A method of multiple outputs least squares support vector regression （LS-SVR） was developed and described in detail, with the radial basis function （RBF） as the kernel function. The method was applied to predict t...A method of multiple outputs least squares support vector regression （LS-SVR） was developed and described in detail, with the radial basis function （RBF） as the kernel function. The method was applied to predict the future state of the power-shift steering transmission （PSST）. A prediction model of PSST was gotten with multiple outputs LS-SVR. The model performance was greatly influenced by the penalty parameter γ and kernel parameter σ2 which were optimized using cross validation method. The training and prediction of the model were done with spectrometric oil analysis data. The predictive and actual values were compared and a fault in the second PSST was found. The research proved that this method had good accuracy in PSST fault prediction, and any possible problem in PSST could be found through a comparative analysis.展开更多
随着智能电网的快速发展,智能电表作为智能电网的重要组成部分,其可靠性和稳定性至关重要。电力线通信(Power Line Communication,PLC)是智能电表与电力公司之间进行数据传输的重要手段。然而,由于电力线本身的复杂性和外部干扰,PLC过...随着智能电网的快速发展,智能电表作为智能电网的重要组成部分,其可靠性和稳定性至关重要。电力线通信(Power Line Communication,PLC)是智能电表与电力公司之间进行数据传输的重要手段。然而,由于电力线本身的复杂性和外部干扰,PLC过程中常会发生各种故障。文章研究基于PLC的智能电表通信故障诊断技术,分析常见的故障类型及其成因,提出有效的诊断方法,以提升智能电表通信的可靠性和稳定性。展开更多
文章研究设计了一种基于近场通信(Near Field Communication,NFC)技术的光伏智能电站电气故障诊断系统,旨在解决现有光伏智能电站电气故障诊断精度不高、维修成本高的问题。系统引入了NFC通信模块、智能诊断算法模块以及远程监控与控制...文章研究设计了一种基于近场通信(Near Field Communication,NFC)技术的光伏智能电站电气故障诊断系统,旨在解决现有光伏智能电站电气故障诊断精度不高、维修成本高的问题。系统引入了NFC通信模块、智能诊断算法模块以及远程监控与控制模块,实现了对电气设备的实时监测、远程诊断以及故障预测。实验结果表明,该系统显著提升了电气故障诊断的精度,并有效降低了维修成本,具有广泛的应用前景。展开更多
基金Supported by the Ministerial Level Advanced Research Foundation(3031030)the"111"Project(B08043)
文摘A method of multiple outputs least squares support vector regression （LS-SVR） was developed and described in detail, with the radial basis function （RBF） as the kernel function. The method was applied to predict the future state of the power-shift steering transmission （PSST）. A prediction model of PSST was gotten with multiple outputs LS-SVR. The model performance was greatly influenced by the penalty parameter γ and kernel parameter σ2 which were optimized using cross validation method. The training and prediction of the model were done with spectrometric oil analysis data. The predictive and actual values were compared and a fault in the second PSST was found. The research proved that this method had good accuracy in PSST fault prediction, and any possible problem in PSST could be found through a comparative analysis.
文摘随着智能电网的快速发展,智能电表作为智能电网的重要组成部分,其可靠性和稳定性至关重要。电力线通信(Power Line Communication,PLC)是智能电表与电力公司之间进行数据传输的重要手段。然而,由于电力线本身的复杂性和外部干扰,PLC过程中常会发生各种故障。文章研究基于PLC的智能电表通信故障诊断技术,分析常见的故障类型及其成因,提出有效的诊断方法,以提升智能电表通信的可靠性和稳定性。
文摘文章研究设计了一种基于近场通信(Near Field Communication,NFC)技术的光伏智能电站电气故障诊断系统,旨在解决现有光伏智能电站电气故障诊断精度不高、维修成本高的问题。系统引入了NFC通信模块、智能诊断算法模块以及远程监控与控制模块,实现了对电气设备的实时监测、远程诊断以及故障预测。实验结果表明,该系统显著提升了电气故障诊断的精度,并有效降低了维修成本,具有广泛的应用前景。
