Abstract
In an E-nose (electronic nose) system, the gas sensor array is the most important component. But there are some redundancy and correlation in gas sensor array, which will affect the quantification accuracy of gas detection. A new gas sensor array optimization method for air monitoring system is designed and implemented. To reduce the redundancy and correlation of gas sensor array and improve the quantification accuracy of the air monitoring system, the weight coefficient of each gas sensor is set by a particle swarm optimization (PSO). The proposed new method is applied to two types of air pollutants. The quantification accuracy can be significantly improved.
| Original language | English |
|---|---|
| Pages (from-to) | 9953-9960 |
| Number of pages | 8 |
| Journal | Journal of Computational Information Systems |
| Volume | 8 |
| Issue number | 23 |
| Publication status | Published - 1 Dec 2012 |
| Externally published | Yes |
Keywords
- E-nose
- Gas Sensor Array Optimization
- PSO