提出了一种基于多分类支持向量机的齿轮箱故障诊断方法。
A gearbox fault diagnosis method based on multi-class support vector machine was proposed in this paper.
准确地提取各种典型故障的特征是进行齿轮箱故障诊断的关键。
Extracting precisely the vibration characteristics of typical gearbox faults is a key to its diagnosis.
提出了基于线调频基稀疏信号分解的包络阶次谱方法，并将其应用于变速齿轮箱故障诊断之中。
An envelope order spectrum based on multi-scale chirplet and sparse signal decomposition was proposed and applied to the fault diagnosis of gearboxes with rotating speed fluctuation.
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