There are many ways to detect engine malfunctions. However, most of them are based on the diagnosis of the difference in some aggregate criteria between the standard case and the other cases. This study gives a new view to diagnose the performance of the engine moving parts (signal of each moving part separately) during them working properly and without any defect. This will contribute to early diagnosis operations if there was any change in signal of any one of them in the future. The noise-based test was used as a method to record the noise of the dodge journey car engine, and then the Hilbert Huang transform (HHT) was used to analyze the recorded data. It has been identified five mechanical movements governed by the valve variable timing system (VVTs) through these acoustic tests. These movements are noise due to the suction of the air-fuel mixture, noise due to overlap processes, strikes of both valves (intake and exhaust) to the engine body, and noise due to slipping both of the dual camshafts (suction and exhaust camshafts) on the pads of the rocker arm. This study has succeeded in proving this diagnosis through three methods, these methods are: firstly, compatibility with former research, secondly, synchronization of the mechanical movements during the overlap, and finally cross-correlation technique which is one of the signal processing methods. In summary, by taking advantage of the identification of five mechanical motions controlled by the VVTs, this study tested two systems of the engine systems first; the fire order system (ignition sequence system for cylinders) and the airflow system. This study succeeded in determining which of the engine's combustion chambers had a problem through acoustic tests, in addition to being able to early detect malfunctions of the airflow system. Many conclusions were reached about the relation between the root mean square (RMS) of the recorded noise and output torque.