Sensor number optimization method based on double-population hybrid artificial bee colony algorithm
A technology of artificial bee colony algorithm and optimization method, which is applied in the field of sensor number optimization based on dual-population hybrid artificial bee colony algorithm, can solve the problems of increasing system failure, aging and damage of equipment and devices, etc., so as to improve the optimization calculation speed, sensor Reasonable effect of optimized configuration results
Pending Publication Date: 2020-12-04
HARBIN ENG UNIV
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[0002] Nuclear power plant-related equipment and devices will age and be damaged as the operating time increases, which will greatly increase the probability of system failures
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[0057] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0058] The purpose of the present invention is to provide a method for optimizing the number of sensors based on a double-population mixed artificial bee colony algorithm.
[0059] The task of sensor optimal configuration is to carry out the optimal configuration of test points and sensors. In order to obtain the best balance between test points, sensor configuration cost and diagnosability requirements. If the number of sensors is too large, it may reduce th...
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The invention discloses a sensor number optimization method based on a double-population hybrid artificial bee colony algorithm. The method comprises the following steps: determining an optimization objective function of sensor optimization configuration; establishing a constraint condition function; establishing a fitness evaluation function of sensor configuration and determining a sensor numberoptimization range according to a target function and a constraint condition function of sensor optimization configuration; and based on the fitness evaluation function and the sensor number optimization range, optimizing the sensor number by adopting a double-population hybrid artificial bee colony algorithm. According to the method, the optimization calculation speed can be increased, so that the optimization configuration result of the sensor is more reasonable.
Description
technical field [0001] The invention relates to the field of sensor number optimization, in particular to a sensor number optimization method based on a double-population mixed artificial bee colony algorithm. Background technique [0002] Nuclear power plant-related equipment and devices will age and be damaged with the increase of operating time, which will greatly increase the probability of system failure. The development of health management and life prediction technology, its strategic feasibility, and accuracy are mainly evaluated through various information obtained by sensors. Only when the sensor collects enough and accurate operating parameters and conducts a comprehensive analysis on them, can we accurately evaluate the operating status of each system and facility, and formulate relevant maintenance strategies based on the analysis results, and finally increase the cost of each system and equipment. Service life, and even reversely promote the development of hea...
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IPC IPC(8): G06N3/00G06F30/27G06F111/04G06F111/06G06F111/08
CPCG06N3/006G06F30/27G06F2111/04G06F2111/06G06F2111/08
Inventor 王航周桂彭敏俊李子康夏庚磊徐仁义
Owner HARBIN ENG UNIV