舰船电子工程2023，Vol.43Issue(10)：186-193,199,9.DOI:10.3969/j.issn.1672-9730.2023.10.039
基于多策略融合改进鲸鱼算法的诊断策略优化方法
Diagnostic Strategy Optimization Method Based on Multi-strategy Fusion Improved Whale Algorithm
赵力 1史贤俊 1秦玉峰1
作者信息
- 1. 海军航空大学岸防兵学院 烟台 264000
- 折叠
摘要
Abstract
The construction of the diagnostic strategy is an important part of the equipment testability design process,which is of great significance to improve the fault diagnosis capability and diagnostic efficiency of the equipment.In view of the fact that test uncertainties such as false alarms and missed tests often occur in practical engineering applications,which seriously affects the opti-mal design of diagnostic strategies,and that the existing heuristic search algorithm is difficult to solve the diagnostic strategy optimi-zation problem under test uncertainty conditions,a diagnostic strategy optimization method based on multi-strategy fusion improved whale optimization algorithm is proposed.The mathematical model of the diagnostic strategy optimization problem under test uncer-tainty is firstly established.Then the improved whale optimization algorithm is designed to solve the diagnostic strategy optimization problem with test cost,test reliability and error diagnosis cost as the optimization objectives.Finally,the inertial measurement com-bination of a certain type of equipment is used as an example for instance verification,and through the comparison with the common whale optimization algorithm,algorithm and quasi-depth search algorithm.Finally,the feasibility and effectiveness of the algorithm are verified by comparing it with the common whale optimization algorithm and the algorithm,which reflects the advantages of the al-gorithm in terms of convergence speed and global search efficiency.关键词
测试性设计/诊断策略优化/测试不确定/鲸鱼优化算法Key words
testability design/diagnostic strategy optimization/test uncertainty/whale optimization algorithm分类
信息技术与安全科学引用本文复制引用
赵力,史贤俊,秦玉峰..基于多策略融合改进鲸鱼算法的诊断策略优化方法[J].舰船电子工程,2023,43(10):186-193,199,9.
