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首页> 外文期刊>Advances in Mechanical Engineering >Multi-mode kernel principal component analysis–based incipient fault detection for pulse width modulated inverter of China Railway High-speed 5:
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Multi-mode kernel principal component analysis–based incipient fault detection for pulse width modulated inverter of China Railway High-speed 5:

机译:基于多模核主成分分析的中铁五局脉宽调制逆变器早期故障检测:

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This article deals with incipient fault of insulated-gate bipolar transistors to improve the safety of traction systems of China Railway High-speed 5. Combining with the pulse width modulated strategy which makes signals variate periodically, the multi-mode kernel principal component analysis algorithm is proposed. It can effectively not only capture the tiny changes caused by incipient faults but also detect short-faults of insulated-gate bipolar transistors in electrical systems. In feature space of every mode, different thresholds will be formed corresponding to defined modes. The proposed scheme is tested in experimental setup of traction system of China Railway High-speed 5 with incipient fault and short-circuit fault, and experimental results show that the multi-mode kernel principal component analysis has superior monitoring performance compared to other five methods.
机译:本文针对绝缘栅双极型晶体管的初期故障,以提高中铁5号高速牵引系统的安全性。结合脉宽调制策略,使信号周期性变化,多模核主成分分析算法为建议。它不仅可以有效地捕获由初期故障引起的微小变化,而且可以检测电气系统中绝缘栅双极型晶体管的短路故障。在每种模式的特征空间中,将对应于定义的模式形成不同的阈值。该方案在具有初期故障和短路故障的中铁五局牵引系统实验装置中进行了测试,实验结果表明,与其他五种方法相比,多模核主成分分析方法具有更好的监测性能。

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