Parameter optimization method based on improved principal component method
An optimization method and principal component technology, applied in the direction of comprehensive factory control, instrumentation, and comprehensive factory control, etc., can solve the problems that affect the results of parameter optimization design, limit the range of parameter optimization optimization, and the parameter design results are not reliable enough. The effect of clear display, improved robustness and production cost savings
Inactive Publication Date: 2020-03-27
河南正数智能科技有限公司
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However, the simplification of the complex multi-response system in this invention will cause the loss of decision-making information, thereby affecting the results of parameter optimization design, and the invention uses the main effect method to find improved parameters, which limits the scope of parameter optimization and makes parameter design The result is not reliable enough
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[0105] With the development and progress of intelligent production technology, in the automated manufacturing industry, the tool status not only affects the processing quality and production efficiency, but also has a certain early warning effect on the prevention of machine tool accidents for important personnel in production. Therefore, tool status monitoring is becoming more and more important. To ensure that the tool state can be stably maintained within a controllable range, in order to achieve the effect of improving the processing quality of the tool, it is usually necessary to optimize the design of the tool parameters. In the drilling production process, in order to improve the drilling quality, the helix angle (x 1 ), feed rate (x 2 ) and spindle speed (x 3 ) cutting parameters as control variables, the surface roughness (y 1 ), tool wear (y 2 ) and tool vibration (y 3 ) machining characteristics as the response variable, reflecting the machining efficiency of th...
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The invention provides a parameter optimization method based on an improved principal component method. A hesitant fuzzy thought is introduced into a parameter optimization process; a multi-response parameter optimization decision matrix is constructed, a correction coefficient is introduced in the principal component analysis process, and a weighted principal component analysis method is adjustedand improved, so that comprehensive optimization indexes are more objective, and global optimization and parameter optimization effect improvement are realized through combination of an RBF neural network and principal effect analysis. According to the method, while effective decision information is reserved, the parameter optimization form is broadened, the optimal parameter combination is fuzzified, and a larger selection space is provided for actual production.
Description
technical field [0001] The invention relates to the field of production control of complex manufacturing products, in particular to a parameter optimization method based on an improved principal component method. Background technique [0002] As the global manufacturing industry continues to move towards automation, as the first link in product design, product process design is particularly important. In process design, good process parameters can not only rationally allocate production resources and save production costs, but also reduce product defect rate, ensure product quality, and enhance the core competitiveness of corporate brands. Entrepreneurs' attention. With the changes in demand and the increase in the complexity of production, the goal of product process design is gradually measured by the comprehensive performance indicators of the product. This change makes the process parameter design a complex multi-response parameter optimization problem. The combination...
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Login to View More IPC IPC(8): G05B19/418
CPCG05B19/41885G05B2219/32339Y02P90/02
Inventor 禹建丽谷丰盈赵国正
Owner 河南正数智能科技有限公司