Description: 小波神经网络好文章！A method for fault detection is proposed using a trained neural network as the nominal
model of the system to be monitored. Partial physical knowledge, if available, can be combined
with the nominal model to perform fault isolation. Platform: |
Size: 369793 |
Author:troy |
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Description: 小波神经网络好文章！A method for fault detection is proposed using a trained neural network as the nominal
model of the system to be monitored. Partial physical knowledge, if available, can be combined
with the nominal model to perform fault isolation.-WNN good article! A method for fault detection is proposed using a trained neural network as the nominalmodel of the system to be monitored. Partial physical knowledge, if available, can be combinedwith the nominal model to perform fault isolation. Platform: |
Size: 369664 |
Author:troy |
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Description: 故障诊断 基于BP神经网络的故障诊断系统 1生成BP网络2.训练和自适应调整-Fault diagnosis based on BP neural network fault diagnosis system for a generation of BP network 2. Training and adaptive adjustment Platform: |
Size: 1024 |
Author:范范 |
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Description: 齿轮故障识别，能够实现在无拆装状态下的故障检测，基于BP/elman神经网络的齿轮箱故障识别-Gear fault recognition, can achieve without disassembly state of the fault detection, based on the BP/elman neural network of gearbox fault recognition，MATLAB C Platform: |
Size: 1024 |
Author:wangshibo |
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Description: In this work, Artificial Neural Networks are employed in a Fault Detection and Isolation scheme for robotic manipulators. Two networks are utilized: a Multilayer Perceptron is employed to reproduce the manipulator dynamical behavior, generating a residual vector that is classified by a Radial Basis Function Network, giving the fault isolation. Two methods are utilized to choose
the radial unit centers in this network. The first method,
Forward Selection, employs Subset Selection to choose
the radial units from the training patterns. The second employs the Kohonen’s Self-Organizing Map to fix the radial unit centers in more interesting positions.
Simulations employing a two link manipulator and the Puma 560 manipulator indicate that the second method gives a smaller generalization error. Platform: |
Size: 149504 |
Author:fad |
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Description: BP神经网络故障检测，适合初学者看。包括归一化、反归一化处理，文件保存等功能。-BP neural network fault detection, suitable for beginners to see. Including normalization, anti-normalized, save the file and other functions. Platform: |
Size: 1024 |
Author:kevin |
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Description: 本论文以 DSP 和计算机为硬件平台，以小波分析和人工神经网络为理论基础，设计了基于 TMS320F2812 的数据采集模块，对故障识别方法进行了深入研究，实现了电力电缆典型故障的识别。-Based on the hardware platform of DSP system & computer and the theory of wavelet analysis & artificial neural network, this paper designs the data acquisition module by using TMS320F2812. It gives a profound study in fault recognition technology. It achieves fault recognition and classification of the typical power cable fault. Platform: |
Size: 3008512 |
Author:李游原 |
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Description: 此例可采用BP神经网络算法用于设备故障类型的模式识别程序。 本次为变压器故障（均为低压测故障）类型的识别。-This example can be used BP neural network algorithm for pattern recognition procedures for equipment fault type. The identification of the type of transformer fault (both low pressure fault detection). Platform: |
Size: 7168 |
Author:蔡丽桑 |
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Description: 改进的遗传算法优化的BP神经网络，用于电厂数据的异常检测和故障诊断，已验证有效性。(The improved genetic algorithm optimized BP neural network has been validated for power plant data anomaly detection and fault diagnosis.) Platform: |
Size: 23231488 |
Author:十年12345
|
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Description: 基于神经网络的故障检测，首先利用了pca进行了数据预处理，然后输入到神经网络中(In fault detection based on neural network, the data are preprocessed by using pca, and then input into the neural network.) Platform: |
Size: 10123264 |
Author:sun111r |
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Search - fault detection neural network