A new method and apparatus is proposed to improve the precision and reduce the cost of photoelectric encoder measurements. The method is based on highest resolution measurement and completely statistical analysis. The...
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A new method and apparatus is proposed to improve the precision and reduce the cost of photoelectric encoder measurements. The method is based on highest resolution measurement and completely statistical analysis. The system includes a stepping motor, a high precision worm reduction gear, a high speed single chip microcomputer, a low cost incremental optical electric encoder and some multi interfaces of communication protocols. The single chip microcomputer as the lower system can test and collect the optical electric encoder. The PC computer as host-computer can deal with the test data. The precision of the system can reach 18 binary digits. Results of application in practice showed that the method and apparatus is efficient and effective, the cost of the apparatus is less than the some kind of system.
An estimation algorithm for frequency, range, and two-dimensional (2-D) direction-of-arrival (DOA) of each near-field narrowband source is presented. Firstly, we propose a new cross-array;secondly, we compute some cum...
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An estimation algorithm for frequency, range, and two-dimensional (2-D) direction-of-arrival (DOA) of each near-field narrowband source is presented. Firstly, we propose a new cross-array;secondly, we compute some cumulants using the properly chosen sensor outputs, and form five Toeplitz matrices by re-using these cumulants, and construct the parallel factor (PARAFAC) analysis model in the cumulant domain;thirdly, we analyze the uniqueness of the model's low-rank decomposition, and estimate the source parameters via the decomposition. In comparison with the conventional methods, the proposed method efficiently uses the array aperture, and doesn't require pairing parameters. Finally, the simulation results are presented to validate the performance of the proposed method.
Focuses on a method of parameter identification from indirect data, generated by indirect model. The indirect data are preprocessed in order to approximate the direct data generated by original model. Parameters of th...
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Focuses on a method of parameter identification from indirect data, generated by indirect model. The indirect data are preprocessed in order to approximate the direct data generated by original model. Parameters of the original model are identified from the approximate direct data. This method is employed to establish ballistic mathematical model of projectile based on firing table data. A ballistic integrated coefficient is proposed and identified by parameter identification method in order to establish ballistic mathematical model. The data used in identification are approximated by firing table data. Computation showed that the method was more precise than the simple table lookup method. Moreover, the method is a low-cost way to identify parameters and establish ballistic models.
A Backlash neural network model is proposed for the systems with hysteresis nonlinearity. In order to approximate the hysteresis nonlinearity, Backlash-type operators are used as one layer of the neural network. Then,...
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A Backlash neural network model is proposed for the systems with hysteresis nonlinearity. In order to approximate the hysteresis nonlinearity, Backlash-type operators are used as one layer of the neural network. Then, the number of Backlash operators and neurons of hidden layer are gotten through simulation. Compared with the normal BP network, the results show the improvement validity of the proposed Backlash neural network model for describing the hysteresis nonlinearity.
A new conversion method for fault tree (FT) to binary decision diagram (BDD) was introduced. Firstly, FT was reduced and the reduction rule was proposed, share-node conception was introduced on the basis of FT decompo...
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A new conversion method for fault tree (FT) to binary decision diagram (BDD) was introduced. Firstly, FT was reduced and the reduction rule was proposed, share-node conception was introduced on the basis of FT decomposition, then the rules of connection of component BDD was proposed. Furthermore the route-based BDD reduction rule was proved, with which reduction can be done at the same time with BDD composition, and the route sequence and cut sets can be obtained, while computation and storage is greatly reduced during the process. Finally, the procedure of the transformation is presented. The affectivity effectiveness and practicability is thereby proved.
One problem of marriage in honey bees optimization (MBO) is that its complex computation process will limit its applications. The paper proposed an improved marriage honey bees optimization (IMBO). By randomly initial...
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One problem of marriage in honey bees optimization (MBO) is that its complex computation process will limit its applications. The paper proposed an improved marriage honey bees optimization (IMBO). By randomly initializing drones and restricting the condition of iteration, the calculation process becomes easier. The global convergence characteristic of IMBO is also proved based on the Markov chain theory. With different number of nodes, traveling salesman problem(TSP) is used to compare the IMBO with MBO and genetic algorithm(GA). Simulation results show that IMBO has better convergence performance.
Data modeling is the foundation of three-dimensional visualization technology. First the paper proposed the 3D integrated data model of stratum, laneway and drill on the basic of TIN and ARTP, and designed the relevan...
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Data modeling is the foundation of three-dimensional visualization technology. First the paper proposed the 3D integrated data model of stratum, laneway and drill on the basic of TIN and ARTP, and designed the relevant conceptual and logical model from the view of data model, and described the data structure of geometric elements of the model by adopting the object-oriented modeling idea. And then studied the key modeling technology of stratum, laneway and drill, introduced the ARTP modeling process of stratum, laneway and drill and studied the 3D geometric modeling process of different section laneways. At last, the paper realized the three-dimensional visualization system professionally coalmine-oriented, using SQL Server as background database, Visual C＋＋6.0 and OpenGL as foreground development tools.
Load modeling is very important for power system dynamic analysis and control. The composite load model widely applied recently in the power system operation centre consists of the static load and the equivalent motor...
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To solve the problem of the premature convergence and the slow convergence of Genetic Algorithms, an adaptive Genetic Algorithms based on real coded (RAGA) was proposed to improve the coding modes, genetic operators, ...
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To solve the problem of the premature convergence and the slow convergence of Genetic Algorithms, an adaptive Genetic Algorithms based on real coded (RAGA) was proposed to improve the coding modes, genetic operators, etc. Optimization simulation results based on typical complex functions show that the optimal convergence rate and global hitting probability of the proposed algorithm are much better than those of simple Genetic algorithms.
Load modeling is very important to power system operation and control. Measurement-based load modeling has been widely practiced in recent years. Mathematically, measurement-based load modeling problem are closely rel...
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