摘要随着风电机组的持久工作，发生故障概率也越来越大，为了提高风电机组部件工作的运行效率，加强其安全性，将花费降到最小，并能够认识到部件的错误，了解到机器的运行情况，发掘到风电机组的利用价值，关键是要完善风电机组的监测系统。所以，研究风电机组在线状态的监测系统有着非常重要的实际意义。75585
经过对近几年来的在线监测系统的研究，此次设计利用双DSP芯片，研究设计了一个风电机组在线状态监测系统。系统以DSP TMS320C5402为数据处理核心，能够对采集的温度、转速、振动信号进行时域分析，提取相应的特征，并且实现信息数据采集功能；以TMS320LF2407A为控制芯片，实现数据通信、数据存储及故障诊断功能。双DSP芯片之间的通信是利用DSP的MCBSP缓冲串行接口SPI实现的。
该论文有图27幅，表4个，参考文献30篇。
毕业论文关键词：风电机组 监测系统 双DSP 故障诊断
Wind Turbine Design of Condition Monitoring and Fault Diagnosis System
Abstract Along with durable wind turbine job failure probability is also growing, in order to improve the efficiency of wind turbine components, enhance its security, will minimize the cost and be able to recognize parts of the error, aware of the machine's operation, explore the value of wind turbines, the key is to improve the monitoring of wind turbine systems。 Therefore, the development of wind turbine on-line condition monitoring system has very important practical significance。
Through the research of online monitoring system of which is concluded in recent years, this design uses dual-DSP chip, designed a wind turbine on-line condition monitoring system。 System with DSP core TMS320C5402 for data processing, able to collect temperature, speed, time-domain analysis of the vibration signals, extract the features and information acquisition function controlled by tms320lf2407a chip, data communications, data storage and fault Diagnostics。 Dual DSP chips use DSP for communications between the MCBSP buffered serial interface SPI implementation。
There are 27charts, 4tables, 30 references in the paper。
Key words: wind turbine monitoring systems dual DSP fault
目 录
摘 要 I
Abstract II
目 录 III
1 绪论 1
1。1 课题背景及研究意义 1
1。3 课题研究内容 3
2 风电机组故障分析 4
2。1 风电机组的结构组成及工作原理 4
2。2 风电机组的典型故障 5
2。3 滚动轴承的故障特征 6
2。4 状态监测的基本参数 6
2。5 系统监测点的确定 7
2。6 本章小结 8
3 故障诊断的算法分析 9
3。1 故障算法介绍 9
3。2 BP神经网络 10
3。3 本章小结 12
4 系统硬件设计 13
4。1 系统框图设计 13
4。2 DSP最小系统设计 13
4。3 TMS320LF2407A的最小系统设计 TMS3风电机组状态监测与故障诊断系统设计:http://www.youerw.com/zidonghua/lunwen_86549.html