Forecasting of municipal water demand is essential for the decision-making process in the
water industry in particular for countries that suffered from water scarcity. An accurate …

Condition monitoring of machine is recognized as effective strategy for undertaking the
maintenance in wide variety of industries. Planetary gearbox is a critical component in …

Air compressors are critical for many industries, but early detection of faults is crucial for
kee** them running smoothly and minimizing maintenance costs. This contribution …

Due to the limited fault samples, the accuracy of the bearing fault diagnosis model is
challenged. Therefore, this article proposes a bearing fault diagnosis method based on …

Wavelet Scattering Network Based Bearing Fault Detection | PHM Society European
Conference PHMSociety.org Conferences North America Asia-Pacific Europe Publications …

This paper investigates the autoregressive (AR) model performance in prediction and
forecasting the monthly maximum temperature. The temperature recordings are collected …

In the current study, a moving forecasting model is used for the purpose of forecasting
maximum air temperature. A number of recordings are used for building the AR model and …

In this research, the singular spectrum analysis technique is combined with a linear
autoregressive model for the purpose of prediction and forecasting of monthly maximum air …

Rolling element bearings (REBs) are one of the most critical mechanical components. Their
failures can lead for catastrophic failures which might include great loss in economy or even …

Bearings used in the wind turbine generators (WTGs) will subject to different degrees of
damage during operation, including all kinds of vibration and shock. In this paper, a vibration …