Journal of Engineering Mathematics & Statistics

Authors:Rohan Mishra, Arti Maheswari

Abstract:Engineering systems are becoming increasingly complex, and their reliability is of utmost importance in ensuring safe and efficient operation. Statistical analysis plays a crucial role in assessing and improving the reliability of these systems. This paper provides an overview of statistical analysis techniques used in engineering systems and discusses the importance of reliability assessment. It explores various statistical methods employed to analyze system data, model failure mechanisms, estimate reliability measures, and make informed decisions for system improvement. The paper also emphasizes the significance of reliability assessment throughout the system lifecycle and highlights the challenges and future directions in this field.

Keywords: Statistical analysis, Reliability assessment, Engineering systems, Descriptive statistics, Probability distributions, Reliability analysis, Life data analysis, Failure mode and effects analysis (FMEA), Reliability-centered maintenance (RCM)