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智能傳感器理論基礎及應用 讀者對象:本書可作為高等院校測控技術與儀器、電子信息工程、自動化、電氣工程、系統(tǒng)工程、電子科學與技術等專業(yè)高年級本科生教材,也可作為相關專業(yè)研究生教學用書,還可供相關領域的科研人員、工程技術人員參考。
本書系統(tǒng)、全面地闡述了智能傳感器理論基礎及應用技術,全書內容共7 章,第1 章緒論,介紹智能 傳感器的歷史背景及發(fā)展現(xiàn)狀;第2 章智能傳感器智能化功能及其實現(xiàn)技術,重點介紹智能傳感器的基本功能、數(shù)據(jù)處理方式及其實現(xiàn)途徑;第3 章智能傳感器信息處理技術,介紹預測濾波器、時-頻分析法、數(shù)據(jù)驅動法、熵方法、模式識別法5 種智能傳感器信息處理技術;第4 章自確認傳感器技術,介紹自確認傳感器原理、結構、自確認傳感器方法、主要功能;第5 章智能聲發(fā)射傳感器及其應用,介紹智能聲發(fā)射傳感器檢測術及其在軸承故障診斷系統(tǒng)中的應用;第6 章智能氣體傳感器及其應用,介紹智能氣體傳感器技術及其在大氣污染物檢測中的應用;第7 章智能壓力傳感器及其應用,介紹智能壓力傳感器技術及其在火箭發(fā)動機試驗臺系統(tǒng)中的應用。
宋凱,哈爾濱工業(yè)大學電氣工程及自動化學院專職教師,碩士生導師;哈爾濱工業(yè)大學機器人技術與系統(tǒng)國家重點實驗室博士后,先后講授《智能儀器設計基礎》、《基于DSP的智能儀器設計》等課程。
目 錄
第1 章 緒論 ···············································································································.1 1.1 傳感器技術概述 ································································································.1 1.2 現(xiàn)代傳感器技術 ···································································································.2 1.2.1 現(xiàn)代傳感器技術特征 ····················································································.2 1.2.2 集成/固態(tài)傳感器的特點 ··············································································.2 1.3 智能傳感器概述 ······································································································.3 1.3.1 智能傳感器的定義 ························································································.3 1.3.2 智能傳感器的特點 ·····························································································.5 1.3.3 智能傳感器的組成 ·····························································································.6 1.3.4 智能傳感器的形式 ···························································································.7 1.3.5 傳感器智能化的途徑 ·························································································.8 1.3.6 智能傳感器的發(fā)展及趨勢······················································································.8 1.3.7 智能傳感器的開發(fā)重點 ························································································.9 1.4 智能傳感器中的軟件方法 ························································································.9 1.4.1 軟件子模塊 ·······································································································.10 1.4.2 預處理 ··············································································································.10 1.4.3 狀態(tài)監(jiān)測與故障檢測模塊 ······················································································.11 1.5 智能傳感器的實現(xiàn)方式 ··························································································.12 1.5.1 非集成化智能傳感器 ···················································································.12 1.5.2 集成化智能傳感器 ·······················································································.12 1.5.3 智能傳感器混合集成 ·······················································································.13 參考文獻 ·················································································································.14 第2 章 智能傳感器智能化功能及其實現(xiàn)技術 ·····························································.15 2.1 智能傳感器的基本功能 ······················································································.15 2.1.1 智能傳感器的自檢技術 ··················································································.15 2.1.2 智能傳感器的自動校準技術 ··········································································.20 2.1.3 智能傳感器的量程自動轉換技術········································································.23 2.1.4 智能傳感器的標度變換技術 ··············································································.26 2.2 智能傳感器測量數(shù)據(jù)處理 ·····················································································.28 2.2.1 測量數(shù)據(jù)的非數(shù)值處理 ·····················································································.28 2.2.2 系統(tǒng)誤差的數(shù)據(jù)處理 ·······················································································.33 2.2.3 隨機誤差的數(shù)據(jù)處理 ·················································································.42 參考文獻 ···········································································································.45 第3 章 智能傳感器信息處理技術 ···········································································.46 3.1 概述 ·············································································································.46 3.2 預測濾波器 ····································································································.46 3.2.1 多項式預測濾波器 ··············································································.46 3.2.2 灰色預測濾波器 ····························································································.47 3.3 時–頻分析法 ·········································································································.50 3.3.1 小波包分析 ·································································································.50 3.3.2 經(jīng)驗模態(tài)分解 ····························································································.51 3.3.3 集合經(jīng)驗模態(tài)分解 ·······················································································.52 3.3.4 互補集合經(jīng)驗模態(tài)分解 ···············································································.54 3.4 數(shù)據(jù)驅動法 ····································································································.55 3.4.1 主成分分析 ································································································.55 3.4.2 動態(tài)主成分分析 ·························································································.57 3.4.3 獨立成分分析 ·························································································.58 3.4.4 核主成分分析 ··························································································.59 3.4.5 非負矩陣分解 ····························································································.61 3.4.6 稀疏非負矩陣分解 ····················································································.63 3.5 熵方法 ·········································································································.66 3.5.1 能量熵 ····································································································.67 3.5.2 樣本熵 ······································································································.68 3.5.3 排列熵 ····································································································.71 3.5.4 多尺度熵 ··································································································.72 3.6 模式識別法 ·······························································································.73 3.6.1 k 最近鄰域 ·····························································································.73 3.6.2 層次支持向量多分類機 ·········································································.74 3.6.3 多分類相關向量機 ·····················································································.77 3.6.4 隨機森林分類器 ·······················································································.79 3.6.5 稀疏表示分類器 ····························································································.80 參考文獻 ···············································································································.82 第4 章 自確認傳感器技術 ······················································································.85 4.1 概述 ··········································································································.85 4.2 自確認傳感器原理 ·························································································.86 4.2.1 自確認傳感器功能結構模型 ········································································.86 4.2.2 自確認傳感器的輸出參數(shù) ·················································································.88 4.2.3 自確認傳感器的研究內容 ····················································································.89 4.3 常用的自確認傳感器方法 ·········································································.93 4.3.1 傳感器故障檢測與隔離方法 ··········································································.93 4.3.2 傳感器故障診斷方法 ·················································································.95 4.3.3 傳感器故障恢復方法 ··············································································.97 4.3.4 傳感器測量質量評估方法 ·············································································.102 4.4 自確認傳感器結構 ··························································································.107 參考文獻 ··········································································································.110 第5 章 智能聲發(fā)射傳感器及其應用 ········································································.115 5.1 聲發(fā)射信號 ····································································································.115 5.1.1 聲發(fā)射源 ···························································································.115 5.1.2 聲發(fā)射信號基本概念 ·············································································.116 5.1.3 聲發(fā)射信號特征及表征參數(shù) ································································.117 5.2 智能聲發(fā)射傳感器概述 ················································································.119 5.2.1 智能聲發(fā)射傳感器分類 ·············································································.119 5.2.2 智能聲發(fā)射傳感器原理 ··············································································.120 5.2.3 智能聲發(fā)射傳感器結構 ···············································································.121 5.3 智能聲發(fā)射傳感器檢測技術 ·············································································.122 5.3.1 聲發(fā)射技術原理 ······················································································.122 5.3.2 聲發(fā)射信號處理方法 ·················································································.123 5.3.3 聲發(fā)射無損檢測技術的優(yōu)勢及應用 ·····························································.125 5.4 智能聲發(fā)射傳感器在滾動軸承故障檢測中的應用 ··················································.126 5.4.1 故障滾動軸承的聲發(fā)射信號 ····································································.126 5.4.2 故障特征提取 ·························································································.127 5.4.3 滾動軸承聲發(fā)射信號智能故障診斷模型 ····················································.133 參考文獻 ······································································································.142 第6 章 智能化氣體傳感器及其應用 ··································································.143 6.1 氣體傳感器概述 ························································································.143 6.2 智能氣體傳感器精度提升算法 ·········································································.144 6.2.1 氣體傳感器選擇性改善方法 ·····································································.145 6.2.2 氣體傳感器溫/濕度補償方法 ······································································.155 6.3 智能氣體傳感器數(shù)據(jù)恢復方法 ·······································································.160 6.3.1 相關向量機基本理論 ···············································································.160 6.3.2 相關向量機核函數(shù)選擇 ···············································································.162 6.3.3 基于相關向量機的氣體傳感器故障數(shù)據(jù)恢復 ·················································.164 6.4 智能氣體傳感器的故障診斷 ··················································································.168 6.4.1 氣體傳感器故障模式分析 ···············································································.168 6.4.2 氣體傳感器在線故障檢測 ········································································.170 6.4.3 基于核主成分分析的氣體傳感器故障特征提取 ···················································.173 6.4.4 基于多分類相關向量機的氣體傳感器故障診斷 ··························································.176 參考文獻 ···············································································································.179 第7 章 智能壓力傳感器及其應用 ·········································································.180 7.1 壓力傳感器工作原理概述 ···············································································.180 7.2 壓力傳感器的故障模式 ·················································································.180 7.2.1 常見壓力傳感器的故障類型 ·····································································.180 7.2.2 壓力傳感器的故障模式分類 ·······························································.182 7.3 智能壓力傳感器故障診斷方法 ··········································································.182 7.3.1 基于多尺度主成分分析的故障診斷方法 ························································.183 7.3.2 基于小波包的多尺度主成分分析故障診斷方法 ············································.187 7.4 故障診斷方法仿真驗證 ·····················································································.188 7.4.1 基于小波變換的多尺度主成分分析診斷方法仿真驗證 ········································.188 7.4.2 基于小波包的MSPCA 診斷方法仿真驗證 ·······················································.195 7.5 基于徑向基函數(shù)(RBF)神經(jīng)網(wǎng)絡的數(shù)據(jù)恢復方法 ·············································.199 7.5.1 RBF 神經(jīng)網(wǎng)絡原理概述 ·················································································.199 7.5.2 RBF 神經(jīng)網(wǎng)絡結構 ··················································································.200 7.5.3 RBF 神經(jīng)網(wǎng)絡的學習算法 ············································································.201 7.5.4 壓力傳感器數(shù)據(jù)恢復仿真研究 ································································.202 參考文獻 ·····································································································206
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