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基于振動模型的采煤機搖臂齒輪局部故障頻譜分析

發(fā)布時間:2018-11-27 07:44
【摘要】:從齒輪傳動機理出發(fā),考慮直齒輪局部故障對嚙合振動的調(diào)幅調(diào)頻作用,建立了直齒輪局部故障振動信號模型;在直齒輪局部故障模型的基礎上,分析了行星齒輪結(jié)構(gòu)特征及振動信號產(chǎn)生和變化規(guī)律,建立了行星齒輪局部故障振動信號模型。對帶有不同齒輪局部故障的搖臂進行加載試驗,對采集的試驗振動信號進行了頻譜分析,分析結(jié)果表明,所建立的齒輪故障振動信號模型能客觀、準確地反映搖臂齒輪故障狀態(tài),應用頻譜分析方法可實現(xiàn)搖臂齒輪局部故障診斷。
[Abstract]:Based on the mechanism of gear transmission, the amplitude modulation and frequency modulation effect of spur gear local fault on meshing vibration is considered, and the signal model of spur gear local fault vibration is established. Based on the local fault model of spur gear, the structure characteristics and vibration signal generation and variation law of planetary gear are analyzed, and the local fault vibration signal model of planetary gear is established. The loading test of rocker arm with different local faults of gear is carried out, and the spectrum analysis of the vibration signal of the test is carried out. The results show that the vibration signal model of gear fault can be established objectively. The fault state of rocker arm gear is accurately reflected, and the local fault diagnosis of rocker arm gear can be realized by using spectrum analysis method.
【作者單位】: 太原理工大學煤礦設備與智能控制山西省重點實驗室;山西菲利普斯煤礦機械修造有限公司;
【基金】:山西省科技重大專項項目(20131101029)
【分類號】:TD421.6
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本文編號:2359919

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