CAJ | 학술논문

为了提取齿轮箱振动信号淹没在强背景噪声中的早期微弱冲击故障信息，先利用不同长度的窗函数的短时傅里叶变换对信号进行稀疏分解，得出初始分解系数，再利用并联基追踪对处理得到的系数进行优化处理，最后对得到的系数进行重构，分别得到信号的持续振荡成分及故障冲击成分，进一步对故障冲击成分分析得出诊断结果。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，为强噪声环境下的机械故障信号提取提供了一种新的思路。
위료제취치륜상진동신호엄몰재강배경조성중적조기미약충격고장신식，선이용불동장도적창함수적단시부리협변환대신호진행희소분해，득출초시분해계수，재이용병련기추종대처리득도적계수진행우화처리，최후대득도적계수진행중구，분별득도신호적지속진탕성분급고장충격성분，진일보대고장충격성분분석득출진단결과。방진신호분석급응용실례분석결과표명료산법적가행성급유효성，위강조성배경하적궤계고장신호제취제공료일충신적사로。
In order to extract the early weak impact fault information in gearbox vibration signal submerged in strong background noise, a new sparse signal decomposition method using dual-BP is proposed. Firstly, the short-time Fourier transform using the window functions with different lengths is adopted to perform the signal sparse decomposition, and the initial decomposition coefficients are obtained; secondly, the dual-BP is used to optimize the obtained decomposition coefficients; lastly, the obtained coefficients are reconstructed, and the sustained oscillation component and the failure impact component of the signal are obtained;further, the failure impact component is analyzed and the diagnose result is obtained. The analysis results of simulation signal and application examples confirm the feasibility and validity of this method, which provides a new idea for the mechanical fault signal extraction in strong noise environment.