Research graph
References from Fault diagnosis of monoblock centrifugal pump using SVM. Local targets link to admitted publications; unresolved targets remain external evidence.
Fault diagnosis of centrifugal pump using symptom parameters in frequency domain
2007 · External reference
A comparative study of Naïve Bayes classifier and Bayes net classifier for fault diagnosis of monoblock centrifugal pump using wavelet analysis
10.1016/j.asoc.2012.03.021 · 2012 · External reference
Wavelet decomposition and support vector machine for fault diagnosis of monoblock centrifugal pump
10.1504/ijdats.2011.039849 · 2011 · External reference
A novel hybrid intelligent method based on C4.5 decision tree classifier and one-against-all approach for multi-class classification problems
10.1016/j.eswa.2007.11.051 · 2009 · External reference
Selection of discrete wavelets for fault diagnosis of monoblock centrifugal pump using the J48 algorithm
10.1080/08839514.2012.721694 · 2013 · External reference
A combined method for triplex pump fault diagnosis based on wavelet transform, fuzzy logic and neuro-networks
10.1016/s0888-3270(03)00049-9 · 2004 · External reference
Vibration-based fault diagnosis of pump using fuzzy technique
10.1016/j.measurement.2005.07.015 · 2006 · External reference
Fault diagnosis of rotating machinery based on auto associative neural networks and wavelet transforms
10.1016/j.jsv.2007.01.006 · 2007 · External reference
Feature extraction using wavelets and classification through decision tree algorithm for fault diagnosis of mono-block centrifugal pump
10.1016/j.measurement.2012.07.007 · 2013 · External reference
Fault diagnosis of rotating machinery based on the statistical parameters of wavelet packet paving and a generic support vector regressive classifier
10.1016/j.measurement.2012.12.011 · 2013 · External reference
A novel fault diagnosis model for gearbox based on wavelet support vector machine with immune genetic algorithm
10.1016/j.measurement.2012.06.009 · 2013 · External reference
Blind vibration component separation and nonlinear feature extraction applied to the nonstationary vibration signals for the gearbox multi-fault diagnosis
10.1016/j.measurement.2012.06.013 · 2013 · External reference
Semi-supervised learning and condition fusion for fault diagnosis
10.1016/j.ymssp.2013.03.008 · 2013 · External reference
Adaptive fault detection and diagnosis using an evolving fuzzy classifier
10.1016/j.ins.2011.08.030 · 2013 · External reference
