数字化热像发动机叶片主动红外故障检测算法

Fault Detection Algorithm of Turbine Engine Active Infrared Based on Digital Thermal Imaging Technology

提出了一种改进的数字化热像航空涡轮发动机的主动红外故障检测方法,通过数字化的热像仪可以对检测数据进行数字化分析,判断故障的类型与故障的位置。采用主动红外故障检测方法的热激励源可以采用多种方式进行,使得检测的对象可以为整块的平面,仿真测试结果表明随着散热系数的不同,导致堵塞处在热像仪的拍摄中出现了明显的温度变化,从而确定了叶片散热通道的堵塞位置,成功地进行了故障判断。主动红外故障检测方法具有较强的航空涡轮叶片故障检测能力,具有广泛的应用前景。

An improved active infrared fault detection method of aviation turbine engine is proposed based on digital thermal imaging technology, the detected data can be analyzed in digital with digital thermal imaging device. It is easy to judgethe fault type and fault location. The heat source of active infrared fault detection method can use a variety of ways, so thedetection of object can be the whole plane. The simulation results show that the heat transfer coefficients are different, resulting in clogging in the variable temperature thermal imager shots, blocking position blade cooling channel can be determined the successfully ant the faul can be detected precisely. Active infrared fault detection method has nice the fault detection ability, and the algorithm has wide application prospect in practice.