Time-frequency Spectra Recognition Based on Sparse Non-negative Matrix Factorization and Support Vector Machine

2009 ◽  
Vol 35 (10) ◽  
pp. 1272-1277 ◽  
Author(s):  
Lei CAI ◽  
Yong-Sheng ZHU
Keyword(s):  
Support Vector Machine ◽  
Matrix Factorization ◽  
Support Vector ◽  
Frequency Spectra ◽  
Time Frequency ◽  
Non Negative Matrix Factorization

scholarly journals Mechanical Fault Diagnosis of High Voltage Circuit Breakers Based on Wavelet Time-Frequency Entropy and One-Class Support Vector Machine

Entropy ◽  
2015 ◽  
Vol 18 (1) ◽  
pp. 7 ◽  
Author(s):  
Nantian Huang ◽  
Huaijin Chen ◽  
Shuxin Zhang ◽  
Guowei Cai ◽  
Weiguo Li ◽  
...  
Keyword(s):  
Support Vector Machine ◽  
Fault Diagnosis ◽  
High Voltage ◽  
Support Vector ◽  
Circuit Breakers ◽  
Time Frequency

Time-frequency feature analysis and recognition of fission neutrons signal based on support vector machine

2010 ◽  
Vol 22 (10) ◽  
pp. 2441-2447
Author(s):  
金晶 Jin Jing ◽  
魏彪 Wei Biao ◽  
冯鹏 Feng Peng ◽  
唐跃林 Tang Yuelin ◽  
周密 Zhou Mi
Keyword(s):  
Support Vector Machine ◽  
Feature Analysis ◽  
Support Vector ◽  
Time Frequency ◽  
Fission Neutrons ◽  
Frequency Feature

Engine Knock Detection Based on Time-Frequency Images and Support Vector Machine

2013 ◽  
Vol 694-697 ◽  
pp. 1387-1390
Author(s):  
Ning Li ◽  
Rui Zhou
Keyword(s):  
Support Vector Machine ◽  
Economic Performance ◽  
Detection Task ◽  
Support Vector ◽  
Image Generation ◽  
Time Frequency ◽  
Engine Cylinder ◽  
Engine Knock ◽  
Knock Detection ◽  
Knock Control

Knock is a major cause of pollution, parts damage and metallic noise in an engine. But slight knock can improve the power and economic performance of an engine. Therefore, existence and intensity of the knock are preconditions for the automatic knock control system to work. This paper describes an advanced approach solving the knock detection task. It is based on a time-frequency image generation solution followed by a support vector machine detection step trained in a constructive supervised way. The proposed method is applied to analyze the pressure signals measured from an engine cylinder to detect the knock based on the popular cycle-by-cycle classification. It is shown that this approach can qualify well for knock detection.

Sign in / Sign up

Export Citation Format

Share Document