123,123,123

內(nèi)容簡(jiǎn)介

　　本書(shū)圍繞數(shù)控磨齒機(jī)可靠性技術(shù)中的一系列問(wèn)題，在可靠性建模、可靠性評(píng)估、故障分析及可靠性風(fēng)險(xiǎn)評(píng)價(jià)等方面進(jìn)行了研究，以達(dá)到提高國(guó)產(chǎn)數(shù)控磨齒機(jī)的可靠性水平的目的。本書(shū)首先確定了可靠性評(píng)價(jià)特征量及這些特征量之間的相互關(guān)系，為可靠性評(píng)估方法的研究奠定基礎(chǔ)；其次對(duì)小樣本可靠性評(píng)估方法進(jìn)行了研究，建立了基于 RBF 神經(jīng)網(wǎng)絡(luò)的可靠性評(píng)估流程，同時(shí)對(duì)數(shù)控成形磨齒機(jī)故障和可靠性風(fēng)險(xiǎn)進(jìn)行了綜合分析，為提升機(jī)床裝備可靠性奠定基礎(chǔ)。本書(shū)適合企業(yè)技術(shù)裝備人員閱讀，也可作為高等學(xué)校機(jī)械制造、智能制造相關(guān)專業(yè)在校本科生、研究生的教學(xué)參考用書(shū)。

作者簡(jiǎn)介

　　王會(huì)良，副教授，碩士生導(dǎo)師，工學(xué)博士，中國(guó)機(jī)械工程學(xué)會(huì)會(huì)員，畢業(yè)于西北工業(yè)大學(xué)機(jī)械設(shè)計(jì)及理論專業(yè)。主要研究領(lǐng)域：齒輪數(shù)字化設(shè)計(jì)與智能制造技術(shù)、機(jī)器人控制技術(shù)、裝備可靠性工程等。授權(quán)發(fā)明專利4項(xiàng)，出版專著3部，發(fā)表論文30余篇。

圖書(shū)目錄

第 1 章可靠性建模理論 ·····························································.1
1.1 可靠性建模與可靠性評(píng)價(jià) ···············································.1
1.1.1 可靠性建模目的和意義 ·········································.1
1.1.2 可靠性評(píng)價(jià)函數(shù) ··················································.2
1.1.3 可靠性評(píng)價(jià)指標(biāo) ··················································.4
1.2 可靠性分布模型簡(jiǎn)介 ·····················································.5
1.2.1 韋布爾分布模型 ··················································.5
1.2.2 指數(shù)分布模型 ·····················································.7
1.2.3 正態(tài)分布模型 ·····················································.9
1.2.4 對(duì)數(shù)正態(tài)分布模型 ···············································10
1.3 可靠性分布模型檢驗(yàn)方法 ···············································12
1.3.1 統(tǒng)計(jì)假設(shè)檢驗(yàn) ·····················································12
1.3.2 擬合優(yōu)度檢驗(yàn) ·····················································14
1.4 本章小結(jié)····································································16
第 2 章數(shù)控磨齒機(jī)磨削原理························································17
2.1 磨削加工理論 ······························································17
2.1.1 磨削機(jī)理 ···························································17
2.1.2 磨削加工 ···························································17
2.1.3 磨削力計(jì)算 ························································19
2.2 成形磨齒機(jī)磨削原理 ·····················································20
2.2.1 成形磨齒原理 ·····················································20
2.2.2 成形數(shù)控磨齒機(jī)結(jié)構(gòu) ············································21
2.3 擺線輪磨削原理 ···························································22
2.3.1 擺線輪齒面形狀 ··················································22
2.3.2 擺線輪嚙合方程 ··················································25
2.3.3 擺線輪磨齒機(jī)結(jié)構(gòu) ···············································29
2.3.4 擺線輪磨削機(jī)理 ··················································32
2.4 本章小結(jié)····································································33
第 3 章數(shù)控磨齒機(jī)故障綜合分析 ··················································34
3.1 振動(dòng)信號(hào)故障特征提取技術(shù) ············································34
3.1.1 EMD 算法介紹····················································34
3.1.2 實(shí)驗(yàn)數(shù)據(jù)采集 ·····················································37
3.1.3 振動(dòng)數(shù)據(jù)的處理與分析 ·········································39
3.2 數(shù)控磨齒機(jī)故障樹(shù)分析（FTA） ·······································42
3.2.1 FTA 基本方法 ·····················································42
3.2.2 數(shù)控磨齒機(jī)故障樹(shù)的建立 ······································43
3.2.3 數(shù)控磨齒機(jī)故障樹(shù)定性分析 ···································45
3.3 基于 FTA-AHP 的數(shù)控磨齒機(jī)可靠性分析····························48
3.3.1 FTA-AHP···························································48
3.3.2 在數(shù)控磨齒機(jī)上應(yīng)用 FTA-AHP ·······························49
3.3.3 故障因素層次總排序分析 ······································53
3.4 本章小結(jié)····································································55
第 4 章基于 RBF 神經(jīng)網(wǎng)絡(luò)的數(shù)控磨齒機(jī)可靠性評(píng)估···························56
4.1 RBF 神經(jīng)網(wǎng)絡(luò)簡(jiǎn)介························································56
4.1.1 RBF 神經(jīng)網(wǎng)絡(luò)結(jié)構(gòu)介紹·········································56
4.1.2 RBF 神經(jīng)網(wǎng)絡(luò)學(xué)習(xí)算法·········································58
4.2 基于 RBF 神經(jīng)網(wǎng)絡(luò)的擴(kuò)充算法 ········································60
4.2.1 RBF 神經(jīng)網(wǎng)絡(luò)擴(kuò)充算法的設(shè)計(jì) ································60
4.2.2 RBF 神經(jīng)網(wǎng)絡(luò)可靠性評(píng)估流程 ································61
4.3 實(shí)例分析····································································63
4.3.1 原始故障間隔時(shí)間分布模型 ···································63
4.3.2 RBF 神經(jīng)網(wǎng)絡(luò)擴(kuò)充數(shù)據(jù)及分析 ································67
4.3.3 數(shù)控磨齒機(jī)可靠性評(píng)估 ·········································71
4.4 本章小結(jié)····································································75
第 5 章基于貝葉斯方法的數(shù)控磨齒機(jī)可靠性建模分析 ·························76
5.1 可靠性數(shù)據(jù)的收集 ························································76
5.1.1 可靠性數(shù)據(jù)分類 ··················································76
5.1.2 可靠性數(shù)據(jù)收集方法 ············································77
5.1.3 可靠性數(shù)據(jù)的篩選 ···············································78
5.2 數(shù)控磨齒機(jī)先驗(yàn)信息 ·····················································79
5.2.1 先驗(yàn)信息預(yù)處理 ··················································79
5.2.2 先驗(yàn)信息相容性檢驗(yàn) ············································79
5.3 數(shù)控磨齒機(jī)先驗(yàn)分布的確定 ·····