智能传感器理论基础及应用书籍 电子工业出版社 下载 pdf 百度网盘 epub 免费 2025 电子书 mobi 在线

智能传感器理论基础及应用书籍 电子工业出版社精美图片
》智能传感器理论基础及应用书籍 电子工业出版社电子书籍版权问题 请点击这里查看《

智能传感器理论基础及应用书籍 电子工业出版社书籍详细信息

  • ISBN:9787121402517
  • 作者:暂无作者
  • 出版社:暂无出版社
  • 出版时间:2020-12
  • 页数:暂无页数
  • 价格:53.00
  • 纸张:胶版纸
  • 装帧:平装-胶订
  • 开本:16开
  • 语言:未知
  • 丛书:暂无丛书
  • TAG:暂无
  • 豆瓣评分:暂无豆瓣评分
  • 豆瓣短评:点击查看
  • 豆瓣讨论:点击查看
  • 豆瓣目录:点击查看
  • 读书笔记:点击查看
  • 原文摘录:点击查看
  • 更新时间:2025-01-20 04:07:20

内容简介:

本书系统、全面地阐述了智能传感器理论基础及应用技术,全书内容共7 章,第1 章绪论,介绍智能 传感器的历史背景及发展现状;第2 章智能传感器智能化功能及其实现技术,重点介绍智能传感器的基本功能、数据处理方式及其实现途径;第3 章智能传感器信息处理技术,介绍预测滤波器、时-频分析法、数据驱动法、熵方法、模式识别法5 种智能传感器信息处理技术;第4 章自确认传感器技术,介绍自确认传感器原理、结构、自确认传感器方法、主要功能;第5 章智能声发射传感器及其应用,介绍智能声发射传感器检测术及其在轴承故障诊断系统中的应用;第6 章智能气体传感器及其应用,介绍智能气体传感器技术及其在大气污染物检测中的应用;第7 章智能压力传感器及其应用,介绍智能压力传感器技术及其在火箭发动机试验台系统中的应用。


书籍目录:

目 录

第1 章 绪论 ···············································································································.1

1.1 传感器技术概述 ································································································.1

1.2 现代传感器技术 ···································································································.2

1.2.1 现代传感器技术特征 ····················································································.2

1.2.2 集成/固态传感器的特点 ··············································································.2

1.3 智能传感器概述 ······································································································.3

1.3.1 智能传感器的定义 ························································································.3

1.3.2 智能传感器的特点 ·····························································································.5

1.3.3 智能传感器的组成 ·····························································································.6

1.3.4 智能传感器的形式 ···························································································.7

1.3.5 传感器智能化的途径 ·························································································.8

1.3.6 智能传感器的发展及趋势······················································································.8

1.3.7 智能传感器的开发重点 ························································································.9

1.4 智能传感器中的软件方法 ························································································.9

1.4.1 软件子模块 ·······································································································.10

1.4.2 预处理 ··············································································································.10

1.4.3 状态监测与故障检测模块 ······················································································.11

1.5 智能传感器的实现方式 ··························································································.12

1.5.1 非集成化智能传感器 ···················································································.12

1.5.2 集成化智能传感器 ·······················································································.12

1.5.3 智能传感器混合集成 ·······················································································.13

参考文献 ·················································································································.14

第2 章 智能传感器智能化功能及其实现技术 ·····························································.15

2.1 智能传感器的基本功能 ······················································································.15

2.1.1 智能传感器的自检技术 ··················································································.15

2.1.2 智能传感器的自动校准技术 ··········································································.20

2.1.3 智能传感器的量程自动转换技术········································································.23

2.1.4 智能传感器的标度变换技术 ··············································································.26

2.2 智能传感器测量数据处理 ·····················································································.28

2.2.1 测量数据的非数值处理 ·····················································································.28

2.2.2 系统误差的数据处理 ·······················································································.33

2.2.3 随机误差的数据处理 ·················································································.42

参考文献 ···········································································································.45

第3 章 智能传感器信息处理技术 ···········································································.46

3.1 概述 ·············································································································.46

3.2 预测滤波器 ····································································································.46

3.2.1 多项式预测滤波器 ··············································································.46

3.2.2 灰色预测滤波器 ····························································································.47

3.3 时–频分析法 ·········································································································.50

3.3.1 小波包分析 ·································································································.50

