الفهرس | Only 14 pages are availabe for public view |
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 |