本书介绍了全息谱、全息动平衡、独立分量／主分量、质量保障与优化、小波分析、遗传算法、贝叶斯网络、支持向量机、模糊理论、神经网络、专家系统、监测预报、Wigner分布等内容，适合大学相关专业的教师、研究生，以及从事机械故障诊断研究的科研人员阅读。

本书全文收录了中国工程院院士屈梁生的166篇高水平论文。内容涉及全息谱、全息动平衡、独立分量／主分量、质量保障与优化、小波分析、遗传算法、贝叶斯网络、支持向量机、模糊理论、神经网络、专家系统、监测预报、Wigner分布、噪声抑制、回归分析、信息化生产、粗糙集、决策表／决策树、循环统计、统计模拟、EMD、故障诊断理论与方法等。另附有345篇论文的总篇目、论文主题索引和研究对象索引三个附录。

本书适合大学相关专业的教师、研究生，以及从事机械故障诊断研究的科研人员阅读。

屈梁生院士简介

序

机床自动停刀机构精度的研究

热变形对导轨磨削精度的影响

计量光栅的几何、光学特性

评几项超微米技术的进展

自回归谱在机器故障诊断中的应用

时间序列分析在机器状态识别中的应用

On—line Surveillance of Process Equipment Using Autoregressive Feature Extraction and Walsh Transformation

KULLBACK—LEIBLER信息数在识别机器振动信号功率谱中的应用

An ExDerimental Research on Optical Fiber Sensor and Its Application to the Grinding Process Supervision

机器故障诊断技术及其现状与展望

The Evaluation of Low—Frequency Knock of Precise Gearbox Via Spectra Distance Measure

Autoregressive Cepstrum and Its Application in Noise Diagnosis of Gearboxes

On—line Surveillance of a Grinding Process Via a Kullback-Leibler Information Number

Statistical Control of Low Frequency Knock in Machine Tool Gearbox Production

光纤传感器及其在磨削过程监测中的应用

The Thermal Behavior of Machine Tool Guidways

The Application of Maximum Entropy Spectrum in Analysis of the Accuracy 0．f Precision Gear Transmission

The Evaluation of Low—frequency Knock in the Gearbox of Modern Machine Tools

Friction Failure Diagnosis of Steam Turb0—Generator Sets Via Principal Components and

Autoregressive Technique

Grinding Process Supervision Via Information Distance Measure

A New Approach to Computer—aided Vibration Surveillance of Rotating Machinery

Discovering the Holospectrum

The H010spectrum：A New Method for Rotor Surveillance and Diagnosis

专家系统中知识一致性和完备性检验的一种方法

The Holospectrum：A New FFT Based Rotor Diagnostic Method

A New Me!thod Evaluating Operating Condition for Rotating Machinery

Time—frequencv Distributions of Vibration Signals in Rotating Machinery

A Rule—based ExPert System for Real—Time Gear—manufacturing Process Control

回转机械振动频谱的模糊分类及应用

The Phase Information in the Rotor Vibration Behaviour Analysis

Investigation of the Special Trending Method for Rotating Machinery Monitorin9

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