A Fault Alarm and Diagnosis Method Based on Sensitive Parameters and Support Vector Machine

Publisher： IOP Publishing

E-ISSN： 1757-899X|90|1|754-763

ISSN： 1757-899X

Source： IOP Conference Series: Materials Science and Engineering, Vol.90, Iss.1, 2015-08, pp. : 754-763

Access to resources Favorite

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Related content

Optimization of Milling Parameters for Titanium Alloys Based on Support Vector Machine (Machine Learning) and Ant Colony Optimization Algorithm

By  

Key Engineering Materials, Vol. 2018, Iss. 770, 2018-07 ,pp. : 262-267

Trans Tech Publications

Access to resources Recommend Favorite

Support vector machine to predict diesel engine performance and emission parameters fueled with nano-particles additive to diesel fuel

By  

IOP Conference Series: Materials Science and Engineering, Vol. 100, Iss. 1, 2015-12 ,pp. : 562-569

IOP Publishing

Access to resources Recommend Favorite

Signal Classification for Pipeline Security Threat Event Based on Optimized Support Vector Machine

By  

Key Engineering Materials, Vol. 2016, Iss. 693, 2016-06 ,pp. : 1428-1435

Trans Tech Publications

Access to resources Recommend Favorite

Classification of acoustic emission sources produced by carbon/epoxy composite based on support vector machine

By  

IOP Conference Series: Materials Science and Engineering, Vol. 87, Iss. 1, 2015-07 ,pp. : 8-13

IOP Publishing

Access to resources Recommend Favorite

Weak-Points Diagnosis and Optimization of Shield Machine Cutter Tool Based on Characteristic Parameters

By  

Key Engineering Materials, Vol. 2016, Iss. 693, 2016-06 ,pp. : 1479-1485

Trans Tech Publications

Access to resources Recommend Favorite