Applied Mechanics and Materials Vols. 380-384

Abstract: t is a valid anti-interference method that blindly separates the contaminated radiant acoustic source object from interferences, but the separated radiant acoustic source object with arrange and scale ambiguity makes the likelihood ratio detection impossible. This paper solves the ambiguity problems by utilizing the correlation and energy consistency of the same source in the same overlapped frame data; Known delay distance, data sum length and signal to noise ratio (SNR), the paper analyzes algorithms performance and draws the receiver operating characteristic (ROC) curve in different distance, which offers an accord to design detector parameters in different false alarm probability and detection probability.

Abstract: The real-time acquisition of lifting capacity is a common problem in the course of tower crane work. Its an accurate and reliable method to use shaft pin type load cell to convert weight to electrical signal which is detected and processed in practical. Using STC89C52 as the core processor, the hardware consists of signal section modulating circuit, acquisition circuit and communication circuit; C language and LabVIEW graphical language are used to develop the system, including A/D conversion, data transmission, reduction and linear compensation, section control and data storage. As shown in the experimental results, the system improves the detection accuracy of the lifting capacity. It has friendly man-machine interface and is easy to analyse and process subsequently.

Abstract: Consider out of sequence measurement (oosm) estimation problem in central tracking system of multi-sensor distributed data fusion, which is due to the communication delay. Apply the particle filter algorithm to overcome this problem and propose a update algorithm for the case of an arbitrary (multi-step) lag in case of nonlinear. Then we compare this algorithm with the known EKF oosm algorithm. Results demonstrate the feasibility and effectiveness of this algorithm.

Abstract: in order to improve the service level logistics, a design of logistics system based on GPS/GPRS/RFID is supported, which is designed and implemented by using ARM embedded platform. This system mainly includes the RFID module, GPS module, GPRS module, MCU module, etc. By receiving GPS data and RFID data as well as using ARM platform to analyze and process, the system sends the information of analysis through GPRS module to the logistics center so as to monitor and manage the goods. The system is characterized by real-time, high reliability, low power-consumption, small volume, etc, which meet the needs of modern logistics transport monitoring and managements.

Abstract: In order to solve the traditional testing be restricted by environmental, Virtual Instrument and Network Techniques is used in this paper. By introducing beam deflection curve, the acting forces of the specimens are built based on the curve equations. Software of the testing system is designed using LabVIEW a software design tool for Virtual Instrument. This scheme makes up of testing remote control and testing data management. Based this scheme, the specimens force was estimated to explain the experimental results. The curve lines and a number of important parameters are obtained.

Abstract: For hydrological monitoring, the missing and distorted sensor data may directly affect the reliability of the acquired information. To address such problems, an information fusion algorithm for sensor data correction based on the spatio-temporal correlation of hydrological monitoring information is proposed in this paper. A monitoring station unit whose core device is FPGA (Field Programmable Gate Array) is employed as hardware platform and fusion of the data collected by the monitoring station unit is performed using an improved BP (Back Propagation) neural network. This work uses the horizontal and vertical correlation of flow velocity distribution to correct flow velocity. The simulation experimental results show that this algorithm can be used for the correction of both random and gross error of sensor data.

Abstract: In many engineering applications for vibration detection, some applications cant be field measurements, or cant be long-term monitoring because of the influence of geography, the weather or other special factor. This paper put forward a kind of design project based on the wireless technology which can monitor vibration long range. This system can carry a detective of a target for a long time far away based on an actual application test. At the same time, it can accurately respond to the Vibration of the monitored object and availably solve the problem that traditional vibration examination system is influenced by environment factors. Furthermore, it expands the applied realm of vibration monitoring system.

Abstract: This paper introduces the design of the all-round solar irradiance measurement system which take the DSP processor as the core. The data which is collected from the system is used to analyze the photovoltaic power generation efficiency in the building integrated photovoltaic (BIPV). BIPV has become an important development direction of the current solar PV technology. The core is the solar PV modules which combined with the building exterior. The BIPV require the installation of PV modules must comply with the appearance of the building, which led to the solar panels cannot be installed in the azimuth and elevation where the PV modules can generate the maximum power in theory. So it is a good practical significance to assess the power generation efficiency of solar photovoltaic modules in the building.

Abstract: The rolling bearing is one of the most important and widely used parts in the rotating machinery. It is necessary to establish a reliable condition monitoring program which can avoid serious fault in the runtime and diagnose failure timely and accurately when it happens. This paper puts forward to a fault diagnosis method of rolling bearing based on the PSO-SVM of the mixed-feature. Firstly, we extract features in time domain, frequency domain, and order quenfrency domain. Secondly, select both Support Vector Machine (SVM) parameters by Particle Swarm Optimization (PSO) algorithm and kernel function of SVM classification model. Finally, classification model of SVM is designed by using the extracted salient features, kernel function and optimal parameter of PSO. The result verifies the effectiveness of the proposed method.

Abstract: Aiming to problems of welding defect classification in the ultrasonic detection, according to the characteristics of welding defect, a classification method based on PCA and KNN is proposed in order to solve the problem of ultrasonic testing signal feature extraction and defect recognition. For the impact of the redundant attributes of feature extraction on the classification accuracy, in this paper, an ultrasonic flaw feature extraction algorithm based on PCA is proposed. Ultrasonic flaw intelligent classification is always a difficult problem in NDT. KNN algorithm is proposed to classify the different defects. Compared with BP algorithm, experiment results show that the model based on PCA and KNN can get stable classification results, high accuracy, and can effectively improve the classification efficiency.