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往复式天然气压缩机振动故障自动控制方法

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天然气压缩机在工作过程中由于产生的信号类型较多,难以判断故障类型,导致振动故障的控制难度较大,因此提出一种新的往复式天然气压缩机振动故障自动控制方法.采用线性回归方式构建振动信号预测模型,通过模糊聚类组建振动特征灰度共生矩阵,推理规则下梳理特征诊断压缩机故障,完成往复式天然气压缩机振动故障诊断.以故障诊断结果为基础,通过方差分析法实现振动故障的自动控制.实验结果表明:所提方法能够完整采集到故障振动信号,对其强度数值的所在位置做出正确标记;并且在多组故障样本数据中,所提方法对故障的诊断结果,最高准确率为98%.
Automatic Control Method for Vibration Fault of Reciprocating Natural Gas Compressor
Due to the large number of signal types generated by natural gas compressor in the working process,it is difficult to judge the fault type,resulting in the difficulty of vibration fault control.Therefore,a new automatic control method for vibration fault of reciprocating natural gas compressor is studied.The vibration signal prediction model is constructed by linear regression,and the vibration feature gray co-oc-currence matrix is established by fuzzy clustering.The compressor fault is diagnosed by combing the fea-tures under the reasoning rules,and the vibration fault diagnosis of reciprocating natural gas compressor is completed.Based on the results of fault diagnosis,the automatic control of vibration fault is realized by va-riance analysis.The experimental results show that this method can collect the fault vibration signal com-pletely and mark the position of its strength value correctly;and in many groups of fault sample data,the highest accuracy of the fault diagnosis results of this method is 98%.

reciprocating natural gas compressorvibration faultautomatic control

宋瑞明、许江波、陈保中

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中石油煤层气有限责任公司忻州分公司,山西 忻州 036600

往复式天然气压缩机 振动特征 自动控制

2024

机械与电子
中国机械工业联合会科技工作部 机械与电子杂志社

机械与电子

CSTPCD
影响因子:0.243
ISSN:1001-2257
年,卷(期):2024.42(1)
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