Urban water demand prediction based on climate change is always challenging for water
utilities because of the uncertainty that results from a sudden rise in water demand due to …

Numerous studies on vibration-based techniques for fault diagnosis of wind turbine
gearboxes operating under nonstationary conditions have been reported. In spite, a review …

To solve the problem of determining the fault damage of rolling bearings, a fault diagnosis
method for intelligent classification of vibration signals with different fault locations and …

Nonstationary variations widely exist in abnormal industrial processes, in which the mean
values and variances of the fault nonstationary variables change with time. Thus, the …

Timely failure detection for bearings is of great importance to prevent economic losses in the
industry. In this article we propose a method based on Convolutional Neural Networks …

Cointegration theory has been effectively applied to SHM. However, there is no work that
has focused on explaining specifically how cointegration can be applied to SHM problems …

Currently, the research on the health state of rotating machinery under time-varying
operating conditions mainly focuses on using a combination of several constant operating …

In order to effectively analyze the fault signals of non-linear and non-stationary rolling
bearings and obtain high-precision fault diagnosis results of rolling bearings, the derivative …

Rolling bearings' operation under variable speed conditions exhibits complex time-varying
modulations and spectral structures, resulting in difficulty in the fault diagnosis. In order to …

为降低装备故障率, 减小停机损失, 提出一种基于协整分析的装备多工况监测与故障诊断方法.
基于监控与数据采集系统采集的数据, 利用随机森林特征选择算法提取与装备故障相关的关键 …