There are rich data in the manufacturing information systems, but they are not utilized in an effective way. The establishement of assembly data mining platform is to take advantage of the data to improve assembly pro...
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There are rich data in the manufacturing information systems, but they are not utilized in an effective way. The establishement of assembly data mining platform is to take advantage of the data to improve assembly process. Assembly factors and assembly data mining templates are the core tables in the assembly database. The methods of dealing with data vacancies and noise points are pre-set in the data mining templates. Python is used as the data mining engine by script customization and algorithm library encapsulation. Firstly, Python algorithm scripts are customized when programing the platform. Then the platform generates the execution script according to the user operation. Finally, the main program of Python executes the generated script and returns the results. Also, Mlpy is applied to make corresponding algorithm processing module. The functions are pre-compiled so that the assembly technicians without knowledge of data mining can utilize the assembly data to predict the assembly performance and analy se the assembly process.
Brushless DC motor in 180° conduction operation may occur the phenomenon the same leg short, in order to solve this problem, the traditional non-isolated three-phase inverter is replaced, and the high-frequency l...
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This paper makes the subjects' sight locked in a certain area using an eye tracker, getting Steady-state visual evoked potential (SSVEP) from flickering stimuli with a fixed frequency but at random positions, in o...
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The failure mechanism of rubber materials under accelerated stress in aging process may be different from that under normal conditions. Therefore, identification of the failure mechanism consistency is necessary for t...
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Auto-ignition process of stoichiometric mixture of methane-air is investigated using detailed chemical kinetics in a single-zone combustion chamber. Effect of initial temperature on start of combustion (SOC). The Arrh...
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Antenna pattern is an important performance parameter of antennas, which reflects the basic performance indexes and working *** pattern measurement with high precision can be implemented bythe anechoic chamber, but th...
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ISBN:
(纸本)9789811045875
Antenna pattern is an important performance parameter of antennas, which reflects the basic performance indexes and working *** pattern measurement with high precision can be implemented bythe anechoic chamber, but the environment of the anechoic chamber is not suitable for the large size ground station antenna. Given the impact of surrounding environment, it is necessary to measure the fixed antenna in open field. Since the antenna is fixed, the traditional onitemeasurement schemes do not have high precision. As for the fixed ground station antenna, a solution is proposed to realize the high precision measurement by Unmanned Aerial Vehicle(UAV).UAV can flies along the orbit flexibly and conveniently to measure patterns in any plane. In order to reduce the influence of the positioning accuracy and flight leeway, the following improvements are implemented:(1) while the UAVflies, Real Time Kinematic(RTK) positioning based on Time Difference OfA rrival(TDOA) isapplied to realize precise positioning;(2)Curve fitting method is used to decrease the angle deviation brought by flight leeway. The proposed method is verified by simulation. The simulation results show that the amplitude error, caused by positioning error and flight leeway, is reduced to 0.21 d B. The pointing angle deviation is 0.1o.
Considering the two-dimension(2 D) characteristic and the unknown optimal trajectory problem of the batch processes,an integrated model predictive control-iterative learning control(MPC-ILC) for batch processes is pro...
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Considering the two-dimension(2 D) characteristic and the unknown optimal trajectory problem of the batch processes,an integrated model predictive control-iterative learning control(MPC-ILC) for batch processes is proposed in this ***,the batch-axis information and time-axis information are combined into one quadratic performance *** implies the integration of ILC and MPC algorithm idea,which leads to superior tracking performance and better robustness against disturbance and *** address problem of the unknown optimal trajectory,both time-varying prediction horizon and end product quality control are ***,an integrated 2 D just-in-time learning(JITL) model is used to improve the predictive ***,rigorous description and proof are presented to prove the convergence and tracking performance of the proposed MPC-ILC *** simulation results show the effectiveness of the proposed method.
In order to realize the rapid product design and development under the uncertain environment, an optimization decision theory and method of product configuration and supplier selection based on interval information is...
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ISBN:
(纸本)9781538657850
In order to realize the rapid product design and development under the uncertain environment, an optimization decision theory and method of product configuration and supplier selection based on interval information is proposed. This study proposes to combine the product configuration and supplier selection, considers multiple uncertain factors existing in the process of development, expresses multiple uncertainties with interval numbers, and establishes an integrated optimization model for interval-based product configuration and supplier selection with product cost, delivery period and product performance as the objective function. By redefining the Pareto dominance relation of the objective function value as interval, the NSGA-II algorithm is improved, and then a series of configuration options are obtained by directly solving the interval integration model. Finally, the typical lathe products are used to verify the method.
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