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Kalman Filter Based Formaldehyde Odor Characteristics Estimation in Pathology Department, HTAA

Hamzah, Ahmad and Nor Syahidah, Samsuri and Mohd Rusllim, Mohamed (2015) Kalman Filter Based Formaldehyde Odor Characteristics Estimation in Pathology Department, HTAA. In: Malaysian Technical Universities Conference on Engineering and Technology (MUCET) 2015, 11-13 October 2015 , Johor Bahru, Johor, Malaysia. pp. 1-6.. (Unpublished)

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Abstract

This paper deals with Kalman Filter based estimation for formaldehyde odor characteristics for Pathology Department in HTAA. Currently, the formaldehyde can only be measured by using an e-nose alone which is still a new technique for measurement and the enose has limited performance due to specific jig dimension and environment conditions. Hence, there is a need to estimate the characteristics that able to simulate different environment conditions. The proposed design are referring to the raw data obtained from real experiment of four different sensors measurement from e-nose. The mathematical model is then constructed in a state space representation based on the raw data to approximate the nearest possible estimation. Simulation analysis described that the approach is novel which can estimate the formaldehyde odor characteristics with small error. The developed model also open the possibilities to infer the conditions of formaldehyde for different kinds of environment.

Item Type: Conference or Workshop Item (Speech)
Uncontrolled Keywords: Formaldehyde; Odor Characteristics; Kalman Filter; Estimation
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 20 Nov 2015 03:41
Last Modified: 11 Apr 2018 00:35
URI: http://umpir.ump.edu.my/id/eprint/11193
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