本書圍繞數(shù)控磨齒機可靠性技術中的一系列問題，在可靠性建模、可靠性評估、故障分析及可靠性風險評價等方面進行了研究，以達到提高國產數(shù)控磨齒機的可靠性水平的目的。本書首先確定了可靠性評價特征量及這些特征量之間的相互關系，為可靠性評估方法的研究奠定基礎；其次對小樣本可靠性評估方法進行了研究，建立了基于 RBF 神經網絡的可靠性評估流程，同時對數(shù)控成形磨齒機故障和可靠性風險進行了綜合分析，為提升機床裝備可靠性奠定基礎。 本書適合企業(yè)技術裝備人員閱讀，也可作為高等學校機械制造、智能制造相關專業(yè)在校本科生、研究生的教學參考用書。
王會良，副教授，碩士生導師，工學博士，中國機械工程學會會員，畢業(yè)于西北工業(yè)大學機械設計及理論專業(yè)。主要研究領域：齒輪數(shù)字化設計與智能制造技術、機器人控制技術、裝備可靠性工程等。授權發(fā)明專利4項，出版專著3部，發(fā)表論文30余篇。
第 1 章 可靠性建模理論 ·····························································.1
1.1 可靠性建模與可靠性評價 ···············································.1
1.1.1 可靠性建模目的和意義 ·········································.1
1.1.2 可靠性評價函數(shù) ··················································.2
1.1.3 可靠性評價指標 ··················································.4
1.2 可靠性分布模型簡介 ·····················································.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 對數(shù)正態(tài)分布模型 ···············································10
1.3 可靠性分布模型檢驗方法 ···············································12
1.3.1 統(tǒng)計假設檢驗 ·····················································12
1.3.2 擬合優(yōu)度檢驗 ·····················································14
1.4 本章小結····································································16
第 2 章 數(shù)控磨齒機磨削原理························································17
2.1 磨削加工理論 ······························································17
2.1.1 磨削機理 ···························································17
2.1.2 磨削加工 ···························································17
2.1.3 磨削力計算 ························································19
2.2 成形磨齒機磨削原理 ·····················································20
2.2.1 成形磨齒原理 ·····················································20
2.2.2 成形數(shù)控磨齒機結構 ············································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 擺線輪磨齒機結構 ···············································29
2.3.4 擺線輪磨削機理 ··················································32
2.4 本章小結····································································33
第 3 章 數(shù)控磨齒機故障綜合分析 ··················································34
3.1 振動信號故障特征提取技術 ············································34
3.1.1 EMD 算法介紹····················································34
3.1.2 實驗數(shù)據采集 ·····················································37
3.1.3 振動數(shù)據的處理與分析 ·········································39
3.2 數(shù)控磨齒機故障樹分析（FTA） ·······································42
3.2.1 FTA 基本方法 ·····················································42
3.2.2 數(shù)控磨齒機故障樹的建立 ······································43
3.2.3 數(shù)控磨齒機故障樹定性分析 ···································45
3.3 基于 FTA-AHP 的數(shù)控磨齒機可靠性分析····························48
3.3.1 FTA-AHP···························································48
3.3.2 在數(shù)控磨齒機上應用 FTA-AHP ·······························49
3.3.3 故障因素層次總排序分析 ······································53
3.4 本章小結····································································55
第 4 章 基于 RBF 神經網絡的數(shù)控磨齒機可靠性評估···························56
4.1 RBF 神經網絡簡介························································56
4.1.1 RBF 神經網絡結構介紹·········································56
4.1.2 RBF 神經網絡學習算法·········································58
4.2 基于 RBF 神經網絡的擴充算法 ········································60
4.2.1 RBF 神經網絡擴充算法的設計 ································60
4.2.2 RBF 神經網絡可靠性評估流程 ································61
4.3 實例分析····································································63
4.3.1 原始故障間隔時間分布模型 ···································63
4.3.2 RBF 神經網絡擴充數(shù)據及分析 ································67
4.3.3 數(shù)控磨齒機可靠性評估 ·········································71
4.4 本章小結····································································75
第 5 章 基于貝葉斯方法的數(shù)控磨齒機可靠性建模分析 ·························76
5.1 可靠性數(shù)據的收集 ························································76
5.1.1 可靠性數(shù)據分類 ··················································76
5.1.2 可靠性數(shù)據收集方法 ············································77
5.1.3 可靠性數(shù)據的篩選 ···············································78
5.2 數(shù)控磨齒機先驗信息 ·····················································79
5.2.1 先驗信息預處理 ··················································79
5.2.2 先驗信息相容性檢驗 ············································79
5.3 數(shù)控磨齒機先驗分布的確定 ············································82
5.3.1 常用的先驗分布介紹 ············································82
5.3.2 自助法確定先驗分布 ············································82
5.3.3 分布模型的假設檢驗 ············································85
5.4 后驗分布計算 ······························································87
5.4.1 Win BUGS 軟件計算·············································87
5.4.2 后驗參數(shù)區(qū)間和 MTBF 計算···································94
5.5 本章小結····································································95
第 6 章 基于模糊 FMECA 的數(shù)控磨齒機可靠性評估····························97
6.1 傳統(tǒng) FMECA 方法介紹 ··················································97
6.2 模糊風險評價模型 ························································98
6.2.1 模糊語言變量 ·····················································99
6.2.2 模糊綜合評判 ··················································.100
6.3 數(shù)控磨齒機子系統(tǒng) FMEA 分析······································.102
6.4 數(shù)控磨齒機子系統(tǒng)模糊風險評價（CA） ·························.108
6.4.1 進給伺服子系統(tǒng) ···············································.108
6.4.2 機床液壓子系統(tǒng) ···············································.110
6.4.3 磨削砂輪子系統(tǒng) ···············································.111
6.4.4 電氣控制子系統(tǒng) ···············································.113
6.4.5 冷卻潤滑子系統(tǒng) ···············································.114
6.5 本章小結·································································.116
第 7 章 總結與展望 ································································.118
7.1 研究工作總結 ···························································.118
7.2 展望·······································································.119
參考文獻 ··············································································.120
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