CAJ | 학술논문

针对傅里叶变换在信号奇异点检测上存在的很多缺点，提出一种基于小波分解的故障特征信号提取方法。介绍了探测线圈法的基本原理，分析了小波变换用于突变信号检测的机理。通过仿真建立发电机转子绕组匝间短路故障的信号模型，并利用小波分解和重构准确地找出信号的突变点。仿真结果验证所提理论的正确性和可行性，为现场早期发现汽轮发电机转子绕组故障和处理故障提供了理论依据。
침대부리협변환재신호기이점검측상존재적흔다결점，제출일충기우소파분해적고장특정신호제취방법。개소료탐측선권법적기본원리，분석료소파변환용우돌변신호검측적궤리。통과방진건립발전궤전자요조잡간단로고장적신호모형，병이용소파분해화중구준학지조출신호적돌변점。방진결과험증소제이론적정학성화가행성，위현장조기발현기륜발전궤전자요조고장화처리고장제공료이론의거。
As the Fourier transform exists many shortcomings in signal singularity detection,a fault feature extrac-tion method based on wavelet decomposition was put forward. This paper introduced the basic principle of the de-tecting coil method analyzed the feasibility of using wavelet transform for detecting the abruptly change signal,es-tablished the generator rotor winding inter turn short-circuit fault signal model by simulation,and identified the sin-gularities of the singal accurately by using wavelet decomposition and reconstruction. The results verified the cor-rectness and feasibility of the proposed theory and provide a theoretical basis for the early detection of the rotor winding faults.