The high applicability of the electrical motor has led to gain attention in condition monitoring
to diagnosis the most common type of fault in this machine, bearing element. The …

With the continuous development of intelligent manufacturing, mechanical equipment is
develo** in the direction of large-scale, integration, precision and intelligence. The …

Simultaneous fault type and severity identification is critical for timely maintenance actions to
prevent accidents from industrial machinery. The former can indicate occurrences of specific …

It is difficult to obtain sufficient data for some machines, in addition, different working
conditions result in different distributions of training data and test data, which lead to the …

Large amounts of labelled vibration data of rolling bearings are difficult to acquire in full
during operating conditions under varying loads. Moreover, a large divergence in data …

Timely detection and diagnosis of problems in power equipment (PE) is one of the key
means to ensure the safe operation of the power grid. In the context of the big data era, how …

In this study, an optimized long short-term memory (LSTM) network is proposed to predict
the reliability and remaining useful life (RUL) of rolling bearings based on an improved …