首页|基于智能传感器的评标系统故障诊断

基于智能传感器的评标系统故障诊断

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针对评标系统中投标信号不稳定以及能量消耗等故障问题,研究通过引入无线传感器和遗传退火算法对评标系统故障进行识别分类.无线传感器与遗传算法对失效的评标任务进行高效分配,然后通过负载均衡与能量消耗的指标对评标故障进行识别分类.结果表明,研究提出方法的故障诊断准确性达到 99%,故障诊断平均适应度值由 0.049 提升至 0.060.研究证实了智能传感器在提高评标系统故障诊断效率具有较好的准确性,为后续评标系统优化提供新的思路.
Fault diagnosis of bid evaluation system based on intelligent sensor
Aiming at the problems of unstable bid signal and energy consumption in bid evaluation system,wireless sensor and genetic annealing algorithm are introduced to identify and classify the bid evaluation system faults.The wireless sensor and genetic al-gorithm efficiently allocate the failed bid evaluation tasks,and then identify and classify the bid evaluation faults by load balancing and energy consumption indicators.The results show that the fault diagnosis accuracy of the proposed method reaches 99%,and the average fitness value of fault diagnosis increases from 0.049 to 0.060.The research proves that the intelligent sensor has good accura-cy in improving the fault diagnosis efficiency of the bid evaluation system,which is a new idea to optimize the system for the subse-quent bid evaluation system.

intelligent sensorbid evaluation systemgenetic annealing algorithmbreakdown

王耀方延、李雅然、韩靖雯、丁娜

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国网陕西省电力有限公司物资公司,西安 710000

智能传感器 评标系统 遗传退火算法 故障

2024

自动化与仪器仪表
重庆工业自动化仪表研究所,重庆市自动化与仪器仪表学会

自动化与仪器仪表

CSTPCD
影响因子:0.327
ISSN:1001-9227
年,卷(期):2024.(11)