Applied Mechanics and Materials Vols. 423-426

Abstract: In deep wells and ultra-deep wells the complex geological conditions often result in serious casing wear. In order to obtain the wear efficiency which is used to compute the wear depth of downhole casing, the ring block drillpipe casing wear tester is developed. The measure and control system which include the measure circuits of contact forces between casing and drillpipe samples, the measure circuits of the friction forces are main component of wear tester. It is very important to design the measure and control system of tester. The paper also develops the calibration method of the loads sensors used to measure the contact and friction force. The wear tester can accurately measure the wear efficiency and the friction coefficient needed by casing wear prediction.

Abstract: This paper proposed method is to use a Smart phone in the real - time situation to carry out monitoring and controlling factory zone temperature, humidity, carbon dioxide concentration, the flame sensor. The size of the operation of the machine vibration frequency, butalso through smart phones to monitor and control, these methods are innovative research. Our research proposes the integration of ZigBee and Wi-Fi protocol intelligent monitoring system within the framework of the entire plant. The factory sensor using the ZigBee protocol to deliver the message, and real-time sensing data is sent to our integrated embedded systems. Our paper presents an integrated embedded systems using the open-source Arduino DUE module, which is a 32-bit ARM core. Our study proposed a way that writes the network code to ARM chipset become integrated controller. The intelligent integrated controller will instantly analytical processing by the ZigBee sensor pass to the message. Simultaneously using Web-Based method to show the measurement results. The Web-Based approach will transfer these results to specify the cloud device by way of the TCP / IP protocol. These cloud devices include all smartphone and Tablet PC, our system can support a variety of OS platforms, without any restrictions and compatibility issues, and this is our intelligent monitoringsystem innovation.

Abstract: In this paper, we discuss the optimal allocation problem in a multi-level stress test with progressive hybrid interval censoring and Weibull regression model. We derive the maximum likelihood estimators and their asymptotic variance–covariance matrix through the Fisher information. Four optimality criteria are used to discuss the optimal allocation problem. Finally, an example is provided to illustrate the proposed design.

Abstract: Ultrasonic nondestructive testing is an important detection method in nondestructive testing field. It is widely used in steel manufacturing, machinery manufacturing, electronics manufacturing, aerospace and defense and other fields and departments to ensure production quality and safety. In this paper, the main research work and research results are as follows: analyze the principle of electromagnetic ultrasonic nondestructive testing and characteristic and the hardware design of ultrasonic flaw detector system based on single-chip microcomputer AT89C52. This paper laid a good foundation for more in-depth studies in the research of ultrasonic digital signal processing in future.

Abstract: The paper analyzes the main functions and equipment structure of bulk unloading crane monitoring system. Then we design and develop the monitoring system based on Kingview software, describing the operation processes and monitor screens in detail. The monitoring system we developed is successfully used at Fangcheng Port bulk unloading crane No.14 and No.15, and bring in good operation effectiveness to Fangcheng Port.

Abstract: The multi-degree of freedom laser scanning simulation platform used for simulating most on-line scanning and measuring equipments in manufacturing fields is beneficial to raise the design efficiency and save the design time of dedicated measurement equipment. The measuring model of the system is established by combining the D-H kinematics model with the linear structured light model in the article. The system model parameters are calibrated via various calibration methods. The results obtained have been analyzed by scanning criterion sphere in different angle and position. The experiments show that the system can meet the requirements of ordinary complex workpiece inspection and the measuring precision can achieve approximately 0.1 mm.

Abstract: This paper presents an ultrasonic ranging system based on 52 single chip microcomputer. The hardware circuit of the system includ the microcontroller circuit, display circuit, power supply circuit, etc.. The system measures datas by ultrasonic module, then the The measurement results are processed and calculated, and finally showed the actual distance on the digital tube. The system is reliable, the ranging function whith non-contact can realized by ultrasonic.

Abstract: Ensemble Empirical Mode DecompositionApproximate Entropy (EEMD-ApEn) is proposed in this paper, which is mainly analyzed the transient pulse and transient oscillation. In order to overcome the modal mixing problems by empirical mode decomposition (EMD), ensemble EMD (EEMD) is used to obtain intrinsic mode functions (IMFs). Then effective IMFs with physical meaning are reconstructed. Finally, the approximate entropy of IMFs and original signal are calculated which are used to be the input feature vectors of the SVM classifier. The stimulant results show that EEMD-ApEn has better performance in detection and classification of transient pulse, transient oscillation, their noisy signal and the composite disturbance signals. The novel method has many advantages, such as simple, strong anti-noise, required fewer features and so on. Therefore the EEMD-ApEn is an effective method for power quality detection and feature vectors extraction.

Abstract: In modern industrial processes, effective performance monitoring and quality prediction are the key to ensure plant safety and enhance product quality. The research significance and background of process monitoring and fault diagnosis technologies are described and the current advances in data-based process monitoring methods are summed up in this paper. Then the multivariate statistical process control (MSPC) methods for process with single constraint, especially for single non-Gaussian process or nonlinear process are elaborated. As real industrial process data often show strong non-Gaussian and dynamic behaviors, study on monitoring technologies for dynamic non-Gaussian process is of great importance. Finally, some challenges such as non-Gaussian and dynamic process, fault detection and diagnosis as well as new MSPC methods are indicated.

Abstract: An improvement of coterminous frames differencing is proposed. By using the improved algorithm, the snow point from video image obtained in the snow day can be removed significantly. The snow regions are extracted by the temporal difference of pixels from the five adjacent frames in video images, The absolute value of differential luminance of each frame is then obtained. The luminous intensity of the background and effects by snow can be further computed. Finally, the intensity of the contaminated pixels is replaced by the average value of future and past frames. The results of the experiment show that this algorithm can improve the quality of video images in light snow, heavy snow even heavy snowstorm strongly.