故障预测的应用综述
摘要
针对如今电子电路故障预测技术的不足,阐述了故障预测的多种方法,系统地描述了现有的比较常用的故障预测技术方法,并叙述了其优缺点;最后对故障预测发展的前景进行了展望,指出了该技术领域的一些可行性方法。研究故障预测技术对设备装置的维修和保障具有十分重要的意义。
Aiming at the issue of electronic circuit fault prediction technology, expounds several methods of fault prediction system,describes the prediction technology of the commonly used method of fault, and describes its advantages and disadvantages; Finally the fault forecast development prospect, and points out some feasible methods in the field. The research of fault prediction technology is very important for the maintenance and support of the equipment.
Aiming at the issue of electronic circuit fault prediction technology, expounds several methods of fault prediction system,describes the prediction technology of the commonly used method of fault, and describes its advantages and disadvantages; Finally the fault forecast development prospect, and points out some feasible methods in the field. The research of fault prediction technology is very important for the maintenance and support of the equipment.
引文
[1]蔡桂芳.基于模糊神经网络的故障预测方法研究[J].机电产品开发与创新,2008,21(4):35 36.
[2]王晶,刘建新.基于灰色新预测模式的变压器故障预测[J].华北电力大学学报,2007,34(1):10-14.(Wang J,Liu J X.Transformer fault prediction using new grey prediction model[J].J of North China Electric Power University,2007,34(1):10-14.)
[3]陈雨,张颖伟.基于卡尔曼滤波器的网络控制系统的故障检测[J].电气开关,2010(5):18-20.
[4]莫以为,萧德云.基于进化粒子滤波器的混合系统故障诊断[J].控制与决策,2004,19(6):611 615.Mo Yiwei,Xiao Deyun.Fault diagnosis of hybrid systems based on the evolutionary particle filter[J].Control an Decision,2004,19(6):611-615.(in Chinese)
[5]张磊,李行善,于劲松等.一种基于高斯混合模型粒子滤波的故障预测算法[J].航空学报,2009,30(2):319..324.Zhang Lei,Li Xingshan,Yu Jingsong,etal.Afault prognostic algorithm based on Gaussian mixture model particle filter[J].Act a Aeronauticaet Astronautica Sini.ca,2009,30(2):319..324.(in Chinese)
[6]徐涛,王祁.一种神经网络预测器在传感器故障诊断中的应用[J].传感技术学报,2005,18(2):235 236.
[7]赵春雨、马伦、吕艳军等.基于状态维修过程中的故障预测问题分析[J].计算机与数字工程,2012,40(1):129-131.
[8]陈敏泽,周东华.动态系统的故障预报技术[J].控制理论与应用,2003,20(6):819 823.
[2]王晶,刘建新.基于灰色新预测模式的变压器故障预测[J].华北电力大学学报,2007,34(1):10-14.(Wang J,Liu J X.Transformer fault prediction using new grey prediction model[J].J of North China Electric Power University,2007,34(1):10-14.)
[3]陈雨,张颖伟.基于卡尔曼滤波器的网络控制系统的故障检测[J].电气开关,2010(5):18-20.
[4]莫以为,萧德云.基于进化粒子滤波器的混合系统故障诊断[J].控制与决策,2004,19(6):611 615.Mo Yiwei,Xiao Deyun.Fault diagnosis of hybrid systems based on the evolutionary particle filter[J].Control an Decision,2004,19(6):611-615.(in Chinese)
[5]张磊,李行善,于劲松等.一种基于高斯混合模型粒子滤波的故障预测算法[J].航空学报,2009,30(2):319..324.Zhang Lei,Li Xingshan,Yu Jingsong,etal.Afault prognostic algorithm based on Gaussian mixture model particle filter[J].Act a Aeronauticaet Astronautica Sini.ca,2009,30(2):319..324.(in Chinese)
[6]徐涛,王祁.一种神经网络预测器在传感器故障诊断中的应用[J].传感技术学报,2005,18(2):235 236.
[7]赵春雨、马伦、吕艳军等.基于状态维修过程中的故障预测问题分析[J].计算机与数字工程,2012,40(1):129-131.
[8]陈敏泽,周东华.动态系统的故障预报技术[J].控制理论与应用,2003,20(6):819 823.