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.
对齿轮箱做振动测试和分析，通过模式识别找到齿轮箱损坏时呈现的特性，为齿轮箱故障诊断提供依据。
Vibration data acquisition and signal processing has been done for gear box, by criterion of fault model, we find the characteristic of fault gear box and make contribution to fault diagnosis for it.
针对齿轮箱升降速过程中振动信号非平稳的特点，将常规的阶次分析与双谱分析技术相结合，提出了基于阶次双谱的齿轮箱故障诊断方法。
In order to process the non-stationary vibration signals such as speed up or speed down signals effectively, the order bispectrum technique was presented.
针对齿轮箱升降速过程中振动信号非平稳的特点，将阶次跟踪、角域平均和幅值、相位解调分析技术相结合，提出了基于幅值和相位解调分析的齿轮箱故障诊断方法。
In order to process the non-stationary vibration signals such as speed up or speed down signals effectively, the order tracking technique and Angle domain average technique were presented.
振动信号分析是进行齿轮箱状态监测与故障诊断的重要手段。
Vibration signal analysis is widely used in the state monitoring and failure diagnosis of the gear and rolling bearing.
齿轮箱是机械设备的重要传动部件，其故障诊断得到了广泛的重视。
Gearbox is the important transmission component in the mechanical equipments, so much attention has been given to the fault diagnosis technology for it.
提出一种新的自适应时变滤波器设计方法，并将其应用于变速齿轮箱齿轮故障诊断中。
A new method for adaptive time-varying filter design and its application in gearbox fault diagnosis is proposed.
提出一种新的自适应时变滤波器设计方法，并将其应用于变速齿轮箱齿轮故障诊断中。
A new method for adaptive time-varying filter design and its application in gearbox fault diagnosis is proposed.
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