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中文摘要：
针对齿轮箱启动过程中振动信号表现为非平稳非高斯特征，传统诊断方法诊断精度不高的现状，将阶次小波包和粗糙集理论引入到轴承的复合故障诊断中，利用计算阶次跟踪算法对瞬态振动信号进行重采样，采用小波包对该信号分解一重构，并对每个频段的能量进行归一化，构成一个特征向量，通过粗糙集理论得到清晰、简明的决策规则。并通过复合故障实例验证了此方法的有效性。
英文摘要：
The vibration signals at start-up in the gearbox are non -stationary signals, and traditional ways of diagnosis have low precision. Order tracking and wavelet packet and rough sets theory are introduced in the compound - fault diagnosis of bearing. First, the vibration signals at start - up were resampled using computer order tracking arithmetic, and wavelet packet is used for equal angle distributed vibration signals decomposition and reconstruction. Second, energy distribution of every frequency band can be calculated according to normalization process. A new feature vector and clear and concise decision rules can be obtained by rough sets theory. Finally, the result of compound - fault example proves that the proposed method has high validity.
同期刊论文项目
同项目期刊论文
Gear fault detection and diagnosis under speed-up condition based on order cepstrum and radial basis
Theoretical and experimental investigation of the effect of cutter with irregular pitch on vibration
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