基于LSTM参数实时更新的RUL预测方法 - Matlab在线 - matlabol

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中文说明：

基于LSTM参数实时更新的RUL预测方法。针对传统LSTM模型不能有效利用非生命周期数据建立优良的RUL预测模型和无法合理利用在线数据的问题，提出了一种改进的长短期记忆神经网络（LSTM）方法。。这是一个新颖的想法，并已通过实验验证。

English Description：

Based on the real-time updating of LSTM parameters, the rul prediction method is proposed. Aiming at the problem that traditional LSTM model can not effectively use non life cycle data to establish excellent rul prediction model and can not make rational use of online data, an improved long-term and long-term memory neural network (LSTM) method is proposed.. This is a novel idea and has been verified by experiments.

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Improved-LSTM-master

Improved-LSTM-master\2018会议材料

Improved-LSTM-master\2018会议材料\1611.pdf

Improved-LSTM-master\2018会议材料\2018CCDCCall_for_Papers-cn.pdf

Improved-LSTM-master\2018会议材料\CCDC_en (1).doc

Improved-LSTM-master\2018会议材料\CCDC_en.doc

Improved-LSTM-master\2018会议材料\CCDC_en.rar

Improved-LSTM-master\NASA锂电池数据

Improved-LSTM-master\NASA锂电池数据\B0005.mat

Improved-LSTM-master\NASA锂电池数据\B0006.mat

Improved-LSTM-master\NASA锂电池数据\B0007.mat

Improved-LSTM-master\NASA锂电池数据\B0018.mat

Improved-LSTM-master\NASA锂电池数据\Havedata.m

Improved-LSTM-master\NASA锂电池数据\README.txt

Improved-LSTM-master\NASA锂电池数据\基于数据驱动的卫星锂离子电池寿命预测方法_艾力.pdf

Improved-LSTM-master\NASA锂电池数据\实验结果.docx

Improved-LSTM-master\NASA锂电池数据\锂电池数据说明.doc

Improved-LSTM-master\VISIO文件

Improved-LSTM-master\VISIO文件\HETU.vsdx

Improved-LSTM-master\VISIO文件\LSTM 英文版.vsdx

Improved-LSTM-master\VISIO文件\LSTM.vsdx

Improved-LSTM-master\VISIO文件\LSTMstruction.vsd

Improved-LSTM-master\VISIO文件\RNN.vsdx

Improved-LSTM-master\VISIO文件\improvedLSTM.vsdx

Improved-LSTM-master\VISIO文件\improvedLSTM英文版.vsdx

Improved-LSTM-master\VISIO文件\图片1.png

Improved-LSTM-master\VISIO文件\图片2.png

Improved-LSTM-master\VISIO文件\学习率1.vsdx

Improved-LSTM-master\VISIO文件\绘图1.vsdx

Improved-LSTM-master\公式

Improved-LSTM-master\公式\heji.wmf

Improved-LSTM-master\参考文献

Improved-LSTM-master\参考文献\Prognostics-for-state-of-health-estimation-of-lithium-ion-_2013_Microelectro.pdf

Improved-LSTM-master\参考文献\Robust-prognostics-for-state-of-health-estimation-of-lit_2015_Microelectroni.pdf

Improved-LSTM-master\参考文献\Sampling-based-State-of-Health-estimation-methodology_2015_Journal-of-Power-.pdf

