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ID3Algorithm_jianjie
- ID3算法有一定的自学习、自组织能力,适用于复杂系统的智能诊断。以实例验证了该算法对RH-KTB真空抽气系统故障诊断的有效性。-ID3 algorithm to a certain extent self-learning, self-organization, applied to a complex system of intelligent diagnosis. Examples to show that the algorithm of RH - KTB vacuum exhaust s
红外热成像仪在化工行业中的应用
- 本文对红外热成像仪检测技术和应用现状做了简要介绍，通过故障诊断分析的实例，概括地介绍了红外热像技术在特检石化设备检测及故障诊断中的应用。
zhinengguzhangzhenduan
- 详细介绍了人工智能在故障诊断中的应用 有实例-Details of the artificial intelligence in fault diagnosis are examples of
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- 针对传统方法在齿轮故障诊断中可靠性不高的问题,提出了基于证据理论的混合诊断算法。 根据齿轮故障特征向量,采用两个并行的BP神经网络进行局部故障诊断,获得彼此独立的证据。再用 证据理论对各证据进行融合,最终实现对齿轮的故障诊断。实例结果表明,该方法可充分利用各种故障 的冗余和互补信息,有效地提高诊断的可信度。 关键词 证据理论 齿轮 神经网络 故障诊断 -Gear Fault Diagnosis based on Evidence Theory Xiong Wei Chen
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- 针对传统方法在齿轮故障诊断中可靠性不高的问题,提出了基于证据理论的混合诊断算法。根据齿轮故障特征向量,采用两个并行的BP神经网络进行局部故障诊断,获得彼此独立的证据。再用 证据理论对各证据进行融合,最终实现对齿轮的故障诊断。实例结果表明,该方法可充分利用各种故障的冗余和互补信息,有效地提高诊断的可信度。 -For the reason of low-reliability exists in the gear fault diagnosis of traditional methods,
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- 讨论了这种故障诊断方法的诊断性能及其在计算上的复杂度.通过这种方法能够进行故障的寻找和定位,实例分析的结果说明了利用粗糙集进行知识发现及建立智能故障诊断系统的可行性和有效性.-Some work has been done for dealing with Fault Detection and Diagnosis (FDD) based on Rough Set, but in those cases Rough Set was just regarded as a tool for data
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- 讨论了这种故障诊断方法的诊断性能及其在计算上的复杂度.通过这种方法能够进行故障的寻找和定位,实例分析的结果说明了利用粗糙集进行知识发现及建立智能故障诊断系统的可行性和有效性.-Some work has been done for dealing with Fault Detection and Diagnosis (FDD) based on Rough Set, but in those cases Rough Set was just regarded as a tool for data
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- 反向故障诊断的步骤,讨论了这种故障诊断方法的诊断性能及其在计算上的复杂度.通过这种方法能够进行故障的寻找和定位,实例分析的结果说明了利用粗糙集进行知识发现及建立智能故障诊断系统的可行性和有效性.-Some work has been done for dealing with Fault Detection and Diagnosis (FDD) based on Rough Set, but in those cases Rough Set was just regarded as a too
ert
- 行星齿轮的故障诊断实例研究，能够利用实例验证该方法的有效性- application of wavelet detection of planetary gear
bp用于故障实例
- 详细介绍在matlab中怎么样设计bp神经网络的故障诊断(Detailed descr iption of how to design gui interface in MATLAB?)
基于概率神经网络的柴油机故障诊断
- matlab神经网络与实例精解 基于概率神经网络的柴油机故障诊断(Diesel Engine Fault Diagnosis Based on Probabilistic Neural Network)
案例17 SOM神经网络的数据分类--柴油机故障诊断
- 基于SOM神经网络的数据分类实例，用于柴油机故障诊断(An example of data classification based on SOM neural network for fault diagnosis of diesel engine)
fault_diagnosis
- 故障诊断书籍，介绍了机械故障诊断的基本原理，方法和应用，对现代诊断方法，如小波分析、EMD方法进行介绍，并列举了相关应用实例(The fault diagnosis book introduces the basic principles, methods and applications of mechanical fault diagnosis, introduces modern diagnostic methods, such as wavelet analysis and EMD me
模式识别应用于故障诊断
- 将模式识别和机械中的故障诊断结合。结合实例和程序，验证出方法的有效性，内附文档和代码，运行无错误。(Combining pattern recognition with fault diagnosis in machinery.The effectiveness of the method is verified by examples and programs.The artical is attached code and can be run without error.)
immunityFaultDiagnosis
- 人工免疫算法应用到故障诊断领域的实例代码，可以在Matlab中直接运行，可以进行适当的修改，对算法进行改进(The artificial immune algorithm is applied to the case code of the fault diagnosis field. It can be run directly in the Matlab, and can be modified properly to improve the algorithm.)
基于实际数据和Bladed数据对变桨故障模式的诊断
- 基于实际数据和Bladed数据对变桨故障模式的诊断，运用机器学习的方法对大数据进行处理，得到可以表征故障模式的特征。(Based on the actual data and Bladed data for the diagnosis of the variable paddle fault mode, the machine learning method is used to deal with the large data, and the characteristics of the f
基于EMD的包络谱进行故障诊断matlab程序实例
- 对原始信号进行EMD分解及包络解调，得出包络解调谱，分析出故障频率(The original signal is decomposed by EMD and demodulated by envelope. The spectrum of envelope demodulation is obtained and the fault frequency is analyzed.)
基于改进的希尔伯特振动分解的机械故障诊断方法研究
- 针对多分量机械故障振动信号的特征提取问题，介绍一种基于希尔伯特振动分解( HVD) 的时频分析方法。该方法首先利用 Hilbert 变换得到原始振动信号的解析信号，然后通过对解析信号的瞬时频率低通滤波获得信号中幅值最大分量的瞬时频率，同时经同步检测获得相应的瞬时幅值和初相位，最后经过迭代运算自适应地检测出原信号各分量的时频信息。针对 HVD 方法的边界效应问题，提出一种基于相关系数准则的波形匹配边界延拓法对其进行改进。 通过两组仿真信号分析验证了 HVD 方法对多分量非平稳信号的分解能力，同时
概率神经网络故障诊断
- 概率神经网络故障诊断的实例，一个简单的应用，亲测有效，可以完美运行，适合初学者，(An example of probabilistic neural network fault diagnosis, a simple application, pro-test is effective, can run perfectly, suitable for beginners,)
多尺度排列熵
- 多尺度样本熵程序，实例中用于一段轴承故障数据，简单易懂。MultiscalePermutationEntropy函数中的PermutationEntropy也可以单独拎出来计算单个样本熵。(The multi-scale sample entropy program, which is used for a section of bearing fault data in an example, is simple and easy to understand. The permutatione