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首页> 外文期刊>Mechanical systems and signal processing >A multi-order probabilistic approach for Instantaneous Angular Speed tracking debriefing of the CMMNO'14 diagnosis contest
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A multi-order probabilistic approach for Instantaneous Angular Speed tracking debriefing of the CMMNO'14 diagnosis contest

机译：CMMNO'14诊断比赛瞬时角速度跟踪汇报的多阶概率方法

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摘要

The aim of this work is to propose a novel approach for the estimation of the Instantaneous Angular Speed (IAS) of rotating machines from vibration measurements. This work is originated from the organisation, by the authors of this paper, of a contest during the conference CMMNO 2014, that was held in Lyon, December 2014. One purpose of the contest was to extract the IAS of a wind turbine from a gearbox accelerometer signal. The analysis of contestant contributions led to the observation that the main source of error in this exercise was the wrong association of one selected and tracked harmonic component with one mechanical periodic phenomenon, this association being assumed as an a priori hypothesis by all the methods used by the contestants. The approach proposed in this work does not need this kind of a priori assumption. A majority (but not necessarily all) periodical mechanical events are considered from a preliminary analysis of the kinematics of the machine (harmonics of shaft rotation speeds, meshing frequencies, etc). The IAS is then determined from probability density functions that are constructed from instantaneous spectra of the signal. The efficiency and robustness of the proposed approach are illustrated in the frame of the CMMNO 2014 contest case.
机译：这项工作的目的是提出一种新颖的方法，用于根据振动测量值估算旋转机械的瞬时角速度（IAS）。这项工作源自本文作者组织于2014年12月在里昂举行的CMMNO 2014大会上的一项竞赛。竞赛的目的是从变速箱中提取风力涡轮机的IAS加速度计信号。对参赛者贡献的分析导致观察到，此练习中的主要错误来源是一个选定的和跟踪的谐波分量与一个机械周期性现象的错误关联，该关联被所有方法使用的先验假设所假设。参赛者。在这项工作中提出的方法不需要这种先验的假设。从对机器运动学的初步分析（轴转速的谐波，啮合频率等）的初步分析中考虑了大多数（但不一定是全部）周期性机械事件。然后，根据概率密度函数确定IAS，该概率密度函数由信号的瞬时频谱构成。在CMMNO 2014竞赛案例的框架中说明了所提出方法的效率和鲁棒性。

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