Article citationsMore>>

Giovanni Betta, Andrea Bernieri, Domenico Capriglione, and Mario Molinara, “SVM-based approach for instru-ment fault accommodation in automotive systems,” IEEE International Conference on Virtual Environments, Human-Computer Interfaces and Measurement Systems (VECIMS), Giardini Naxos, Italy, pp. 145–150, July 18–20, 2005.

has been cited by the following article:

• TITLE: Feature Extraction and Diagnosis System Using Virtual Instrument Based on CI

  AUTHORS: Renping Shao, Xinna Huang, Yonglong Li

  KEYWORDS: Virtual Instrument (VI), Computational Intelligence (CI), Fault Diagnosis, Feature Extraction, Gear System

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.3 No.2, March 2, 2010

  ABSTRACT: Through investigating intelligent diagnosis method of Computational Intelligence (CI) and studying its application in fault feature extraction, a gear fault detection and Virtual Instrument Diagnostic System is developed by using the two hybrid programming method which combines both advantages of VC++ and MATLAB. The interface is designed by VC++ and the calculation of test data, signal processing and graphical display are completed by MATLAB. The pro-gram converted from M-file to VC++ is completed by interface software, and a various multi-functional gear fault di-agnosis software system is successfully obtained. The software system, which has many functions including the intro-duction of gear vibration signals, signal processing, graphical display, fault detection and diagnosis, monitoring and so on, especially, the ability of diagnosing gear faults. The method has an important application in the field of mechanical fault diagnosis.