zhengjiV

MC68340驱动TNT4882，实现GPIB接口通讯(TNT4882 in an MC68340 System)

基于云模型的短期电价预测。一种基于云模型的时间序列预测的新型算法。(Based on cloud model of short-term price forecasting. A cloud-based model of the new algorithm for time series prediction.)

本文介绍了一种自适应信号分解新方法-变分模态分解，并且针对滚动轴承早期故障识别困难这一问题，提出了基于VMD的诊断方法。(In this paper, a new adaptive signal decomposition method, variational mode decomposition, is introduced. Aiming at the problem of early fault identification of rolling bearing, a diagnosis method based on VMD is proposed.)

求解时延微分方程，时延为固定时延，实现多个体的一致性(Solving delay differential equations, delay is a fixed time delay, multi-individual consistency)

说明：  关于ldpc的编解码的相关程序，欢迎大家下载，大家要多多共享资源啊(Ldpc codec on the relevant procedures, are welcome to download, we have to a lot of shared resources ah)

simulink仿真，介绍了基本的虚拟同步发电机仿真模型，应用在分布式电源并网逆变器的控制之中。(Virtual synchronous generator simulation model)

说明：  matlab对支持向量机的操作，解释的较为清晰，具有一定的参考价值。(Matlab operation of support vector machine, the explanation is clearly, and which is useful.)

FPGA和STM32F103的多轴控制硬件设计，包含原理图，PCB(FPGA and STM32F103 multi-axis control hardware design, including schematics, PCB)

变速恒频风力发电系统的空载并网技术在matlab环境下的仿真图(VSCF wind power system load and network environment in the simulation graph matlab)

变分模态分解在信号分解精度和噪声鲁棒性方面具有明显优势，但需预先确定模态数K，而目前K 只能靠先验知识进行预估，如果预估的K 与实际信号存在差异，会导致分解误差较大。针对以上问题，利用EMD 不需预先设定模态数的自适应分解特点，通过对EMD 分解结果的分析，进行VMD 分解模态数的估计，并通过仿真信号分析及滚动轴承故障信息提取(Variational modal decomposition has obvious advantages in signal decomposition accuracy and noise robustness, but it is necessary to determine the modal number K in advance. At present, K can only be predicted by a priori knowledge. If the estimated K exists with the actual signal Differences, will lead to greater decomposition error. In order to solve the above problems, EMD is used to analyze the decomposition results of EMD without pre-setting the adaptive decomposition of modal number. The estimation of VMD decomposition mode is carried out and analyzed by simulation signal and rolling bearing fault information extraction)