Applied Mechanics and Materials
Vols. 365-366
Vols. 365-366
Applied Mechanics and Materials
Vol. 364
Vol. 364
Applied Mechanics and Materials
Vols. 361-363
Vols. 361-363
Applied Mechanics and Materials
Vols. 357-360
Vols. 357-360
Applied Mechanics and Materials
Vols. 353-356
Vols. 353-356
Applied Mechanics and Materials
Vols. 351-352
Vols. 351-352
Applied Mechanics and Materials
Vols. 347-350
Vols. 347-350
Applied Mechanics and Materials
Vol. 346
Vol. 346
Applied Mechanics and Materials
Vol. 345
Vol. 345
Applied Mechanics and Materials
Vol. 344
Vol. 344
Applied Mechanics and Materials
Vol. 343
Vol. 343
Applied Mechanics and Materials
Vols. 341-342
Vols. 341-342
Applied Mechanics and Materials
Vol. 340
Vol. 340
Applied Mechanics and Materials Vols. 347-350
Paper Title Page
Abstract: This paper describes the design of a new prototype of a micro-robot for gastrointestine, which will avoid disadvantages of traditional endoscopes. After analyzing motion pattern of the robot, we decide to use two clamping mechanisms and a linear locomotion mechanism by simulating the squirm pattern of inchworm. Moreover, we make sure the mechanisms are operating effective and stable by using two-screw for transmission. After assembly process, the size of the robot is φ15.24mm×82.87mm, it can extend 9.06mm radically, axial pace is 13.8mm and therefore the theoretical speed is 0.86mm/s. Experimental tests show that the robot are capable of making movement under different environments effectively.
376
Abstract: For the muzzle velocity measurement of high firing rate artillery, a novel time-frequency analysis method based on short-time Fourier transform (STFT) is proposed and the design principles of critical parameters are provided in this article. Measured data verifies the feasibility of this method, which provides useful references for engineering application and lays foundation for further noise reduction and muzzle velocity extrapolation.
383
Abstract: Aiming at many fault characteristic parameters of modern radar and the problem that general diagnosis method is difficult to locate fault accurately. The dynamic mathematical model of radar equipment fault diagnosis system is built. The uncertainty theoretic analysis of fault diagnosis result is studied from two aspects, data processing channel and fault model. This paper combines sensor data validation with detection fusion technology, and then puts forward the fault diagnosis technology based on sensor data validation and detection fusion. The structure of the diagnostic system model is given. Case analysis proves that the proposed model and method has a significant role in improving detection performance, reducing the Bayes risk and improve fault diagnosis rate.
387
Abstract: With the development of high voltage technology ,the inverter power is becoming higher and higher . The traditional two-level inverter capacity has been difficult to achieve high power requirements due to the limitation of the power electronic devices. Therefore, different new kinds of multilevel inverter topologies with high-performance are proposed by the scientist all over the world. This paper introduces the topology structure, characteristics and working principle of threelevel inverter, and makes a detailed description of space vector pulse width modulation principle. Finally, the simulation waveforms are presented with Matlab/Simulink, the results verifies the validity of the theoretical analysis.
392
Abstract: In accordance with the characteristic that UAV equipment is hard to realize the real fault diagnosis training, a design scheme of fault diagnosis training based on virtual prototyping is presented. The training-oriented virtual prototyping model is decomposed into two parts, appearance model and mechanism model. The design thinking and training flow of fault diagnosis training are given, and two different kinds of training modes are used to make the training much more targeted. In the end, Virtools and third-party modeling software are adopted to build the virtual environment, the verification of UAV ground control station achieves the purpose of enhancing the performance capability of maintenance man.
396
Abstract: Unmodeled dynamics, internal disturbance and external disturbance in the quadrotor UAV kinetic model, affect the flight control and increase control complexity. In order to improve the dynamic performance and robustness of the control system, we adopt model reference ADRC based on PD gain adaptive regulation. Model reference ADRC based on PD gain adaptive regulation is able to detect changes of the controlled object, and adjust the controller parameters based on changes to achieve the stability of the control. Simulation results show that the method has a better tracking performance, better stability of the control strategy. The system can be used in engineering development and application .
401
Abstract: Storage efficiency of the automated storage and retrieval system (AS/RS) is well known by its high storage efficiency, the advantages of automation and high level of information, its operating efficiency has also become the focus of attention. This paper tries to take an automated storage and retrieval system of one manufacturing enterprises for example, analyzing the overall process and detailed steps. Then, Flexsim is used to identify its bottlenecks by providing system. At last, measures are used to optimize the operating efficiency.
406
Abstract: The step-frequency wave is widely applied in high-resolution radars, while serious range-velocity coupling exists in the process. During measuring velocity, present methods’ shortages become more and more sharp. This paper focus on a kind system of measuring velocity different from those, which is based on step-frequency waves and pulse with constant carrier frequency. The advantages of single systems have been extracted in this system, so that the high precision of measuring velocity is get while the range of measuring velocity guaranteed, and well noise immunity is tested by simulations, which offers profitable reference.
411
Abstract: This paper proposed a robot reinforcement learning method based on learning classifier system. A learning Classifier System is a rule-based machine learning system that combines reinforcement learning and genetic algorithms. The reinforcement learning component is responsible for adjusting the strength of rules in the system according to some reward obtained from the environment. The genetic algorithm acts as an innovation discovery component which is responsible for discovering new better learning rules. The advantages of this approach are its rule-based representation, which can be easily reduce learning space, online learning ability, robustness .
416
Abstract: This paper introduces a smooth and adjustable periodic interpolatory wavelet which is sensitive to the direction of the signal.It is produced by orthogonalization ,in this way it constitutes directional orthogonal wavelet basis in the two-dimensional space ; the position of the sound signal is detected by fast transform of this wavelet and the result is presented.
421