This paper proposes an intelligent framework for the fault diagnosis of centrifugal pumps
(CPs) based on wavelet coherence analysis (WCA) and deep learning (DL). The fault …

This paper presents a novel framework for classifying ongoing conditions in centrifugal
pumps based on signal processing and deep learning techniques. First, vibration signals …

This paper proposes a novel technique for leak detection and localization in industrial fluid
pipelines. Artificial intelligence-based supervised methods are a popular adoption for …

This study proposes a fault diagnosis method (FD) for multistage centrifugal pumps (MCP)
using informative ratio principal component analysis (Ir-PCA). To overcome the interference …

A novel intelligent centrifugal pump (CP) fault diagnosis method is proposed in this paper.
The method is based on the contrast in vibration data obtained from a centrifugal pump (CP) …

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 compressors and centrifugal pumps are rotating machines used in industry,
where fault detection is crucial for avoiding unnecessary and costly downtime. A novel …

In the present work, the design and the implementation of a Fault Detection and Isolation
(FDI) system for an industrial machinery is proposed. The case study is represented by a …

Data-driven mechanical fault diagnosis has been successfully developed in recent years,
and the task of training and testing data from the same distribution has been well-solved …

A new framework for the fault diagnosis of centrifugal pumps (CP) is presented in this paper.
Time domain (TD) features obtained from the vibration signal (VS) of the CP are vulnerable …