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用c#和matlab编写的基于人工免疫的故障检测系统-With c# And matlab prepared based on artificial immune system fault detection
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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
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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
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基于人工免疫算法的故障检测，matlab编程-Fault detection based on artificial immune algorithm, matlab programming
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电机状态检测与故障诊断的matlab算法原理与代码，包含数据-Matlab algorithm principle and code, including the data of motor state detection and fault diagnosis
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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.)
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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.)
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