An applications of neural network information fusion techniques in fault detection and diagnosis

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

A neural network information fusion method was designed to the plane steering surface system's fault detection and diagnosis. According to the characteristic of multi-sensor fusion, synthesizing the out-put data of relational sensors, using the Nonlinear approach ability of neural network expand relational information, the fusion diagnosis strategy can ensure the fault sensor and resume the fault signal. Simulation tests show that the structural form can identify and resume the steering Surface' s normal failure. The effect is satisfactory.

Original languageEnglish
Pages (from-to)2567-2570
Number of pages4
JournalChinese Journal of Sensors and Actuators
Volume19
Issue number6
StatePublished - Dec 2006

Keywords

  • Fault detection and diagnosis
  • Information fusion
  • Learning rule
  • Neural network
  • Sensor

Fingerprint

Dive into the research topics of 'An applications of neural network information fusion techniques in fault detection and diagnosis'. Together they form a unique fingerprint.

Cite this