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使用组合硬件和时间冗余信息的异质多代理系统的数据驱动故障检测
Chen Yang1, Yan Li1, Qijun Chen1
1School of Electronics and Information Engineering, Tongji University, Shanghai, PR China.
ISA transactions
|February 11, 2024
概括
本研究引入了一种新的数据驱动故障检测 (FD) 方法,用于异质多代理系统 (HMAS). 该方法通过结合冗余信息和减少计算负载来提高检测速度和准确性.
科学领域:
- 控制系统工程 控制系统工程
- 人工智能的人工智能
- 分布式系统 分布式系统
背景情况:
- 故障检测 (FD) 对于复杂系统的可靠运行至关重要.
- 异质多代理系统 (HMAS) 由于其多样化的组件和未知的系统动态,为FD带来了独特的挑战.
- 现有的FD方法往往在计算复杂性和平衡灵敏度与稳定性方面扎.
研究的目的:
- 开发一种新的数据驱动故障检测方案,用于未知系统模型的HMAS.
- 为了加快故障检测器的生成,同时保持高检测准确度.
- 为了减少FD计划的计算负担并提高代理性能.
主要方法:
- 一个数据驱动的故障检测方案,结合硬件和时间冗余信息.
- 一个两步的顺序减少算法,以减轻计算负担.
- 优化问题的制定和简化,以平衡故障灵敏度和干扰强度.
主要成果:
- 通过示例和比较实验证明了拟议的FD计划的有效性.
- 在故障检测速度和准确性方面取得了显著的改进.
- 与传统方法相比,减少了计算复杂性.
- 增强对系统干扰的稳定性.
结论:
- 拟议的数据驱动的FD方案有效地解决了未知模型的HMAS中故障检测的挑战.
- 冗余信息和订单减少的结合提供了一个计算效率高,准确的解决方案.
- 优化方法成功地平衡了检测灵敏度和稳定性,从而提高了代理性能.
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