Abstract Intelligent Fault-Tolerant Control (IFTC) refers to the applications of machine
learning algorithms for fault diagnosis and design of Fault-Tolerant Control (FTC). The …

In fault diagnosis, machine learning theories are gaining popularity as they proved to be an
efficient tool that not only reduces human effort but also identifies the health conditions of the …

With the booming development of modern industrial technology, rotating machinery fault
diagnosis is of great significance to improve the safety, efficiency and sustainable …

The monoblock centrifugal pump (MCP) is widely utilized in a diverse range of applications
encompassing residential and industrial usage. Sectors such as agriculture, civil projects …

This study introduces an innovative approach for fault diagnosis of a multistage centrifugal
pump (MCP) using explanatory ratio (ER) linear discriminant analysis (LDA). Initially, the …

Abstract Knowledge graph as a powerful tool for knowledge organization and
representation, can integrate scattered data into a unified knowledge network, enabling …

Firefighting pumps are a critical component of the firefighting system, which directly affects
the safety operation of the buildings. Current fault-diagnosing methods for firefighting pumps …

If a centrifugal impeller is in deep stall, it requires a large amount of additional energy to
break free. As such, it is crucial to study the prediction method of impeller stall and establish …

Bearings represent crucial components within rotating machinery, and unexpected failures
can lead to significant damage and unplanned breakdowns. This paper introduces a novel …

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 …