Description: 自己编写的粒子滤波的源码,用于故障诊断,是MATLAB语言写的,-their preparation of the particle filter source for fault diagnosis, is written in MATLAB. Platform: |
Size: 74752 |
Author:zql |
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Description: 自己编写的比较全面的故障诊断matlab函数程序，包括统计法、时域法、时间序列法、频谱及功率普密度函数、小波分析法程序中有详细的说明。-their preparation of a more comprehensive fault diagnosis Matlab function procedures, including statistics, time domain, time series, and power spectral density function Pronk, wavelet analysis procedures are described in detail. Platform: |
Size: 17408 |
Author:suzhixiao |
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Description: 一个用matlab编写的用于故障诊断的源程序，可用于故障的简单诊断，工学习和参考用。-a prepared using Matlab for fault diagnosis of the source can be used in a simple fault diagnosis, work study and reference. Platform: |
Size: 15360 |
Author:王悟 |
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Description: Hilbert-Huang Transformmatlab程序，及word版程序详单，这种算法用于机械行业故障诊断-Hilbert-Huang Transformmatlab procedures, and single-word version of the procedure in detail, the algorithm for fault diagnosis of machinery industry Platform: |
Size: 431104 |
Author:刘明 |
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Description: The software implements particle filtering and Rao Blackwellised particle filtering for conditionally Gaussian Models. The RB algorithm can be interpreted as an efficient stochastic mixture of Kalman filters. The software also includes efficient state-of-the-art resampling routines. These are generic and suitable for any application. For details, please refer to Rao-Blackwellised Particle Filtering for Fault Diagnosis and On Sequential Simulation-Based Methods for Bayesian Filtering After downloading the file, type "tar -xf demo_rbpf_gauss.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab and run the demo.
-The software implements particle filtering and Rao Blackwellised particle filtering for conditionally Gaussian Models. The RB algorithm can be interpreted as an efficient stochastic mixture of Kalman filters. The software also includes efficient state-of-the-art resampling routines. These are generic and suitable for any application. For details, please refer to Rao-Blackwellised Particle Filtering for Fault Diagnosis and On Sequential Simulation-Based Methods for Bayesian Filtering After downloading the file, type "tar-xf demo_rbpf_gauss.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab and run the demo.
Platform: |
Size: 202752 |
Author:晨间 |
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Description: 基于特征方向法的故障诊断程序，毕业设计很好用的！-Based on the characteristics of the direction of the law of fault diagnosis procedures, graduation design good use! Platform: |
Size: 38912 |
Author:邢斌 |
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Description: 齿轮故障诊断源代码，特别是针对点蚀故障，主要利用小波削噪功能检测微弱故障信号-Gear fault diagnosis source code, especially for pitting failure, the main use of wavelet noise reduction function weak fault signal Platform: |
Size: 1024 |
Author:wang |
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Description: 利用RBF进行时间序列的预测，可用于故障诊断中的参数估计和预测-Use of RBF for time series prediction can be used for fault diagnosis of parameters estimates and projections Platform: |
Size: 19456 |
Author:吴娟 |
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Description: rbf神经网络在变压器故障诊断中的应用，程序完整，希望大家能够用的上~-rbf neural network in the transformer fault diagnosis, procedural integrity, and hope that we can use the ~ Platform: |
Size: 1024 |
Author:魔夏 |
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Description: 用来实现matlab的BP算法，以齿轮箱故障诊断为例-Matlab used for the BP algorithm to fault diagnosis of gearbox as an example Platform: |
Size: 216064 |
Author:baiqinghong |
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Description: 在机械故障诊断中，采集数据和进行信号处理，利用MATLAB实现滚动轴承的状态监测-Mechanical fault diagnosis, data collection and signal processing, using MATLAB to achieve the status of monitoring of rolling bearings Platform: |
Size: 1024 |
Author:陈佳 |
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Description: 基于模型的设计课程是一系列自定进度的学习模块, 旨在培养混合动力电动汽车背景下基于模型的设计的基本理解。在本课程中, 基于模型的设计被定义为在复杂系统 (如车辆动力总成) 中开发物理系统和控制器数学模型的方法。本课程的目的是通过开发基本模型来建立对复杂系统的理解, 这些模型可以修改, 以纳入更复杂的行为。监控与故障诊断是该系列的第三门课程。介绍了推进转矩控制和发电机控制模型的应用, 介绍了电池充电状态调节的监控, 并讨论了故障诊断方法。(The Model-Based Design Curriculum is a series of self-paced learning modules aimed at developing a basic understanding of Model-Based Design within the context of hybrid electric vehicles. In this course, Model-Based Design is defined as a method for developing mathematical models for physical systems and controllers in complex systems such as a vehicle powertrain. The intent of this course is to build understanding of complex systems through the development of basic models that can be modified to incorporate more complex behaviors. Supervisory Control & Fault Diagnosis is the third course in the series. It introduces the use of models for developing propulsive torque control and generator/engine control, describes supervisory control for battery state-of-charge regulation, and also discusses methods for fault diagnosis.) Platform: |
Size: 2665472 |
Author:淡定浅笑 |
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