针对液压泵滑靴磨损状态的评估问题,提出了一种基于形态差值滤波和形态指数(MI)的方法来有效地诊断滑靴磨损故障并评估其劣化程度。首先,利用形态差值滤波器对现场实测的正常状态和四种不同磨损程度的滑靴故障的振动信号进行滤波处理,提取出清晰的特征信息;其次,对滤波后的振动信号进行有量纲参数和无量纲参数的提取,其中有量纲参数包括首次引入到液压泵健康状态评估领域的MI;最后,通过分析MI对滑靴磨损故障及其劣化程度的敏感性和变化规律,得出MI可以有效地诊断出滑靴磨损故障及评估其劣化程度。
Abstract
Aiming at the slipper wear of hydraulic pump condition assessment, a new method that can effectively diagnose slipper wear fault and assess its deterioration degrees is proposed. The method is based on morphological difference filter and morphological index (MI). Firstly, the normal vibration signal and slipper wear fault vibration signals of four deterioration degrees are filtered by morphological difference filter to get the clear feature information. Secondly, the dimensional parameters and dimensionless parameters are extracted from the signals and the dimensional parameters include the MI firstly introduced in the field of hydraulic pump health condition assessment. Lastly, by analyzing the sensitivity of MI to slipper wear fault and its deterioration degrees, the conclusion is that MI can effectively diagnose the fault of slipper wear and assess its deterioration degrees.
关键词
滑靴磨损 /
形态指数 /
形态差值滤波 /
液压泵 /
状态评估
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Key words
slipper wear /
morphological index /
morphological difference filter /
hydraulic pump /
condition assessment
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参考文献
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脚注
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