Efficient diagnostic and preventive maintenance systems are critical for maximizing diesel engine performance and longevity. These systems enable early detection and resolution of potential issues, minimizing downtime and repair costs. Vibration analysis is a powerful diagnostic tool used to assess engine health by analyzing vibratory emissions. This study focuses on investigating the impact of mass airflow sensor faults on diesel engine vibrations at various speeds. Through experimental studies and data analysis in time domains, the research aims to understand the relationship between sensor faults and vibration behavior. Statistical indicators such as root mean square (RMS), standard deviation and kurtosis are employed to compare vibration patterns under normal and faulty conditions. The findings provide valuable insights into the diagnostic potential of vibration analysis for detecting and localizing faults in diesel engines, thereby enhancing condition monitoring and maintenance strategies in the automotive industry.