3.3.2 经验模态分解 ····························································································.51

3.3.3 集合经验模态分解 ·······················································································.52

3.3.4 互补集合经验模态分解 ···············································································.54

3.4 数据驱动法 ····································································································.55

3.4.1 主成分分析 ································································································.55

3.4.2 动态主成分分析 ·························································································.57

3.4.3 独立成分分析 ·························································································.58

3.4.4 核主成分分析 ··························································································.59

3.4.5 非负矩阵分解 ····························································································.61

3.4.6 稀疏非负矩阵分解 ····················································································.63

3.5 熵方法 ·········································································································.66

3.5.1 能量熵 ····································································································.67

3.5.2 样本熵 ······································································································.68

3.5.3 排列熵 ····································································································.71

3.5.4 多尺度熵 ··································································································.72

3.6 模式识别法 ·······························································································.73

3.6.1 k 最近邻域 ·····························································································.73

3.6.2 层次支持向量多分类机 ·········································································.74

3.6.3 多分类相关向量机 ·····················································································.77

3.6.4 随机森林分类器 ·······················································································.79

3.6.5 稀疏表示分类器 ····························································································.80

参考文献 ···············································································································.82

第4 章 自确认传感器技术 ······················································································.85

4.1 概述 ··········································································································.85

4.2 自确认传感器原理 ·························································································.86

4.2.1 自确认传感器功能结构模型 ········································································.86

4.2.2 自确认传感器的输出参数 ·················································································.88

4.2.3 自确认传感器的研究内容 ····················································································.89

4.3 常用的自确认传感器方法 ·········································································.93

4.3.1 传感器故障检测与隔离方法 ··········································································.93

4.3.2 传感器故障诊断方法 ·················································································.95

4.3.3 传感器故障恢复方法 ··············································································.97

4.3.4 传感器测量质量评估方法 ·············································································.102

4.4 自确认传感器结构 ··························································································.107

参考文献 ··········································································································.110

第5 章 智能声发射传感器及其应用 ········································································.115

5.1 声发射信号 ····································································································.115

5.1.1 声发射源 ···························································································.115

5.1.2 声发射信号基本概念 ·············································································.116

5.1.3 声发射信号特征及表征参数 ································································.117

5.2 智能声发射传感器概述 ················································································.119

5.2.1 智能声发射传感器分类 ·············································································.119

5.2.2 智能声发射传感器原理 ··············································································.120

5.2.3 智能声发射传感器结构 ···············································································.121

5.3 智能声发射传感器检测技术 ·············································································.122

5.3.1 声发射技术原理 ······················································································.122

5.3.2 声发射信号处理方法 ·················································································.123

5.3.3 声发射无损检测技术的优势及应用 ·····························································.125

5.4 智能声发射传感器在滚动轴承故障检测中的应用 ··················································.126

5.4.1 故障滚动轴承的声发射信号 ····································································.126

5.4.2 故障特征提取 ·························································································.127

5.4.3 滚动轴承声发射信号智能故障诊断模型 ····················································.133

参考文献 ······································································································.142

第6 章 智能化气体传感器及其应用 ··································································.143

6.1 气体传感器概述 ························································································.143

6.2 智能气体传感器精度提升算法 ·········································································.144

6.2.1 气体传感器选择性改善方法 ·····································································.145

6.2.2 气体传感器温/湿度补偿方法 ······································································.155

6.3 智能气体传感器数据恢复方法 ·······································································.160

6.3.1 相关向量机基本理论 ···············································································.160

6.3.2 相关向量机核函数选择 ···············································································.162

6.3.3 基于相关向量机的气体传感器故障数据恢复 ·················································.164

6.4 智能气体传感器的故障诊断 ··················································································.168

6.4.1 气体传感器故障模式分析 ···············································································.168

6.4.2 气体传感器在线故障检测 ········································································.170

6.4.3 基于核主成分分析的气体传感器故障特征提取 ···················································.173

6.4.4 基于多分类相关向量机的气体传感器故障诊断 ··························································.176

参考文献 ···············································································································.179

第7 章 智能压力传感器及其应用 ·········································································.180

7.1 压力传感器工作原理概述 ···············································································.180

7.2 压力传感器的故障模式 ·················································································.180

7.2.1 常见压力传感器的故障类型 ·····································································.180

