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 ◽

10.1504/ijdats.2010.030010 ◽

2010 ◽

Vol 2 (1) ◽

pp. 38 ◽

Author(s):

N.R. Sakthivel ◽

V. Sugumaran ◽

Binoy B. Nair

Keyword(s):

Support Vector Machine ◽

Centrifugal Pump ◽

Fault Classification ◽

Support Vector ◽

Proximal Support Vector Machine

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Fault Classification of a Centrifugal Pump in Normal and Noisy Environment with Artificial Neural Network and Support Vector Machine Enhanced by a Genetic Algorithm

Theory and Practice of Natural Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-26841-5_5 ◽

2015 ◽

pp. 58-70 ◽

Author(s):

Abtin Nourmohammadzadeh ◽

Sven Hartmann

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Artificial Neural Network ◽

Support Vector Machine ◽

Centrifugal Pump ◽

Fault Classification ◽

Support Vector ◽

Noisy Environment ◽

Artificial Neural

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Online Statistical Monitoring and Fault Classification of the Tennessee Eastman Challenge Process Based on Dynamic Independent Component Analysis and Support Vector Machine

IFAC Proceedings Volumes ◽

10.3182/20080706-5-kr-1001.01252 ◽

2008 ◽

Vol 41 (2) ◽

pp. 7405-7412 ◽

Author(s):

Karim Salahshoor ◽

Fariborz Kiasi

Keyword(s):

Support Vector Machine ◽

Independent Component Analysis ◽

Component Analysis ◽

Independent Component ◽

Fault Classification ◽

Support Vector ◽

Statistical Monitoring

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Support Vector Machine for Vibration Fault Classification of Steam Turbine-Generator Sets

Procedia Engineering ◽

10.1016/j.proeng.2011.11.2598 ◽

2011 ◽

Vol 24 ◽

pp. 38-42 ◽

Author(s):

Huo-Ching Sun ◽

Yann-Chang Huang

Keyword(s):

Support Vector Machine ◽

Steam Turbine ◽

Fault Classification ◽

Support Vector ◽

Turbine Generator ◽

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Optimization of support vector machine based multi-fault classification with evolutionary algorithms from time domain vibration data of gears

Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science ◽

10.1177/0954406213477777 ◽

2013 ◽

Vol 227 (11) ◽

pp. 2428-2439 ◽

Author(s):

DJ Bordoloi ◽

Rajiv Tiwari

Keyword(s):

Support Vector Machine ◽

Time Domain ◽

Angular Speed ◽

Fault Classification ◽

Support Vector ◽

Vibration Data ◽

Time Domain Data ◽

Grid Search Method

In the present work, a multi-fault classification of gears has been attempted by the support vector machine learning technique using the vibration data in time domain. A proper utilization of the support vector machine is based on the selection of support vector machine parameters. The main focus of this article is to examine the performance of the multiclass ability of support vector machine techniques by optimizing its parameters using the grid-search method, genetic algorithm and artificial bee colony algorithm. Four fault conditions were considered. A group of statistical features were extracted from time domain data. The prediction of fault classification is attempted at the same angular speed as the measured data as well as innovatively at the intermediate and extrapolated angular speed conditions. This is due to the fact that it is not feasible to have measurement of vibration data at all continuous speeds of interest. The classification ability is noted and it shows an excellent prediction performance.

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Study on Fault Classification of Power-Shift Steering Transmission Based on v-Support Vector Machine

The 19th International Conference on Industrial Engineering and Engineering Management ◽

10.1007/978-3-642-38433-2_70 ◽

2013 ◽

pp. 647-654 ◽

Author(s):

Yuan Zhu ◽

Ying-feng Zhang ◽

Ai-yong Du

Keyword(s):

Support Vector Machine ◽

Fault Classification ◽

Support Vector ◽

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Classification of microarray using MapReduce based proximal support vector machine classifier

Knowledge-Based Systems ◽

10.1016/j.knosys.2015.09.005 ◽

2015 ◽

Vol 89 ◽

pp. 584-602 ◽

Author(s):

Mukesh Kumar ◽

Santanu Kumar Rath

Keyword(s):

Support Vector Machine ◽

Support Vector Machine Classifier ◽

Support Vector ◽

Proximal Support Vector Machine

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Pattern Recognition Application of Support Vector Machine for Fault Classification of Thyristor Controlled Series Compensated Transmission Lines

Journal of The Institution of Engineers (India) Series B ◽

10.1007/s40031-015-0210-8 ◽

2015 ◽

Vol 97 (2) ◽

pp. 175-183 ◽

Author(s):

Bhargav Yashvantrai Vyas ◽

Rudra Prakash Maheshwari ◽

Biswarup Das

Keyword(s):

Pattern Recognition ◽

Support Vector Machine ◽

Transmission Lines ◽

Fault Classification ◽

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Fault Classification of Water Hydraulic System by Vibration Analysis with Support Vector Machine

Journal of Testing and Evaluation ◽

10.1520/jte100734 ◽

2007 ◽

Vol 35 (4) ◽

pp. 100734

Author(s):

M. R. Mitchell ◽

R. E. Link ◽

H. X. Chen ◽

Patrick S. K. Chua ◽

G. H. Lim

Keyword(s):

Support Vector Machine ◽

Vibration Analysis ◽

Hydraulic System ◽

Fault Classification ◽

Support Vector ◽

Water Hydraulic

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Support vector machine based optimization of multi-fault classification of gears with evolutionary algorithms from time–frequency vibration data

Measurement ◽

10.1016/j.measurement.2014.04.024 ◽

2014 ◽

Vol 55 ◽

pp. 1-14 ◽

Author(s):

D.J. Bordoloi ◽

Rajiv Tiwari

Keyword(s):

Support Vector Machine ◽

Evolutionary Algorithms ◽

Fault Classification ◽

Support Vector ◽

Time Frequency ◽

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Fault classification of waste heat recovery system based on support vector machine

2014 9th IEEE Conference on Industrial Electronics and Applications ◽

10.1109/iciea.2014.6931259 ◽

2014 ◽

Author(s):

Jianhua Zhang ◽

Jia Meng ◽

Rui Wang ◽

Guolian Hou

Keyword(s):

Support Vector Machine ◽

Heat Recovery ◽

Waste Heat Recovery ◽

Fault Classification ◽

Support Vector ◽

Waste Heat Recovery System ◽

Recovery System ◽

Heat Recovery System

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