LAP Lambert Academic Publishing ( 2012-05-11 )
€ 79,00
The early detection of the malfunctions and faults is crucial for performance and reliability of automobiles. In the last millennium, the existing automobile on-board diagnosis systems were incapable of diagnosing some faults such as loss of engine compression, plug-not-firing and carburettor. This set of faults is very important to be detected, and more so that, automobile systems of the future will be autonomous and a self driven system with little or no human interventions. A new condition monitoring approach that uses the sense of smell was investigated to diagnose the faults of plug-not-firing, loss of compression and carburettor fault. An electronic nose based condition monitoring hardware and software was developed to obtain a smell print of the exhaust fumes of an automobile gasoline engine in different operating conditions. This work presents results of experiments based on the data obtained (1400 x 10 data samples each for ten (10) fault classes) from the developed condition monitoring scheme for gasoline fuelled automobile engine using four different algorithms.
Book Details: |
|
ISBN-13: |
978-3-659-12076-3 |
ISBN-10: |
3659120766 |
EAN: |
9783659120763 |
Book language: |
English |
By (author) : |
Arulogun Oladiran Tayo |
Number of pages: |
232 |
Published on: |
2012-05-11 |
Category: |
Informatics, IT |