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基于空间绘图的电子设备的综合诊断优化设计
1College of Coastal Defense Force, Naval Aviation University, Yantai, China.
Science progress
|November 6, 2024
概括
本研究引入了一种新的空间绘图策略,用于优化电子设备的综合诊断,显著降低测试数量和成本. 灰狼优化算法在故障检测和隔离方面实现了卓越的效率和准确性.
科学领域:
- 电气工程 电气工程
- 计算机科学 计算机科学
- 可靠性工程可靠性工程
背景情况:
- 由于复杂的测试和故障信息,电子设备的综合诊断是复杂的.
- 现有的方法可以单独优化测试或资源分配,忽视它们的相互依赖.
- 设计设备可靠性需要解决这些相互连接的优化挑战.
研究的目的:
- 提出一个设计策略,利用空间绘图原则优化综合诊断.
- 量化定义测试和资源优化之间的约束关系.
- 开发一个优化模型来提高电子设备的可靠性.
主要方法:
- 使用空间映射原理来建模测试,资源和故障空间之间的逻辑关系.
- 灰狼优化算法用于确定最佳测试和资源配置.
- 拟议的算法的效率是使用基准函数和电子设备模型来验证的.
主要成果:
- 优化的综合诊断实现了100%的关键故障检测,99.99%的故障检测和98.99%的故障隔离,误报率为0.2993%.
- 综合诊断优化将测试数量减少了88.9%,并节省了89%的测试成本.
- 灰狼优化算法表现优于其他算法,测试降低了42%-55%,成本降低了77.63%-83.91%.
结论:
- 拟议的空间绘图策略有效地优化了电子设备的综合诊断.
- 这种方法显著提高了测试效率,并大大降低了测试成本.
- 灰狼优化算法为复杂的综合诊断问题提供了强大的解决方案.
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