As the concept of Industry 4.0 is introduced, artificial intelligence-based fault analysis is
attracted the corresponding community to develop effective intelligent fault diagnosis and …

A novel approach for identifying the impeller defects in the centrifugal pump has been
demonstrated by extracting the single-valued neutrosophic cross-entropy (SVNCE) of …

The reliable operation of monoblock centrifugal pumps (MCP) is crucial in various industrial
applications. Achieving optimal performance and minimizing costly downtime requires …

This paper proposes a new fault diagnosis method for centrifugal pumps by combining
signal processing with deep learning techniques. Centrifugal pumps facilitate fluid transport …

Reciprocating seals are widely used and are subject to vibration in most applications.
However, the vibration model of the reciprocating seal has not been established, and the …

The health condition of hydraulic axial piston pumps is crucial for the safety and reliability of
hydraulic transmission systems. Diagnosis results of traditional methods indicate the high …

Centrifugal pumps are important equipment in industrial production. At present, vibration
signals are often used to diagnose cavitation in centrifugal pumps, but the vibration signals …

Introduction Intelligent diagnostics is the most important issue in the predictive maintenance
of industrial rotating machinery. Analytical diagnostics tools have been proved effective …

Introduction An effective data-driven bearing fault diagnosis has been moving away from
traditional reliance on statistical features toward a focus on raw time-domain analysis. This …

This work presents a technique for fault detection and identification in centrifugal pumps
(CPs) using a novel fault-specific Mann–Whitney test (FSU Test) and K-nearest neighbor …