The complex internal structure and heterogeneous composition material of aerospace
equipment make it difficult to apply traditional acoustic emission source localization methods …

Risk assessment is of great significance in industrial production and sustainable
development. Great potential is attributed to machine learning in industrial risk assessment …

The simulation signals generated by the bearing dynamics model have a big gap with the
actual signals, which limits their efficacy in bearing fault diagnosis. Therefore, it is valuable …

This work reports a study aimed at identifying the operating state of gear through an
enhanced multiclass support vector data description (eMSVDD) model where the multiple …

Ultra-precision machine tools are the foundation for ultra-precision manufacturing. In the era
of Industry 4.0, monitoring the machine tool's working condition is critical to control the …

As a hydraulic pump is the power source of a hydraulic system, predicting its remaining
useful life (RUL) can effectively improve the operating efficiency of the hydraulic system and …

Induction machines (IMs) are utilized in different industrial sectors such as manufacturing,
transportation, transmission, and energy due to their ruggedness, low cost, and high …

Advanced mechatronics equipment requires reliable and effective performance degradation
assessment to guarantee long-term operations. Current data-driven predictions endow the …

Due to the changeable operating conditions of rotating machinery, the feature distributions
of fault are usually changed. Most current cross-domain intelligent fault diagnosis methods …

Under variable working conditions, a problem arises, which is that it is difficult to obtain
enough labeled data; to address this problem, an adaptive transfer autoencoder (ATAE) is …