7.2.2 压力传感器的故障模式分类 ·······························································.182

7.3 智能压力传感器故障诊断方法 ··········································································.182

7.3.1 基于多尺度主成分分析的故障诊断方法 ························································.183

7.3.2 基于小波包的多尺度主成分分析故障诊断方法 ············································.187

7.4 故障诊断方法仿真验证 ·····················································································.188

7.4.1 基于小波变换的多尺度主成分分析诊断方法仿真验证 ········································.188

7.4.2 基于小波包的MSPCA 诊断方法仿真验证 ·······················································.195

7.5 基于径向基函数(RBF)神经网络的数据恢复方法 ·············································.199

7.5.1 RBF 神经网络原理概述 ·················································································.199

7.5.2 RBF 神经网络结构 ··················································································.200

7.5.3 RBF 神经网络的学习算法 ············································································.201

7.5.4 压力传感器数据恢复仿真研究 ································································.202

参考文献 ·····································································································206


作者介绍:

暂无相关内容,正在全力查找中


出版社信息:

暂无出版社相关信息,正在全力查找中!


书籍摘录:

暂无相关书籍摘录,正在全力查找中!



原文赏析:

暂无原文赏析,正在全力查找中!


其它内容:

暂无其它内容!


书籍真实打分

  • 故事情节:4分

  • 人物塑造:4分

  • 主题深度:7分

  • 文字风格:5分

  • 语言运用:7分

  • 文笔流畅:5分

  • 思想传递:7分

  • 知识深度:3分

  • 知识广度:7分

  • 实用性:7分

  • 章节划分:3分

  • 结构布局:3分

  • 新颖与独特:4分

  • 情感共鸣:4分

  • 引人入胜:6分

  • 现实相关:5分

  • 沉浸感:4分

  • 事实准确性:5分

  • 文化贡献:9分


网站评分

  • 书籍多样性:5分

  • 书籍信息完全性:3分

  • 网站更新速度:6分

  • 使用便利性:7分

  • 书籍清晰度:8分

  • 书籍格式兼容性:4分

  • 是否包含广告:6分

  • 加载速度:7分

  • 安全性:9分

  • 稳定性:6分

  • 搜索功能:6分

  • 下载便捷性:9分


下载点评

  • 无漏页(391+)
  • 已买(337+)
  • 速度快(68+)
  • 不亏(597+)
  • 五星好评(501+)
  • 好评多(171+)
  • mobi(618+)
  • 二星好评(460+)
  • 在线转格式(590+)
  • 体验满分(441+)

下载评价

  • 网友 师***怀: ( 2025-01-12 04:15:05 )

    好是好,要是能免费下就好了

  • 网友 詹***萍: ( 2025-01-02 06:04:45 )

    好评的,这是自己一直选择的下载书的网站

  • 网友 訾***雰: ( 2025-01-12 19:53:52 )

    下载速度很快,我选择的是epub格式

  • 网友 养***秋: ( 2025-01-18 21:49:12 )

    我是新来的考古学家

  • 网友 戈***玉: ( 2025-01-10 02:15:34 )

    特别棒

  • 网友 利***巧: ( 2025-01-07 10:49:42 )

    差评。这个是收费的

  • 网友 汪***豪: ( 2025-01-10 18:25:12 )

    太棒了,我想要azw3的都有呀!!!

  • 网友 訾***晴: ( 2025-01-01 19:30:10 )

    挺好的,书籍丰富

  • 网友 宓***莉: ( 2024-12-23 05:31:41 )

    不仅速度快,而且内容无盗版痕迹。

  • 网友 后***之: ( 2025-01-18 03:25:53 )

    强烈推荐!无论下载速度还是书籍内容都没话说 真的很良心!

  • 网友 孙***夏: ( 2025-01-12 07:36:42 )

    中评,比上不足比下有余

  • 网友 曹***雯: ( 2025-01-15 16:58:21 )

    为什么许多书都找不到?

  • 网友 田***珊: ( 2025-01-07 18:22:57 )

    可以就是有些书搜不到

  • 网友 曾***玉: ( 2025-01-16 06:20:51 )

    直接选择epub/azw3/mobi就可以了,然后导入微信读书,体验百分百!!!

  • 网友 曾***文: ( 2025-01-06 10:14:32 )

    五星好评哦


随机推荐