Intelligent System for the Detection and Diagnosis of Spacecraft Air Contaminants

Paper #:
  • 981679

Published:
  • 1998-07-13
Citation:
Narayan, A. and Ramirez, W., "Intelligent System for the Detection and Diagnosis of Spacecraft Air Contaminants," SAE Technical Paper 981679, 1998, https://doi.org/10.4271/981679.
Pages:
12
Abstract:
In this paper, we report on the development of an intelligent system for air quality monitoring and early detection and diagnosis of air contaminants. Optimal identification of contaminants is based upon the use of an Implicit Kalman Filter that uses both experimental data and a theoretical model to obtain optimal estimates. We have developed a three-dimensional unsteady-state model of contaminant transport, which uses a flow field generated numerically for the cabin using a finite element mesh. The optimal contaminant estimates are used as the basis for the detection of a contamination event. The algorithm is shown to distinguish between sensor faults and process faults.
Access
Now
SAE MOBILUS Subscriber? You may already have access.
Buy
Select
Price
List
Download
$27.00
Mail
$27.00
Members save up to 40% off list price.
Share
HTML for Linking to Page
Page URL

Related Items

Technical Paper / Journal Article
2004-07-19
Book
2012-11-01
Training / Education
2017-11-01
Training / Education
2013-04-09
Training / Education
2013-02-20
Training / Education
2013-04-09
Training / Education
2013-04-09
Training / Education
2013-04-09