IMU Fault Detection Based on 𠜒 2 -CUSUM

Élcio Jeronimo de Oliveira, Hélio Koiti Kuga and Ijar Milagre da Fonseca

Mathematical Problems in Engineering, 2012, vol. 2012, 1-15

Abstract:

The problem of fault detection and isolation (FDI) on inertial measurement units (IMUs) has received great attention in the last years, mainly with growing use of IMU strapdown platforms using fiber optic gyros (FOG) or micro electro mechanical systems (MEMSs). A way to solve this problem makes use of sensor redundancy and parity vector (PV) analysis. However, the actual sensor outputs can include some anomalies, as impulsive noise which can be associated with the sensors itself or data acquisition process, committing the elementary threshold criteria as commonly used. Therefore, to overcome this problem, in this work, it is proposed an algorithm based on median filter (MF) for prefiltering and chi-square cumulative sum ( 𠜒 2 -CUSUM) only for fault detection (FD) applied to an IMU composed by four FOGs.

Date: 2012
References: Add references at CitEc
Citations:

Downloads: (external link)
http://downloads.hindawi.com/journals/MPE/2012/740752.pdf (application/pdf)
http://downloads.hindawi.com/journals/MPE/2012/740752.xml (text/xml)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:740752

DOI: 10.1155/2012/740752

Access Statistics for this article

More articles in Mathematical Problems in Engineering from Hindawi
Bibliographic data for series maintained by Mohamed Abdelhakeem ().