Noise is an important factor in image quality of TGS In according to the Neighborhood Homogeneous Measurement (NHM) was proposed to process the salt-pepper noise of TGS image system which avoided the shortcomings of t...
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Pulsed eddy current (PEC) technique generates responses over a wide range of frequencies, containing more spectral coverage than traditional eddy current *** current pulsed thermography (ECPT), a newly developed non-d...
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Pulsed eddy current (PEC) technique generates responses over a wide range of frequencies, containing more spectral coverage than traditional eddy current *** current pulsed thermography (ECPT), a newly developed non-destructive testing (NDT) technique, has advantages such as rapid inspection of a large area within a short time, high spatial resolution, high sensitivity and stand-off measurement *** paper investigates ECPT for the evaluation of gear fatigue *** paper proposes a statistical method based on single channet blind source separation to extract details ot gear *** discussion of transient thermal distribution and patterns of fatigue contact surfaces as well as the non-contact surfaces have been *** addition, the measurement for gears with different cycles of fatigue tests by ECPTand the comparison results between ECPT with magnetic Barkhausen noise (MBN) have been *** comparison shows the competitive capability of ECPT in fatigue *** open access database of ECPT for gear fatigue evaluation is provided, and freely obtained to further analysis for gear fatigue evaluation.
This paper presents a discrete stochastic model for information traffic flow through wireless networks. Many wireless nodes are powered by batteries. Thus, the number and buffer size of wireless nodes would greatly af...
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This paper presents a discrete stochastic model for information traffic flow through wireless networks. Many wireless nodes are powered by batteries. Thus, the number and buffer size of wireless nodes would greatly affect the performance of the system. The performance analysis is based on the throughput (J)-density (ρ) relationship. It is shown that the system may exist in one of three steady-state regions: low-density (LD), high-density (HD) and maximal-current (MC). In the MC region, the maximal throughput 0.5 is reached. The LD region corresponds to free flow;while the HD region is congested traffic with J=1-ρ. The simulation results suggest that throughput is related to the number of buffer size, but independent of the number of intelligent nodes.
This paper presents a hybrid optimization model for predicting the elemental contents such as Ti, V and Fe in energy dispersive X-ray fluorescence (EDXRF) based on least square support vector machine (LS-SVM) and part...
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This paper presents a hybrid optimization model for predicting the elemental contents such as Ti, V and Fe in energy dispersive X-ray fluorescence (EDXRF) based on least square support vector machine (LS-SVM) and particle swarm optimization (PSO) methods. The model used PSO to optimize LS-SVM parameters. In order to assess the capability and effectiveness of the proposed model, several measurement methods such as SVM model and BP neural network model were compared. The results indicate that the proposed model is feasible for quantitative analysis of elemental contents in nondestructive nuclear measurement applications.
To overcome the shortage of the traditional geological documentation methods, advanced technologies were synthetically applied to the technical research on a new 3D geological documentation system, among which are dig...
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In order to extract the fault feature frequency of weak bearing signals, an Hilbert-Huang transform(HHT) method combining with autocorrelation transform is put forward in this study. After performing autocorrelation d...
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In order to extract the fault feature frequency of weak bearing signals, an Hilbert-Huang transform(HHT) method combining with autocorrelation transform is put forward in this study. After performing autocorrelation denoising, the empirical mode decomposition(EMD) method was used to decompose the signals into a number of intrinsic mode functions(IMFs). Energy ratio of the each IMF's energy to the original signal energy was calculated to select a valid set of IMF by selecting the appropriate threshold. And the marginal spectrum was obtained to detect bearing fault information and identify the fault patterns. This method is suitable for extracting the fault characteristics of the weak fault signals in strong noise.
With aim to master early deformation stages and motion laws of landslide, the raw displacement data of landslide are very important for the landslide researchers and environmental scientists. With the recent advances ...
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With aim to master early deformation stages and motion laws of landslide, the raw displacement data of landslide are very important for the landslide researchers and environmental scientists. With the recent advances of Global Position System (GPS) and computer science, the differential GPS technology now can be used for the remote displacement observation of landslide. Therefore, the paper developed a landslide displacement remote observation system based on differential GPS technology to get the raw displacement data continually. The system is divided into hardware and software functional segments. A real landslide in southwest of China was monitored for several months through observation using this GPS-based system placed around and the observed results are presented in this paper. The practical application shows that this system has such advantages as being highly-precise, nearly real-time, remote, continuous and automatic.
Analog electronic circuits are an integral part of many industrial systems. Failure in such analog circuits during field operation can have severe economic implications. The presence of an expert system that can provi...
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ISBN:
(纸本)9781936263059
Analog electronic circuits are an integral part of many industrial systems. Failure in such analog circuits during field operation can have severe economic implications. The presence of an expert system that can provide advance warnings on circuit failures can minimize the downtime and improve the reliability of electrical systems. Through successive refinement of circuit's response to a sweep signal, features are extracted for fault prognosis. From the extracted features, a fault indicator is developed. An empirical model is developed based on the degradation trend exhibited by the fault indicator. Particle filtering approach is used for model adaptation and remaining useful performance estimation. This framework is completely automated and has the merit of implementation simplicity. The proposed framework is demonstrated on two analog filter circuits.
In order to improve space positioning accuracy of the Agile Wrist consisting of a modified spherical parallel manipulator, which will influence the result of the Collisions experiment in a robotic mechanical testbed d...
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In order to improve space positioning accuracy of the Agile Wrist consisting of a modified spherical parallel manipulator, which will influence the result of the Collisions experiment in a robotic mechanical testbed directly, this paper explores the motion control of Agile Wrist. Based on analysis an input - output (I/O) equation of spherical four-bar linkages for forward-displacement of spherical parallel robots, the inverse kinematics derivation is reported here to find the active-joint variables for each possible position and orientation (pose) of the mobile plate, as well as the singularity exist and defines what may be generalized as the workspace boundary. Meanwhile the kinematics simulation by using simulink S-Function combined with Q8 controller was carried out. The results showed that the Kinematics analysis and Control Design of Agile Wrist were correct. The modified spherical parallel manipulator can meet with the demands of Collisions experiment in the robotic mechanical testbed.
<正>Most models of respiratory rhythmogenesis are built based on H-H principle,but without any substantive *** network is a widely used model to study artificial intelligent *** work is carried out to establish a ne...
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<正>Most models of respiratory rhythmogenesis are built based on H-H principle,but without any substantive *** network is a widely used model to study artificial intelligent *** work is carried out to establish a new model of generation of respiratory rhythm with combination of the 2 models. Five basic respiratory neurons models were built according to H-H *** data from them were used as input vectors of BP *** discharge was considered as output *** weights array was obtained by using *** platform was designed with the weights *** chose 5-X-1 BP structure by using reported data about respiratory network models and got the best number(8) of hidden layer *** event of a respiratory cycle was divided successively into 100 sets of data to test the Train,Validation and Test on ratio of 70:15:15,*** R of Train,Validation and Test is bigger than *** can be concluded that H-H style and BP network can be combined as a new method to build a highly feasible respiratory neural network model.
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