Comparison of Support Vector Machine-Based Techniques for Detection of Bearing Faults

Comparison of Support Vector Machine-Based Techniques for Detection of Bearing Faults

This paper presents a method that combines Shuffled Frog Leaping Algorithm (SFLA) with Support Vector Machine (SVM) method in order to identify the fault types of rolling bearing in the gearbox. The proposed method improves the accuracy of fault diagnosis identification after processing the collecte...

Full description

Saved in:

Bibliographic Details
Main Authors:	Lijun Wang, Shengfei Ji, Nanyang Ji
Format:	Article
Language:	English
Published:	Wiley 2018-01-01
Series:	Shock and Vibration
Online Access:	http://dx.doi.org/10.1155/2018/8174860
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Combining the Multi-Genetic Algorithm and Support Vector Machine for Fault Diagnosis of Bearings
by: Jianbin Xiong, et al.
Published: (2018-01-01)

Study on Support Vector Machine-Based Fault Detection in Tennessee Eastman Process
by: Shen Yin, et al.
Published: (2014-01-01)

An efficient bearing fault detection strategy based on a hybrid machine learning technique
by: Khalid Alqunun, et al.
Published: (2025-05-01)

A Bearing Fault Diagnosis Using a Support Vector Machine Optimised by the Self-Regulating Particle Swarm
by: Yerui Fan, et al.
Published: (2020-01-01)

Fault Diagnosis of Bearing Based on Cauchy Kernel Relevance Vector Machine Classifier with SIWPSO
by: Sheng-wei Fei, et al.
Published: (2015-01-01)

Temperature Sensor Fault Detection in Chiller Based on One-class Support Vector Machine Algorithm
by: Mao Qianjun, et al.
Published: (2019-01-01)

Application of Machine Learning Techniques for Bearing Fault Diagnosis
by: Sarra Eddai, et al.
Published: (2025-10-01)

Fault Diagnosis Based on Piecewise Least Square Support Vector Machine
by: Lv Ning, et al.
Published: (2018-12-01)

Fault Diagnosis Method of Bearing based on LCD Cross Approximate Entropy and Relevance Vector Machine
by: Tan Jingjing, et al.
Published: (2017-01-01)

Rotating Machinery Fault Detection Using Support Vector Machine via Feature Ranking
by: Harry Hoa Huynh, et al.
Published: (2024-10-01)

Fault Detection for Turbine Engine Disk Based on Adaptive Weighted One-Class Support Vector Machine
by: Jiusheng Chen, et al.
Published: (2020-01-01)

Particle Swarm Optimization Support Vector Machine-Based Grounding Fault Detection Method in Distribution Network
by: Zhongqin Xiong, et al.
Published: (2025-04-01)

Winding Fault Detection in Power Transformers Based on Support Vector Machine and Discrete Wavelet Transform Approach
by: Bonginkosi A. Thango
Published: (2025-05-01)

Bearing Degradation Process Prediction Based on the Support Vector Machine and Markov Model
by: Shaojiang Dong, et al.
Published: (2014-01-01)

Application of Deep Support Vector Machine in Gear Fault Diagnosis
by: Lei Yu, et al.
Published: (2019-08-01)

Fault Diagnosis Research on Bearingof Motor Based on LMD And Support Vector Machine
by: YIN Zhao-jie, et al.
Published: (2018-10-01)

Study on Prediction of Bearing Capacity of Compound Foundation with Support Vector Machine
by: ZHANG Wenjie, et al.
Published: (2010-01-01)

Study Comparison Deep Learning and Support Vector Machine for Face Mask Detection
by: Rani Kurnia Putri, et al.
Published: (2025-06-01)

An intelligent protection scheme based on support vector machine for fault detection in microgrid using transient signals in protection scheme
by: Tiwari Shankarshan Prasad
Published: (2024-01-01)

Automatic vibration fault detection of coal mine explosion-proof electrical equipment based on One-Class Support Vector Machine
by: ZHENG Tiehua, et al.
Published: (2025-02-01)

Satellite Fault Diagnosis Using Support Vector Machines Based on a Hybrid Voting Mechanism
by: Hong Yin, et al.
Published: (2014-01-01)

Deep Learning Techniques for Early Fault Detection in Bearings: An Intelligent Approach
by: Omar Mohammed Amin Ali, et al.
Published: (2025-02-01)

ONBOARD FUEL PUMP FAULT DIAGNOSIS BASED ON IMPROVED SUPPORT VECTOR MACHINE AND EXPERIMENTAL RESEARCH
by: LIANG Wei, et al.
Published: (2016-01-01)

Bearing Fault Detection and Classification Based on Temporal Convolutions and LSTM Network in Induction Machine
by: Mohammad Hoseintabar Marzebali, et al.
Published: (2022-06-01)

Implementation and Evaluation of Machine Learning Algorithms in Ball Bearing Fault Detection
by: Stepanić Pavle, et al.
Published: (2025-04-01)

Induction Machine Bearing Fault Detection Using Empirical Wavelet Transform
by: Ricardo Lopez-Gutierrez, et al.
Published: (2022-01-01)

Multiple Feature Vectors Based Fault Classification for WSN Integrated Bearing of Rolling Mill
by: Bo Qin, et al.
Published: (2018-01-01)

A New Approach to Electrical Fault Detection in Urban Structures Using Dynamic Programming and Optimized Support Vector Machines
by: Reynaldo Villarreal, et al.
Published: (2025-04-01)

Rolling Bearing Fault Diagnosis Based on Component Screening Vector Local Characteristic-Scale Decomposition
by: Tengfei Guan, et al.
Published: (2022-01-01)

A FAULT DIAGNOSIS METHOD BASED ON IMPROVED ARTIFICAL BEE COLONY OPTIMIZE SUPPORT VECTOR MACHINE
by: WU YinHua, et al.
Published: (2018-01-01)

Fault Diagnosis of Vehicle Gearbox based on Support Vector Machine Optimized by Improved Beetle Antennae Search
by: Wenshan Qiao, et al.
Published: (2022-05-01)

Application of Support Vector Machines in High Power Device Technology
by: RAO Wei, et al.
Published: (2018-01-01)

Exploring Kernel Machines and Support Vector Machines: Principles, Techniques, and Future Directions
by: Ke-Lin Du, et al.
Published: (2024-12-01)

Journal Bearing Fault Detection Based on Daubechies Wavelet
by: Narendiranath Babu THAMBA, et al.
Published: (2017-07-01)

High‐Impedance Fault Detection in Distribution Networks Based on Support Vector Machine and Wavelet Transform Approach (Case Study: Markazi Province of Iran)
by: Mohammad Sadegh Attar, et al.
Published: (2025-03-01)

PSO-Based Support Vector Machine with Cuckoo Search Technique for Clinical Disease Diagnoses
by: Xiaoyong Liu, et al.
Published: (2014-01-01)

Comparison of Feature Extraction in Support Vector Machine (SVM) Based Sentiment Analysis System
by: Imam Fahrur Rozi, et al.
Published: (2025-07-01)

Correction: Ecological Footprint Model Using the Support Vector Machine Technique
Published: (2012-01-01)

A Novel Method for Mechanical Fault Diagnosis Based on Variational Mode Decomposition and Multikernel Support Vector Machine
by: Zhongliang Lv, et al.
Published: (2016-01-01)

Fault Diagnosis System of Induction Motors Based on Multiscale Entropy and Support Vector Machine with Mutual Information Algorithm
by: Shuang Pan, et al.
Published: (2016-01-01)