Using multivariate statistical methods to detect fires
- 1 January 1996
- journal article
- research article
- Published by Springer Nature in Fire Technology
- Vol. 32 (1), 6-24
- https://doi.org/10.1007/bf01040755
Abstract
No abstract availableKeywords
This publication has 12 references indexed in Scilit:
- Nonlinear principal component analysis—Based on principal curves and neural networksComputers & Chemical Engineering, 1996
- Monitoring batch processes using multiway principal component analysisAIChE Journal, 1994
- New methods for reducing the number of false alarms in fire detection systemsFire Technology, 1994
- Application of an electronic nose to the discrimination of coffeesSensors and Actuators B: Chemical, 1992
- Multivariate statistical monitoring of process operating performanceThe Canadian Journal of Chemical Engineering, 1991
- Approach To Detection Of Fires In Their Very Early Stage By Odor Sensors And Neural NetFire Safety Science, 1991
- Principal Component AnalysisPublished by Springer Nature ,1986
- Principal Components and Factor Analysis: Part I—Principal ComponentsJournal of Quality Technology, 1980
- Analysis of a complex of statistical variables into principal components.Journal of Educational Psychology, 1933
- LIII. On lines and planes of closest fit to systems of points in spaceJournal of Computers in Education, 1901