In this paper, classification of spall and crack faults of gear teeth is studied by applying the ensemble empirical mode decomposition(EEMD) for the gear transmission error(TE). Finite element models of the gears with the two faults are built, and TE is obtained by simulation of the gears under loaded contact. EEMD is applied to the residuals of the TE which are the difference between the normal and faulty signal. From the result, the difference of spall and crack faults are clearly identified by the intrinsic mode functions(IMF). A simple test bed is installed to illustrate the approach, which consists of motor, brake and a pair of spur gears. Two gears are employed to obtain the TE for the normal, spalled, and cracked gears, and the type of the faults are separated by the same EEMD application process. In order to quantify the results, crest factors are applied to each IMF. Characteristics of spall and crack are well represented by the crest factors of the first and the third IMF, which are used as the feature signals. The classification is carried out using the Bayes decision theory using the feature signals acquired through the experiments.

본 연구에서는 무단변속시에 사용되며, 세 개의 유성기어로 구성된 복합유성기어가 기어의 회진시 비선형적인 기어의 강성과 감쇠를 고려하여 모델링 되었고, 복합유성기어의 운동 방정식이 유도되었다. 소음과 진동의 원인인 선기어의 중심궤적이 구하여진 상태방정식에 4차 룬게-쿠타 수치해석 방법을 수행함으로써 구하였다.