Schmidt Stephan, Zimroz Radoslaw, Chaari Fakher, Heyns P Stephan, Haddar Mohamed
Centre for Asset Integrity Management, Department of Mechanical and Aeronautical Engineering, University of Pretoria, Pretoria 0002, South Africa.
Faculty of Geoengineering, Mining and Geology, Wroclaw University of Science and Technology, Na Grobli 15, 50-421 Wroclaw, Poland.
Sensors (Basel). 2020 Apr 9;20(7):2115. doi: 10.3390/s20072115.
Reliable condition indicators are necessary to perform effective diagnosis and prognosis. However, the vibration signals are often corrupted with non-Gaussian noise and rotating machines may operate under time-varying operating conditions. This impedes the application of conventional condition indicators. The synchronous average of the squared envelope is a relatively simple yet effective method to perform fault detection, fault identification and fault trending under constant and time-varying operating conditions. However, its performance is impeded by the presence of impulsive signal components attributed to impulsive noise or the presence of other damage modes in the machine. In this work, it is proposed that the synchronous median of the squared envelope should be used instead of the synchronous average of the squared envelope for gearbox fault diagnosis. It is shown on numerical and experimental datasets that the synchronous median is more robust to the presence of impulsive signal components and is therefore more reliable for estimating the condition of specific machine components.
可靠的状态指标对于进行有效的诊断和预后至关重要。然而，振动信号常常受到非高斯噪声的干扰，并且旋转机械可能在时变工况下运行。这阻碍了传统状态指标的应用。平方包络的同步平均值是一种相对简单但有效的方法，可在恒定和时变工况下进行故障检测、故障识别和故障趋势分析。然而，由于存在归因于脉冲噪声的脉冲信号成分或机器中存在其他损坏模式，其性能受到影响。在这项工作中，提出应使用平方包络的同步中值代替平方包络的同步平均值来进行齿轮箱故障诊断。在数值和实验数据集上表明，同步中值对脉冲信号成分的存在更具鲁棒性，因此对于估计特定机器部件的状态更可靠。
