Tool wear is intimately related to intelligent operation and maintenance of automated
production, workpiece surface quality, dimension accuracy, and tool life. Therefore, it is …

The Tennessee Eastman Process (TEP) is widely recognized as a standard reference for
assessing the effectiveness of fault detection and false alarm tracking methods in intricate …

The extraction of fault resonance bands from a full frequency band has always stood as a
classical and effective strategy for fault diagnosis in rotating machinery. Among the existing …

Permanent magnet synchronous motors (PMSMs) are widely recognized for their precise
control capabilities, making them indispensable in numerous industrial applications. Yet …

Abstract Dispersion Lempel-Ziv complexity (DLZC) is an effective metric of time series
complexity and is widely used in the underwater acoustic field. However, DLZC is not …

Hidden Markov Models (HMMs) have become an immensely popular tool for health
assessment and fault diagnosis of rolling element bearings. The advantages of an HMM …

Dam deformation prediction methods try to make the predicted values infinitely close to the
true values, but no method can capture all the deformation information and residuals are …

Modern businesses use machines extensively, which are essential for running factories. The
machinery must be carefully monitored as it will suffer enormous losses if it suddenly breaks …

In high-altitude areas, the air is thin and the atmospheric pressure is low, which can affect
the performance of centrifugal fans and aerodynamic noise. In this paper, steady and …

Gearboxes, fundamental components in the domains of manufacturing, transportation, and
aerospace apparatus, are highly susceptible to impairments. The emerging technique of non …