Improved-LSTM-master\参考文献\基于LSTM循环神经网络的故障时间序列预测_王鑫.pdf

Improved-LSTM-master\参考文献\基于数据驱动的卫星锂离子电池寿命预测方法_艾力.pdf

Improved-LSTM-master\参考文献\基于深度学习的多模态故障诊断方法.docx

Improved-LSTM-master\参考文献\锂离子电池寿命预测国外研究现状综述_罗伟林.pdf

Improved-LSTM-master\程序

Improved-LSTM-master\程序\AR.m

Improved-LSTM-master\程序\DATA.mat

Improved-LSTM-master\程序\Data3.m

Improved-LSTM-master\程序\ErrorCost1.mat

Improved-LSTM-master\程序\ErrorCost2.mat

Improved-LSTM-master\程序\ErrorCost3.mat

Improved-LSTM-master\程序\LSTM_data_process.m

Improved-LSTM-master\程序\LSTM_updata_weight.m

Improved-LSTM-master\程序\Producedata.m

Improved-LSTM-master\程序\ReadMe.txt

Improved-LSTM-master\程序\RunLstm.m

Improved-LSTM-master\程序\Unicode.txt

Improved-LSTM-master\程序\bp158.mat

Improved-LSTM-master\程序\data.txt

Improved-LSTM-master\程序\data2.mat

Improved-LSTM-master\程序\lstm_result.mat

Improved-LSTM-master\程序\para.mat

Improved-LSTM-master\程序\untitled2.fig

Improved-LSTM-master\程序\实验结果

Improved-LSTM-master\程序\实验结果\untitled1.fig

Improved-LSTM-master\程序\实验结果\untitled2.fig

Improved-LSTM-master\程序\画柱状图程序

Improved-LSTM-master\程序\画柱状图程序\Untitled.m

Improved-LSTM-master\论文

Improved-LSTM-master\论文\IEEE_Copyright

Improved-LSTM-master\论文\IEEE_Copyright\IEEE_Copyright.pdf

Improved-LSTM-master\论文\IEEE_Copyright\示例.pdf

Improved-LSTM-master\论文\PDF审查后的论文

Improved-LSTM-master\论文\PDF审查后的论文\PID5261609.pdf

Improved-LSTM-master\论文\PDF审查后的论文\认证收条.txt

Improved-LSTM-master\论文\修改意见后

Improved-LSTM-master\论文\修改意见后\RUL Prognostics Method Based on Real Time Updating of LSTM Parameters.doc

Improved-LSTM-master\论文\初稿修改论文

Improved-LSTM-master\论文\初稿修改论文\18ccdc英文第三版-zhou.doc

Improved-LSTM-master\论文\初稿修改论文\中文第一版.docx

Improved-LSTM-master\论文\初稿修改论文\中文第二版.docx

Improved-LSTM-master\论文\初稿修改论文\英文第一版.docx

Improved-LSTM-master\论文\初稿修改论文\英文第三版.doc

Improved-LSTM-master\论文\初稿修改论文\英文第二版.doc

Improved-LSTM-master\论文\初稿提交论文

Improved-LSTM-master\论文\初稿提交论文\RUL Prognostics Method Based on Real Time Updating of LSTM Parameters.doc

Improved-LSTM-master\论文\初稿提交论文\RUL Prognostics Method Based on Real Time Updating of LSTM Parameters.pdf

Improved-LSTM-master\论文\审稿人意见

Improved-LSTM-master\论文\审稿人意见\AE_Comment.txt

Improved-LSTM-master\论文\审稿人意见\Review2182.txt

Improved-LSTM-master\论文\审稿人意见\Review2185.txt

Improved-LSTM-master\论文\审稿人意见\Review2186.txt

Improved-LSTM-master\论文\审稿人意见\中文整体翻译.txt

Improved-LSTM-master\论文\汇款回执

Improved-LSTM-master\论文\汇款回执\TIM图片20180315165140.jpg

Improved-LSTM-master\论文\终稿提交三份材料

Improved-LSTM-master\论文\终稿提交三份材料\IEEE版权表.pdf

Improved-LSTM-master\论文\终稿提交三份材料\PID5261609.pdf

Improved-LSTM-master\论文\终稿提交论文

Improved-LSTM-master\论文\终稿提交论文\RUL Prognostics Method Based on Real Time Updating of LSTM Parameters.doc

Improved-LSTM-master\论文\终稿提交论文\RUL Prognostics Method Based on Real Time Updating of LSTM Parameters.pdf

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