In the face of technological evolution and increased demands for performance and durability, the search for a new diesel engine condition monitoring system has become an imperative priority. It is essential to develop advanced solutions capable to diagnose anomalies accurately and rapidly for various reasons like; maintaining optimum engine performance, reducing maintenance costs and extending engine life. This is by integrating cutting-edge technologies and innovative methods. These new control systems aim to meet current and future challenges, guaranteeing greater reliability and efficiency for diesel engines. The primary goal of this paper is to identify temperature sensor malfunctions in diesel engines by means of sound emission analysis. Four times, a diesel engine has been used for various experiences. The mechanisms behind typical auditory emissions have been understood through tests carried out under safe operating conditions. The temporal analysis was used in conjunction with statistical indicators platitude, standard deviation, Kurtosis and root mean square (RMS). Monitoring these indicators enables early defect detection. A signature of failure, helpful for diagnosis and detection, was found by comparing the monitored data by that obtained under typical operating conditions.