reference rule sets, the fuzzy rule scheduled to detect, the fuzzy match module and the diagnosis logic module. The extraction of fuzzy rules involves two steps: step one adaptively divides the whole space of the trained data into the subspaces in the form of hypersphere, which is expected efficiently to work out the recognition questions in the high dimension space; step two generates a fuzzy rule in each sample subspace and calculates the membership degree of each fuzzy rule. Many fuzzy reference rule sets are produced by the extraction module of fuzzy rules for the offline learning, and a fuzzy rule set to be detected is online formed while the monitoring process is happening. Beliefs estimated from the fuzzy match process of fuzzy rule sets, which indicate the existence of the working classes in the plant, the diagnosis logic module can export fault detection time, fault isolation time, fault type and fault degree. The simulation researches of the fault diagnosis in space propulsion system demonstrate the superior qualities of the fault diagnosis method on the basis of the fuzzy match of the fuzzy rule sets.

Abstract: A fuzzy directions neural network used for fault detection and isolation (FDI) of a liquid rocket engine (LRE) is presented in this paper. Neural network utilizes fuzzy sets as engine fault classes. Each fuzzy set is an aggregate of fuzzy direction bodies. A fuzzy direction body is described by a direction vector, an included angle and two radii. FDI simulation of the turbo-pump fed liquid rocket engine demonstrates the strong qualities of the fuzzy direction neural network.

Abstract: In this thesis a remote intelligent fault diagnosis system based on wireless network is put forward. A method of data-transmission based on wireless network is analyzed and a scheme for intelligent fault diagnosis on the basis of Bayesian network is laid out.This thesis also researches on how to build a fault diagnosis model taking advantage of Bayesian network and how to improve the system's resolving ability and reasoning quality in the process of intelligent fault diagnosis.

Abstract: This article introduces the significance of studying the Micro-grid, the definition, the characteristics ,the basic structure,the architecture and working principle of Micro-grid. Discuss the Micro-grid constitutes, including loads, distributed generation,etc. At last, it points out the disadvantages and the directions of Micro-grid, we should come to a unified definition of Micro-grid and a unified protection program and configuration,in order to get ready for the early Micro-grid research.

Abstract: This paper introduces how to use the testing circuit board of measuring accuracy ofthe sensor, testing circuit board is made by the SCA100T - D01 biaxialanglesensor, ATmega8 MCU, ADS8344AD converter, MAX232 and other related components.Through the three axis turntable to rotate a precise angle, which makes thesensor in the testing circuit board has the output value, the output value indata processing, to find out the best coefficient, so as to achieve therequirements of high precision.