小波分析在陀螺信号检测中的应用  

Application of Wavelet Analysis on Gyro Signal Detecting

作　　者：沈鹏[1] 徐景硕[1] 杨号 

机构地区：[1]海军航空工程学院青岛分院,山东青岛264001 [2]海装驻阎良地区军事代表室,陕西西安710089

出　　处：《兵工自动化》2007年第10期68-69,共2页Ordnance Industry Automation

摘　　要：基于陀螺漂移信号模型,利用小波分析对含第一类间断点的陀螺漂移信号进行仿真分析。假设系统工作到100s时发生故障,频率发生突变,持续到200s时恢复正常,信号分析采用的小波函数为Daubechies小波。在利用db6小波对信号进行三层分解之前,同样利用小波信号分析技术,采用默认阀值对信号进行消噪处理。实验表明,小波分析技术可即时检测出陀螺发生故障位置和时间,并有效提高陀螺可靠性。Based on the model of gyro excursion signal, Wavelet Analysis simulation and investigation are taken on the signal that contains the first kind mutation points. Suppose the system went wrong （system frequencY saltated at 100s and then recovered at 200s）, the Wavelet function of signal processing is Daubechies Wavelet. Before using the db6 Wavelet for three-layer analysis on the signal, the Wavelet Analysis technique was also used for eliminating noise. Through experiment analysis, Wavelet Analysis technique can instantly test out the location and time that Gyro fault take place, so Gyro reliability could be greatly improved.

关 键 词：小波分析 奇异点 故障检测 陀螺漂移信号:Daubechies小波 

分 类 号：V249.3[航空宇航科学与技术—飞行器设计] TP274.5[自动化与计算机技术—检测技术与自动化装置]