Advanced Materials Research Vols. 986-987

Abstract: Technical parameters that affect the performance of the engine include: rotor speed of the engine under high and low pressure, oil pressure, fuel pressure and exhaust temperature, etc.This article describes the features, function, structure and working principles of the testing parameter detection equipment based on the aeroengine of PC104,and we design detection circuit for the main test items.

Abstract: This paper presents a set of schemes of centralized indoor electrical safety intelligent monitoring systems which are more intelligent, real-time and reliable based on the internet technology of things. Integrated use of wireless sensor networks, embedded microprocessor technology is realized. Hall sensor is used to collect the real-time current on the power grid. As well, This system utilizes the method of the subspace pattern recognition to identify electrical appliances and eliminate some safety risks of the domestic distribution network through the fault arc detection.

Abstract: Impedance of power line channel is the most important factor for power line communication. All kinds of household appliances randomly connect or disconnect from the network, which give rise to impedance variation on power line channel. The mismatch of impedance would reduce the performance of the signal transmission. The power network is mixed with lines and loads. In order to investigate the main factors that affect power network impedance, this paper proposed a method to measure the impedance of active household appliances. Some household appliances are measured with this method, and the result shows that this method can measure the impedance effictively, which helps the study on the impedance charicteristics.

Abstract: In current large-scale electronic circuit devices, failure data calibration capacity is not strong and it is difficult to be precise classification and intelligent judgment. It lacks of the necessary mechanisms to eliminate the error message, bringing troubles to fault detection. In order to avoid the above defect, this paper presents a fault detection method for large-scale electronic circuit based on fuzzy clustering algorithm. Firstly, the use of means clustering method, the fault information is made initial classification. Then, using the second fuzzy clustering method make fault information filtering in different categories, in order to achieve the fault data confirmation. Experimental results show that the proposed algorithm can effectively improve the accuracy of fault detection of large-scale electronic circuit.

Abstract: Short circuit currents or forces during transport can cause mechanical displacements of transformer windings. The transfer function method is presented as a tool to detect these displacements. In order to discover the hidden trouble of the transformer, in this paper, an on-line monitoring system based on FRA method is developed, the hardware performs the main functions: signal injection, filtering, amplifying, signal conditioning, and storing the result in computer. The software includes four modules: user login, data acquisition, data analysis, data query. Finally, the monitoring system is validated by a corresponding experimental study.

Abstract: When a fault of power system occurs in grid-connected point, a serious impact is added to electronic inverter in photovoltaic micro-network internal including current, voltage and phase, the appropriate control strategies for completing fault detection of large-scale intelligent electronic inverter, is one of the currently hotspot difficulties. An engine fault diagnosis method based on PSO-SVM is proposed. Particle swarm method is used to search engine fault signals in designated space, so as to obtain optimal particle and provide the basis for an engine fault diagnosis. Support vector machine (SVM) method is applied to classify engine failure signal to complete the engine fault diagnosis. Experimental results show that the proposed algorithm for the engine fault diagnosis, can greatly improve the accuracy of diagnosis, so as to meet the needs of actual production, life, and achieve satisfactory results.

Abstract: Due to the problem that test signals is difficult to describe and analyze in the microprocessor (CPU) and digital signal processor (DSP) circuit, this paper come up with a matrix base method to describe program signal and instruction signal, thus in theory solve the above problem. In the proposed method, simple hardware circuits can be used to produce different test signal needed in the test and diagnose of CPU circuit.

Abstract: The traditional optical fiber network fault detection method has not considered the relationship between the fault characteristics and KNN parameters, it is optimized separately, and the accuracy of optical fiber network fault diagnosis is low. The synchronous optimization fault detection model of fault characteristics detection model parameters is proposed. The candidate feature subsets and K adjacent parameters are used to construct the optical fiber network fault detection model. The improved genetic algorithm is used to solve the mathematical model, and the better accurate rate of fault diagnosis for optical fiber network is obtained. The simulation is taken for testing the performance of model, compared to the traditional model, the new model has better accurate detection rate, and the detection accuracy is improved greatly, the efficiency of optical fiber network fault detection is improved, it has great application value in practice.

Abstract: According to the requirement of the CMOS integrated temperature sensor on the device, we analyzed the sub-threshold model of MOS device and the bipolar device under MOS technology. We found the latter is more suitable for a components of CMOS integrated temperature sensor devices. Therefore, we analyzed the influence of the substrate PNP tube’s piezoelectric effect on temperature sensor and compared different types of resistance that lays a theoretical basis for the design of CMOS integrated temperature sensor.

Abstract: The power equipment temperature monitoring within substation is one of the indicators to raise the capacity of power equipment management. From the perspective of wireless monitoring, this paper analyzed the main principles of wireless temperature monitoring of current power equipment. And with technology, according to several defects, this paper put forward a way of data forwarding, management plan by combining wireless protocol ZigBee and cable transmission, analyzed temperature monitoring system from configuration of temperature sensor, wireless temperature node and center nodes, and software design process, and finally analyzed some of the key technologies implemented by temperature monitoring system, which has a certain guiding significance.