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Incipient Fault Diagnosis of Centrifugal Pumps Using Support Vector Machine with Continuous Wavelet Transform

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s10845-019-01511-xopenalex-extracted

Support vector machines based non-contact fault diagnosis system for bearings

inferredcites →https://doi.org/10.1007/s10921-018-0544-7openalex-extracted

On-line Time Domain Vibration and Current Signals Based Multi-fault Diagnosis of Centrifugal Pumps Using Support Vector Machines

inferredcites →https://doi.org/10.1007/s11668-019-00792-xopenalex-extracted

Model-Based Condition Monitoring for the Detection of Failure of a Ball Bearing in a Centrifugal Pump

inferredcites →https://doi.org/10.1007/s42417-022-00687-6openalex-extracted

Fault Diagnosis of a Centrifugal Pump Using Electrical Signature Analysis and Support Vector Machine

inferredcites →https://doi.org/10.1016/j.asoc.2010.08.011openalex-extracted

Fault diagnosis of ball bearings using continuous wavelet transform

inferredcites →https://doi.org/10.1016/j.compchemeng.2022.107825openalex-extracted

PROAD (Process Advisor): A health monitoring framework for centrifugal pumps

inferredcites →https://doi.org/10.1016/j.compeleceng.2015.04.010openalex-extracted

Crack fault diagnosis of rotor systems using wavelet transforms

inferredcites →https://doi.org/10.1016/j.jestch.2014.04.005openalex-extracted

Fault diagnosis of monoblock centrifugal pump using SVM

inferredcites →https://doi.org/10.1016/j.jestch.2019.01.005openalex-extracted

Fault diagnosis of a centrifugal pump using MLP-GABP and SVM with CWT

inferredcites →https://doi.org/10.1016/j.measurement.2017.04.041openalex-extracted

Time-frequency analysis and support vector machine in automatic detection of defect from vibration signal of centrifugal pump

inferredcites →https://doi.org/10.1016/j.measurement.2018.07.092openalex-extracted

Prediction of flow blockages and impending cavitation in centrifugal pumps using Support Vector Machine (SVM) algorithms based on vibration measurements

inferredcites →https://doi.org/10.1016/j.measurement.2019.07.037openalex-extracted

Experimental fault diagnosis for known and unseen operating conditions of centrifugal pumps using MSVM and WPT based analyses

inferredcites →https://doi.org/10.1016/j.ymssp.2006.12.007openalex-extracted

Support vector machine in machine condition monitoring and fault diagnosis

inferredcites →https://doi.org/10.1016/s0888-3270(03)00020-7openalex-extracted

Gear fault detection using artificial neural networks and support vector machines with genetic algorithms

inferredcites →https://doi.org/10.1088/0964-1726/16/5/056openalex-extracted

A joint wavelet lifting and independent component analysis approach to fault detection of rolling element bearings

inferredcites →https://doi.org/10.1137/1.9781611976373.ch11openalex-extracted

Chapter 11: Support vector machine

inferredcites →https://doi.org/10.3390/e23010119openalex-extracted

Automatic ECG Classification Using Continuous Wavelet Transform and Convolutional Neural Network

inferredcites →https://doi.org/10.3390/machines5040021openalex-extracted

A Review of Feature Extraction Methods in Vibration-Based Condition Monitoring and Its Application for Degradation Trend Estimation of Low-Speed Slew Bearing

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inferred← citeshttps://doi.org/10.4028/p-ylerd5openalex-snapshot

Identification of Cavitation in Centrifugal Pump Using Vibration Analysis Method in Hydro Cracking Complex (HCC) Area

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