비정상 속도 조건에서의 유성기어 고장 진단을 위한 조인트 분해 분석법

다국어 초록 (Multilingual Abstract)

The vibration signals acquired from the planetary gearboxes are multi-component, amplitude modulated and require more attention to diagnose the localized gear tooth faults. Under nonstationary operating conditions, fault diagnosis of gear becomes more challenging. In this manuscript, a decomposing approach has been proposed to detect the localized gear tooth faults on the basis of oscillations generated by a gear system. The proposed fault diagnosis approach involves joint decomposition using tunable Q-factor wavelet transform (TQWT) and empirical mode decomposition (EMD). The proposed approach has been implemented to detect the planet gear tooth faults from experimentally acquired vibration signals. Adaptive decomposition by both TQWT and EMD has shown the possible extraction of oscillatory tooth vibrations from the raw vibrations. Further, FFT plots of intrinsic mode functions have also revealed the increased.

목차 (Table of Contents)

• Abstract
• 1. 서론
• 2. TQWT 와 EMD 를 통한 신호 분해법
• 3. 유성 기어박스 고장 진단 결과
• 4. 결론
• References