Applied Mechanics and Materials Vols. 263-266

Abstract: The universal predictive maintenance(PdM) system framework integrated several common and important technologies is established in the paper. It is very important to choose and design the relative technologies for the PdM system in the real application at different factories. Here the reasons and method of the system establishment are explained. The functions and structures of the system are analyzed. The establishment of the database of the system is proposed. The PdM system can be realized flexibly based on the real conditions in the real industry application.

Abstract: The automatic recognition of range-spread target is based on its range profile. When obtaining its range profile by using synthetic wideband radar signal, the different-range scatters would be overlapped because of the range-doppler coupling effect. The overlapping effect affects the ability of the automatic recognition algorithm. According to this, based on the Linearly Modulated Stepped Frequency (LMSF) radar signal, coherent processing of range profiles to obtain zonal image of range-spread target is proposed in this paper, which avoids the overlapping effect. The theoretical model of the zonal image of range-spread target is presented, the signal processing flow is derived, and the simulation result of zonal image is also given in this paper.

Abstract: This paper describes a virtual reality (VR) simulator for the manipulation of carbon multi-wall nanotubes with atomic force microscope (AFM). Major challenges in interfacing a human operator with tasks of manipulating nanotubes via a haptic VR interface are outlined. After a review of our previous efforts, we present the current state of our VR simulator for multi-wall nanotube manipulation. The collision detection, interaction force modeling, deformation simulation and haptic rendering of nanotubes are then discussed. Results of virtual manipulation of carbon nanotubes are presented within an immersive VR set-up.

Abstract: Soft sensors are algorithms capable of estimate the process output that can not be measured directly in real time. A data-driven soft sensor is an inferential model developed from process observations. In this paper, the soft sensor modeling process based on the weighted fuzzy neural network was discussed. The proposed algorithm based on genetic algorithm and particle swarm optimization could obtain a near-optimal structure of fuzzy neural network, and the numerical experiments show that the soft sensor model has good performance.

Abstract: Multi-Satellite TT&C Scheduling Problem（MuSTSP） is to the keypoint of help doing high level design for space TT&C network and the conflict is the most important thing which result in MuSTSP. In this paper, the conflict is aboratively analyzed. Some new conceptions are proposed. Then a new heuristic scheduling method based on conflict-resolvation is introduced. A simple example is given to elaborate the feasibility of this method.

Abstract: This article describes a transmission line insulator leakage current monitoring device, the device is based on the MSP430 ultra low power mixed signal controller design, both the transmission line insulator leakage current rms leakage current pulse, the leakage current pulse frequency and ambient humidity characteristic quantities to be monitored, with low power consumption, high reliability.

Abstract: An iteration method was advanced to solve the problem of ship’s static electric field extrapolation to shallow depth. Based on the vertical partial derivative of each component of static electric field and using derivation formula, the static field values of the points on the target depth that had same coordinates as the measured points were calculated iteratively. The simulation result shows that this method can be easily carried out and has a high calculation precise.

Abstract: Many data comes from a process with variables having non-normal distributions. The commonly used Shewhart variable control charts which depend heavily on the normality assumption should not be applied here. Further, measurement error of an instrument or gauge is an important factor in industry that influences the outcome of a process. Incapability of the instrument or gauge would cause the observation measure deviates from the true value and consequently lead to a false discrimination between good and bad service quality and manufacturing parts. In this study, we propose a new EWMA control chart to monitor the exponentially distributed service time between consecutive events with the measurement error instead of monitoring the number of events in a given time interval. We showed that, in the case of the measurement error following a normal distribution, the performance of the EWMA-M chart is significantly affected. We suggest letting for keeping the chart with the same detection ability; otherwise, the chart’s detection ability would be much poor than the charts with no measurement errors

Abstract: In the ocean, due to the non-ideal channel environment, it is difficult to locate the position of the vessel in the sea quickly and exactly. In order to improve the location accuracy of accident vessel in the ocean, one method is to analyze the main cause of the different kinds of the measurement errors to find their solutions to decrease the errors. The subject that Kalman filtering technology is applied in wireless location system is researched in this paper, which can reduce the measurement error and greatly improve the location accuracy.

Abstract: Detection and estimation of structural change at unknown dates in panel model was investigated. The structural change can be consistently estimated and asymptotic distribution was derived. Monte Carlo simulations were presented to access the theoretical result numerically.