الفهرس 
الغلافOnly 14 pages are availabe for public view
 |  | from | 262 |  |  |
| | | from | 262 | | |
Abstract
Various injection systems are used to supply fuel into diesel engine cylinders that
require precise operating conditions to meet operating requirements. These
injection pumps are usually operated indirectly by gears operated by a serrated
drive or chain connected to the crankshaft and it can be controlled mechanically or
electrically. Due to the difficult operating conditions of these systems, it is difficult
to detect and identify system faults by traditional methods, which consume time,
high costs and long downtime of vehicles. In this research, several different
attempts were made to detect and locate faults of linear pump diesel injection
system using vibration and sound signals analysis.
In order to ensure the effectiveness and simplification of this strategy in detecting
faults, a series of laboratory experiments were carried out on Hartridge 600 test
bench under different operating conditions as; injection pump shaft speed,
injection pressure, injected fuel, and injection timing using LMS Pimento device.
Various techniques were used to process the data and display the results through
MA TLAB such as angular range, frequency range and time-frequency range. The
technique used to detect faults using vibration analysis has proven to be applicable.
The same technique was applied to a diesel engine testing platform equipped with
all the measuring and control devices needed to conduct the research. The same
device (LMS Pimento) was used to collect data from vibrations of the injection
system at different operating conditions.
During this research, the research team found that these methods consume a lot of
time in the process of data extraction and analysis of vibration signals, so the
researcher introduced a faster technique to obtain the results of the design of a
diagnostic device for diesel system faults to collect the necessary data resulting
from the vibration of the system through the program. And then to process these
data and convert it into graphics to explain the faults in the time domain and
frequency range, as well as to make some comparisons using the mathematical
function of the average square root of the signal to determine the location of the
fault in the system.
This program is designed using a Microsoft Visual Studio - c++ language
program. An immediate fault diagnosis device has already been produced and has
been calibrated using the LMS Pimento device used in previous experiments. The
researcher conducted several laboratory experiments using the diagnostic