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1、關(guān)于滾動(dòng)軸承故障診斷方法的研究課程:學(xué)院:班級(jí):指導(dǎo)教師:姓名:學(xué)號(hào):完成日期:2015年12月15日目錄第一章研究背景1進(jìn)行滾動(dòng)軸承故障檢測(cè)與診斷的背景與意義·······················011.1滾動(dòng)軸承故障檢測(cè)與診斷領(lǐng)域背景···························011.2進(jìn)行滾動(dòng)軸承故障檢測(cè)與診斷的意義·························012常見(jiàn)的滾動(dòng)軸承結(jié)構(gòu)···········································013常見(jiàn)的滾動(dòng)軸承
2、故障形式·······································024滾動(dòng)軸承故障監(jiān)測(cè)與診斷的一般步驟·····························034.1常見(jiàn)的滾動(dòng)軸承故障信息獲取方法···························044.1.1溫度監(jiān)測(cè)法···········································044.1.2振動(dòng)監(jiān)測(cè)法···········································044.1.3油液監(jiān)測(cè)法·
3、··········································044.1.4光纖監(jiān)測(cè)法···········································044.1.5聲發(fā)射法·············································054.2常見(jiàn)的滾動(dòng)軸承故障特征提取方法···························054.2.1基于傳統(tǒng)時(shí)域統(tǒng)計(jì)參數(shù)的特征提取·······················054.2.2基于頻域和時(shí)頻分析
4、特征提取···························054.2.3基于非線性參數(shù)的特征提取·····························054.3常見(jiàn)的滾動(dòng)軸承故障狀態(tài)模式識(shí)別···························064.3.1人工神經(jīng)網(wǎng)絡(luò)·········································064.3.2隱馬爾可夫模型·······································074.3.3支持向量機(jī)················
5、···························075常見(jiàn)的用于滾動(dòng)軸承故障檢測(cè)與診斷的傳感器·····················075.1傳感器的靈敏度···········································075.2滾動(dòng)軸承故障診斷領(lǐng)域中用到的振動(dòng)傳感器···················085.3滾動(dòng)軸承故障診斷領(lǐng)域中用到的加速度傳感器·················085.4滾動(dòng)軸承故障診斷領(lǐng)域中用到的壓電式加速度傳感器···········086常用的滾動(dòng)軸承故
6、障診斷與檢測(cè)的分析方法·······················096.1基于流行學(xué)習(xí)法的滾動(dòng)軸承故障診斷和檢測(cè)方法···············096.2基于無(wú)量綱指標(biāo)與波譜分析的滾動(dòng)軸承故障診斷方法···········106.3基于譜峭度及原子分解的滾動(dòng)軸承故障診斷方法···············106.4基于模型辨識(shí)的滾動(dòng)軸承故障診斷方法·······················106.5基于EMD的滾動(dòng)軸承故障灰色診斷方法·······················116.6基于近鄰元分析的滾動(dòng)
7、軸承故障診斷方法·····················116.7基于LMD的滾動(dòng)軸承故障診斷方法···························116.8基于BP神經(jīng)網(wǎng)絡(luò)的滾動(dòng)軸承故障診斷方法····················126.9基于量子遺傳算法和譜峭度法相結(jié)合的滾動(dòng)軸承故障診斷方法···126.10基于EMD和相關(guān)系數(shù)的希爾伯特振動(dòng)分解滾動(dòng)軸承檢測(cè)方法····126.11基于奇異譜分析和連續(xù)隱馬爾可夫模型的故障診斷方法········126.12基于改進(jìn)的固有時(shí)間尺度分解和魯棒回歸變量預(yù)測(cè)模式
8、診斷····136.13基于多尺度模糊熵變預(yù)測(cè)模型的滾動(dòng)軸承故障診斷方法········137本文思路及內(nèi)容安排···········································13第二章滾動(dòng)軸承故障檢測(cè)與診斷1系統(tǒng)設(shè)計(jì)與滾動(dòng)軸承故障信息獲取·······························142原始數(shù)據(jù)零均值化