机械结构动态优化的创新方法与实际应用研究
Innovative Methods and Practical Applications of Dynamic Optimization in Mechanical Structures
张若楠1
作者信息
- 1. 北票市下府经济开发区综合事务服务中心,辽宁 朝阳 122113
- 折叠
摘要
本研究提出一种基于深度学习的机械结构动态优化方法,利用实时数据分析与自适应控制算法进行性能调优.该方法能即时监控并调整机械结构的多项参数,从而实现其性能的实时优化.通过一系列实验,证明了该方法能有效提高机械结构的耐用性和运行效率.这一创新方法有望为高效、可靠的工业生产提供有力支持.
Abstract
This research introduces a dynamic optimization method for mechanical structures based on deep learning,utilizing real-time data analytics and adaptive control algorithms for performance tuning.The method can instantly monitor and adjust multiple parameters of the mechanical structure,thereby achieving real-time performance optimization.A series of experiments have proven the effectiveness of this innovative approach in enhancing the durability and operational efficiency of mechanical structures.This innovative method is expected to provide robust support for efficient and reliable industrial production.
关键词
机械结构耐用性/动态优化/深度学习/实时数据分析/自适应控制Key words
mechanical structure durability/dynamic optimization/deep learning/real-time data analytics/adaptive control引用本文复制引用
出版年
2024
NETL
NSTL
万方数据