State recognition system of mechanical equipment based on the VS theory and HSMM

机译：基于VS理论与HSMM的机械设备状态识别系统

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It is significant to identify the running-states by obtaining and analyzing the vibration signals to avoid the faults. In this paper, the state recognition system is built based on the feature extraction with Varying Scale (VS) theory and Hidden Semi-Markov model (HSMM) with the example of bushing abrasion on diesel engine. The veracity of state identification can be improved effectively by banding them together. According to experiment and simulation researches, it indicates that the veracity of identification is 97.5% in the 120 test samples after training with 80 training samples. It is satisfied for the demand to the engineering domain and it can be applied for vibration analysis for other complex machineries.

机译：通过获得和分析振动信号来识别运行状态是很重要的，以避免故障。在本文中，基于具有不同尺度（VS）理论和隐藏的半马尔可夫模型（HSMM）的特征提取，具有柴油发动机上的衬套磨损的例子的特征提取。通过将它们捆扎在一起可以有效地提高状态识别的真实性。根据实验和仿真研究，它表明，在培训80个训练样本后，120个测试样品中鉴定的真实性为97.5％。它对对工程领域的需求满意，可以应用于其他复杂机器的振动分析。

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《International Conference on Electronic and Mechanical Engineering and Information Technology》|2011年||共3页
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作者
Huang Qiang; Huang Qiuping; Li Jun;
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正文语种
中图分类 TP39-53;
关键词
Hidden semi-markov models; Signal analysis; State recognition; Varying scales theory;

机译：隐藏的半马尔可夫型号;信号分析;国家识别;不同的鳞片理论;

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State recognition system of mechanical equipment based on the VS theory and HSMM

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