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Research on measuring point configuration based on particle swarm optimization technology in fault diagnosis

机译:故障诊断中基于粒子群优化技术的测点配置研究

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In view of complex dynamics system like the vehicles gear gearbox, it established the structure in the diversity drive and the diversity response transmission characteristic model. After considered the actual situation that the internal vibration signal of various parts arrived at the box body surface and folds mutually put together through the different transmission way, it proposed the essential method that it solved failure detection the sensor optimal and the measuring point disposition question with particle swarm optimizes algorithm. Analyzed and transmitted characteristic parameter optimization of the measuring point through various measuring points' test, it not only has given the basic optimal principle of measuring point arrangement, but also has proved that sensor and measuring point optimization disposition is feasible basing on the particle swarm optimization techniques.
机译:针对汽车变速箱等复杂的动力学系统,建立了分集驱动和分集响应传递特性模型的结构。在考虑了各个部位的内部振动信号通过不同的传输方式到达箱体表面并相互折叠的实际情况后,提出了解决故障检测传感器最优和测量点配置问题的基本方法。粒子群优化算法。通过各种测点的测试分析和传输测点的特征参数优化,不仅给出了测点布置的基本最优原理,而且证明了基于粒子群算法的传感器和测点优化配置是可行的技术。

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