CAJ | 학술논문

根据强噪声干扰环境下齿轮箱故障非平稳信号是由持续振荡成分(高共振成分)和非持续振荡的瞬态成分(低共振成分)混合而成，且其各成分存在频率重叠而不能利用传统的基于频率不同的方法对其进行有效处理的特点，提出了构造复合 Q 因子基(高 Q 因子基及低 Q 因子基)对故障信号进行处理的方法，对提取齿轮箱各故障的冲击性信号特征取得了良好的效果。仿真信号分析及应用实例分析结果表明了算法的可行性及有效性，为强噪声干扰环境下的机械故障信号提取提供了一种方法。
근거강조성간우배경하치륜상고장비평은신호시유지속진탕성분(고공진성분)화비지속진탕적순태성분(저공진성분)혼합이성，차기각성분존재빈솔중첩이불능이용전통적기우빈솔불동적방법대기진행유효처리적특점，제출료구조복합 Q 인자기(고 Q 인자기급저 Q 인자기)대고장신호진행처리적방법，대제취치륜상각고장적충격성신호특정취득료량호적효과。방진신호분석급응용실례분석결과표명료산법적가행성급유효성，위강조성간우배경하적궤계고장신호제취제공료일충방법。
As the gear-box non-stationary fault information submerged in strong noise environment is a mixture of sustained oscillations and non-oscillatory transients, which are frequency-overlapped and cannot be processed effectively based on frequency, this paper proposes a method that constructs composite Q-factor bases ( high-Q factor base and low-Q factor base) adaptively to process the fault signal, and a favorable effect was achieved in the extraction of the impulse signal characteristics of gear-box faults. The analysis result of simulation data and application examples confirm the feasibility and validity of this method, which provides a separation of mechanical fault signals in strong noise environment.