|
Abstract Axis orbit is a kind of important graphic signs to judge whether the rotor is running normally or not, and it is an important target of the condition monitoring of rotating machinery. The operation state of the equipment can be expressed directly and vividly. A new method for intelligent diagnosis of shaft orbit of hydro generator set is presented. This method according to the characteristics of the hydroelectric generating unit, the application of the fuzzy distance measure between features with recent time series, the application of improved intelligent diagnosis on time sequence characteristics of SVM, improve the diagnostic level of automatic fault diagnosis system and accuracy.
|
Received: 24 February 2017
|
|
|
|
[1]N. Bachschmid, P. Pennacchi, and A. Vania, Identification of multiple faults in rotor systems[J]. Journal of Sound and Vibration, 2002,254(2):327-366.[2]王海,郑莉媛. 水轮发电机组轴心轨迹自动识别方法研究[J]. 水力发电学报. 2002,8(3):73-80.[3]Wickerhauser MV. Adapted Wavelet Analysis from Theory to Software[C]. Massachusetts,1994:0-486.[4]倪传坤,周建中等. 基于改进不变矩的发电机组轴心轨迹识别, 电力科学与工程, 2004,(7):16-18.[5]肖辉,胡运发.基于分段时间弯曲距离的时间序列挖掘[J].计算机研究与发展, 2005,42(1):72-78.[6]Maragos P, Harvard Univ, Cambridge, MA. Pattern Spectrum and Multiscale Shape Representation, IEEE Computer Society, 1989, 11(7):701-716.[7]董明,孟源源,徐一长响,等.基于支持向量机及油中溶解气体分析的大型电力变压器故障诊断模型研究[J].中国电机工程学报,2003. 23(7): 88-92.[8]靳晓明,陆玉昌,石纯一,苑森森.时间序列的细微距离发现[J].计算机研究与发展,2000,37(9):1064-1070.[9]David M. Gooda, Craig D.Wenger Adaptive Control and Extended Time-series Distance Method. Automation Electic Power Systems, 2009, 15(9): 793-817.[10]Poyhonen S, Negrea M,Arkkio A,et al. Support vector classification for fault diagnostics of an electrical machine[C].Proceeding of International Conference on Signal Processing(ICSP'02),Beijing,2002.[11]Junfeng Gao, Wengang Shi, Jianxun Tan, et al. Support vector machines based on approach for fault diagnosis of valves in reciprocating pumps[C]. Proceeding of the 2002 IEEE Canadian Conference of Electrical & Computer Engineering, 2002, Winnipeg, 1622-1627.[12]董明,孟源源,徐一长响等.基于支持向量机及油中溶解气体分析的大型电力变压器故障诊断模型研究[J].中国电机工程学报,2003. 23(7): 88-92.[13]曾祥进, 黄心汉, 王敏. 不变矩的改进支持向量机在显微目标识别中的应用研究[J]. ROBOT. 2009,31(2):118-123.[14]白亮,王翰,李辉等.基于时间序列相似性挖掘的水电机组振动故障诊断研究[J].Journal of Hydroelectric Engineering, 2010, 29(6): 229-236.[15]朱跃龙. 水文时间序列模体挖掘[J].水利学报, 2012, 43(12): 1422-1430.[16]Frank J, Mannor S, Pineau J, et al. Time series analysisusing geometric template matching[J]. IEEE Trans onPattern Analysis and Machine Intelligence, 2013, 35(3):740-754.[17]罗开玉,李伯全,王小飞,潘海彬.基于虚拟仪器的机械转子轴心轨迹分析[J]. 江苏大学学报(自然科学版),2008年04期. |
|
|