The accuracy of fault diagnosis is an important indicator to ensure the reliability of key
equipment systems. Ensemble learning integrates different weak learning methods to obtain …

Rolling bearings are critical components that are prone to faults in the operation of rotating
equipment. Therefore, it is of utmost importance to accurately diagnose the state of rolling …

Abstract Aluminium (Al) Alloy-6061/TiB 2 was developed with Squeeze casting while varying
composite quantities with titanium diboride (TiB 2). The metallographic structure of the …

In recent years, deep learning (DL) based intelligent fault diagnosis method has been widely
applied in the field of equipment fault diagnosis. However, most of the existing methods are …

3D reconstruction is extremely important in CAD (computer-aided design)/CAE (computer-
aided Engineering)/CAM (computer-aided manufacturing). For interpretability, reinforcement …

Condition monitoring and fault diagnosis have been critical for the optimal scheduling of
machines, improving the system reliability and the reducing maintenance cost. In recent …

It is meaningful to learn fault-related information from multisensor signals automatically and
provide accurate diagnostic results. To further improve the multisensor information fusion …

As a critical high-speed rotating machinery, the centrifugal compressor has been widely
used in various modern industries. However, it is subject to a potential damaging …

With the widespread application of mass customization strategy, estimating the
manufacturing cost of products to provide suitable references for the quotations of products …

With climate warming, numerous thaw settlements have occurred in the Qinghai-Tibet
Plateau (QTP), but their possible distributions and potential risks are still poorly understood …