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20090226
- 从盲声源信号的独立性出发!提出了一种新的盲声源混合信号分离方法:该方法基于信号联合概率的 分布统计!利用信号联合概率的方向导数熵最小获得最佳的旋转角度!最终实现盲信号分离:与快速独立分 量分析方法及神经网络方法相比!该方法不需要迭代计算:采用新的盲声源信号分离方法对轴承试验台的混 合声音信号进行识别!将电机和滚动轴承的声音分离出来!进而可以准确识别机械的故障-Blind sound source from the independence of the starting signal
labview-bp-guzhangzhendu
- 基于labview及bp神经网络的模拟电路故障诊断系统-Labview bp neural network-based analog circuit fault diagnosis system
bp
- 基于神经网络的变压器故障检测matlab实现-Transformer fault detection based on neural network matlab achieve
py
- BP神经网络用与实现不同故障的分类，对复杂信号模式识别是一种很有效的方法。-BP neural network with the classification of different faults and implementation of complex signal pattern recognition is a very effective method.
youhua-rbf-de-suanfa
- 粒子群算法优化神经网络的参数，应用到故障诊断的应用中去-Parameters particle swarm optimization neural network is applied to fault diagnosis of the application to
BP
- 基于BP神经网络的往复泵轴承故障诊断，自己数据检验可用，希望对大家有所帮助 -Reciprocating pump bearing fault diagnosis based on BP neural network
Diesel-engine-fault-diagnosis
- 基于概率神经网络的柴油机故障诊断,通过建模，最后得到诊断的效果-Diesel engine fault diagnosis based on probabilistic neural network, through modeling, finally got a diagnosis effect
BPrecognition
- 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 detec
pnn
- PNN概率神经网络，用于分类，具体是基于PNN的变压器故障诊断-PNN probabilistic neural network is used to classify the transformer fault diagnosis based on PNN
nfd
- 神经网络故障诊断 可以运行 看说明吧-machinery fault diagnosis ，Various time-frequency analysis methods have been proposed and applied to machinery fault diagnosis.These include linear and bilineartime–frequency representations(e.g.,wavelet transform,Cohen and affine
智能故障诊断与专家系统
- 该书介绍了故障诊断知识处理、征兆获取和诊断求解，故障诊断专家系统、模糊神经网络、神经网络故障诊断专家系统，还包括了完整的神经网络故障专家系统程序集！(This book introduces fault diagnosis knowledge processing, symptom acquisition and diagnosis solution, fault diagnosis expert system, fuzzy neural network, neural network faul