分数阶混沌系统风电机组间歇故障成长状态检测

INTERMITTENT FAULT GROWING STATE DETECTION OF CHAOTIC SYSTEM WIND TURBINE BASED ON FRACTIONAL ORDER

风电机组的特殊工况使得对其微小间歇故障的检测十分困难,针对该问题提出一种微小间歇故障成长状态检测方法,通过实验寻找微小间歇故障幅值与大尺度周期状态分数阶混沌系统内置信号振幅之间的关系,计算出不同采样时刻微小间歇故障成长因子的值,进而得到微小间歇故障成长率,以此来表征微小间歇故障的发生、成长乃至最终演变成永久性故障的全过程,微小间歇故障成长率同时也反映故障的严重程度,仿真结果证明该方法可行、可靠。该方法可揭示微小间歇故障发生的内部规律,使间歇故障和永久性故障有机联系在一起,为间歇故障的理论研究提供一个新的思路。

Due to wind turbine working at the special environment,it is very difficult to detect the weak intermittent fault.In order to solve this problem,a kind of weak fault growing state detection method is proposed in this paper.First,the relationship between the amplitude of weak intermittent fault and the built-in signal amplitude of the large scale periodic status in the fractional order chaotic system is found through the experiments.Second,the value of the weak intermittent fault growth factor at the different sampling times can be calculated,and then the weak intermittent fault growth rate can be obtained,which can be used to characterize the weak intermittent fault occurrence,growth,and even the whole process that eventually evolved into a permanent fault.At the same time the weak intermittent fault growth rate also reflects the fault severity.Last,the simulation results show that the method is feasible and reliable.This method reveals the internal law of the weak intermittent fault occurrence,makes intermittent fault link with permanent faults,and provides a new idea for the theoretical research of intermittent fault.