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Comparison of decision tree-fuzzy and rough set-fuzzy methods for fault categorization of mono-block centrifugal pump

Mechanical systems and signal processing, 2010-08, Vol.24 (6), p.1887-1906

2010

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Vibration based fault diagnosis of monoblock centrifugal pump using decision tree

Expert systems with applications, 2010-06, Vol.37 (6), p.4040-4049

2010

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A Deep Learning-Based Upper Limb Rehabilitation Exercise Status Identification System

Arabian journal for science and engineering (2011), 2023-02, Vol.48 (2), p.1237-1271

2023

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An Upper Limb Rehabilitation Exercise Status Identification System Based on Machine Learning and IoT

Arabian journal for science and engineering (2011), 2022-02, Vol.47 (2), p.2095-2121

2022

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Clustering stock price time series data to generate stock trading recommendations: An empirical study

Expert systems with applications, 2017-03, Vol.70, p.20-36

2017

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Can pretrained networks be used in fault diagnosis of monoblock centrifugal pump?

Proceedings of the Institution of Mechanical Engineers. Part E, Journal of process mechanical engineering, 2023-10

2023

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Predicting stock market trends using hybrid ant-colony-based data mining algorithms: an empirical validation on the Bombay Stock Exchange

International journal of business intelligence and data mining, 2011-01, Vol.6 (4), p.362

2011

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Chatter prediction in boring process using machine learning technique

International journal of manufacturing research, 2017, Vol.12 (4), p.405

2017

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Tool condition monitoring techniques in milling process — a review

Journal of materials research and technology, 2020-01, Vol.9 (1), p.1032-1042

2020

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A method for calculation of optimum data size and bin size of histogram features in fault diagnosis of mono-block centrifugal pump

Expert systems with applications, 2011-06, Vol.38 (6), p.7708-7717

2011

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EFFECT OF KERNEL FUNCTION IN SUPPORT VECTOR MACHINE FOR THE FAULT DIAGNOSIS OF PUMP

Journal of engineering science & technology, 2016-06, Vol.11 (6), p.826-838

2016

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Multi component fault diagnosis of rotational mechanical system based on decision tree and support vector machine

Expert systems with applications, 2011-04, Vol.38 (4), p.3819-3826

2011

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Application of Support Vector Machine (SVM) and Proximal Support Vector Machine (PSVM) for fault classification of monoblock centrifugal pump

International journal of data analysis techniques and strategies, 2010, Vol.2 (1), p.38

2010

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Evaluation of expert system for condition monitoring of a single point cutting tool using principle component analysis and decision tree algorithm

Expert systems with applications, 2011-04, Vol.38 (4), p.4450-4459

2011

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Decision support system using artificial immune recognition system for fault classification of centrifugal pump

International journal of data analysis techniques and strategies, 2011, Vol.3 (1), p.66

2011

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Machine Learning Approach to the Prediction of Surface Roughness Using Statistical Features of Vibration Signal Acquired in Turning

Procedia computer science, 2015, Vol.50, p.282-288

2015

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Application of standalone system and hybrid system for fault diagnosis of centrifugal pump using time domain signals and statistical features

International journal of data mining, modelling and management, 2012, Vol.4 (1), p.74

2012

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Deep learning for fault diagnosis of monoblock centrifugal pumps: a Hilbert–Huang transform approach

International journal of system assurance engineering and management, 2024-09

2024

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Soft computing approach to fault diagnosis of centrifugal pump

Applied soft computing, 2012-05, Vol.12 (5), p.1574-1581

2012

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Determination of sample size using power analysis and optimum bin size of histogram features

International journal of data analysis techniques and strategies, 2011, Vol.3 (1), p.21

2011

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Automatic rule learning using roughset for fuzzy classifier in fault categorization of mono-block centrifugal pump

Applied soft computing, 2012, Vol.12 (1), p.196-203

2012

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A Decision tree- Rough set Hybrid System for Stock Market Trend Prediction

International journal of computer applications, 2010-01, Vol.6 (9), p.1-6

2010

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Comparison of dimensionality reduction techniques for the fault diagnosis of mono block centrifugal pump using vibration signals

Engineering science and technology, an international journal, 2014-03, Vol.17 (1), p.30-38

2014

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Wavelet decomposition and support vector machine for fault diagnosis of monoblock centrifugal pump

International journal of data analysis techniques and strategies, 2011, Vol.3 (2), p.159

2011

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Use of histogram features for decision tree-based fault diagnosis of monoblock centrifugal pump

International journal of granular computing, rough sets and intelligent systems, 2011, Vol.2 (1), p.23

2011

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Comparison of decision tree-fuzzy and rough set-fuzzy methods for fault categorization of mono-block centrifugal pump

Vibration based fault diagnosis of monoblock centrifugal pump using decision tree

A Deep Learning-Based Upper Limb Rehabilitation Exercise Status Identification System

An Upper Limb Rehabilitation Exercise Status Identification System Based on Machine Learning and IoT

Clustering stock price time series data to generate stock trading recommendations: An empirical study

Can pretrained networks be used in fault diagnosis of monoblock centrifugal pump?

Predicting stock market trends using hybrid ant-colony-based data mining algorithms: an empirical validation on the Bombay Stock Exchange

Chatter prediction in boring process using machine learning technique

Tool condition monitoring techniques in milling process — a review

A method for calculation of optimum data size and bin size of histogram features in fault diagnosis of mono-block centrifugal pump

EFFECT OF KERNEL FUNCTION IN SUPPORT VECTOR MACHINE FOR THE FAULT DIAGNOSIS OF PUMP

Multi component fault diagnosis of rotational mechanical system based on decision tree and support vector machine

Application of Support Vector Machine (SVM) and Proximal Support Vector Machine (PSVM) for fault classification of monoblock centrifugal pump

Evaluation of expert system for condition monitoring of a single point cutting tool using principle component analysis and decision tree algorithm

Decision support system using artificial immune recognition system for fault classification of centrifugal pump

Machine Learning Approach to the Prediction of Surface Roughness Using Statistical Features of Vibration Signal Acquired in Turning

Application of standalone system and hybrid system for fault diagnosis of centrifugal pump using time domain signals and statistical features

Deep learning for fault diagnosis of monoblock centrifugal pumps: a Hilbert–Huang transform approach

Soft computing approach to fault diagnosis of centrifugal pump

Determination of sample size using power analysis and optimum bin size of histogram features

Automatic rule learning using roughset for fuzzy classifier in fault categorization of mono-block centrifugal pump

A Decision tree- Rough set Hybrid System for Stock Market Trend Prediction

Comparison of dimensionality reduction techniques for the fault diagnosis of mono block centrifugal pump using vibration signals

Wavelet decomposition and support vector machine for fault diagnosis of monoblock centrifugal pump

Use of histogram features for decision tree-based fault diagnosis of monoblock centrifugal pump

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