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基于多传感器数据融合的AMT故障在线自诊断
Online Fault Self-diagnosis for AMT Based on Merged Multisensor Data
【摘要】 为了进一步提高AMT工作的可靠性和安全性,本文阐述了一种基于多传感器数据融合的AMT故障在线自诊断方法。根据电控机械式自动变速器(AMT)的结构,在不增加系统硬件的情况下,充分利用多种可以获取的信号,将多传感器数据融合与故障树方法相结合,从而对AMT系统的大部分故障实现在线诊断。
【Abstract】 For the sake of more reliability and security of AMT,an online fault self-diagnosis method is put forward in this paper based on merged multisensor information.According to the structure of AMT and by fully utilizing accessible multi-signals without increasing more hardware,it combins the multisensor merged information and the fault tree method to realize the online self-diagnosis to the majority of faults of AMT.The author detailedly states the diagnosis arithmetic and discusses its characteristics.
【关键词】 AMT;
故障在线自诊断;
多传感器数据融合;
【Key words】 AMT; Online Fault self-diagnosis; Merged multisensor data;
【Key words】 AMT; Online Fault self-diagnosis; Merged multisensor data;
- 【文献出处】 拖拉机与农用运输车 ,Tractor & Farm Transporter , 编辑部邮箱 ,2006年05期
- 【分类号】TH132.46
- 【被引频次】5
- 【下载频次】193