Sugumaran V

Mechanical

School of Mechanical Engineering

Chennai Campus

A joshuva

M amarnath

Sang kwon lee

Fulltext

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

Indian Journal of Science and Technology

Monoblock centrifugal pumps are employed in variety of critical engineering applications. Continuous monitoring of such machine component becomes essential in order to reduce the unnecessary break downs. At the outset, vibration based approaches are widely used to carry out the condition monitoring tasks. Particularly fuzzy logic, support vector machine (SVM) and artificial neural networks were employed for continuous monitoring and fault diagnosis. In the present study, the application of SVM algorithm in the field of fault diagnosis and condition monitoring is discussed. The continuous wavelet transforms were calculated for different families and at different levels. The computed transformation coefficients form the feature set for the classification of good and faulty conditions of the components of centrifugal pump. The classification accuracies of different continuous wavelet families at different levels were calculated and compared to find the best wavelet for the fault diagnosis of the monoblock centrifugal pump. © 2014 Karabuk University

Engineering Science and Technology, an International Journal

Fault diagnosis of monoblock centrifugal pump using SVM

Neurocomputing

Multimodal deep support vector classification with homologous features and its application to gearbox fault diagnosis

Mechanism and Machine Theory

Gear fault diagnosis method based on local mean decomposition and generalized morphological fractal dimensions

Modern Applied Science

Regrassion Modeling for Spur Gear Condition Monitoring Through Oil Film Thickness Based on Acoustic Emission Signal

Measurement

The fault feature extraction and classification of gear using principal component analysis and kernel principal component analysis based on the wavelet packet transform

Remaining Life-Time Assessment of Gear Box using Regression Model

Journal	Indian Journal of Science and Technology
Publisher	Indian Society for Education and Environment
ISSN	0974-6846
Open Access	Yes