System Reliability Assessment and Simulation by Dr. Rong Pan
Join us for our next webinar! Wednesday, November 6, 2024 8:30-11:30 am Pacific time (California) Cost $300 per person Group discounts available! This course will be recorded and available for purchase to view at a time more convenient for you. Contact us for more details.
Register here and pass on to your co-workers!
Course Description: System reliability is an important aspect of ensuring the performance and safety of various types of systems. It involves using mathematical models and computer simulations to predict the likelihood of system failure, identify potential weak points, and determine strategies for improving reliability. In this webinar we will discuss several different methods used in system reliability assessment and simulation, including Reliability Block Diagrams (RBDs), Fault Tree Analysis (FTA), and Markov Analysis. Furthermore, Monte Carlo method, a commonly used technique in system simulation, will be explained in detail. This method allows for the incorporation of uncertainty and variability in the system into reliability prediction.
This 3 hour webinar, which costs $300 per person, will provide a brief introduction of software packages such as ReliaSoft BlockSim, JMP Pro and R, and demonstrate their functions of system reliability simulation. BlockSim is specifically designed for RBDs and FTA. It can model complex systems, perform simulations, reliability predictions, and sensitivity analysis to identify the components that have the greatest impact on system reliability. JMP Pro is a powerful data visualization and statistical analysis tool, which can be used to perform various reliability data analysis, and recently it has expanded its range of functions in reliability test planning and system simulation. R is an open-source software with a wide range of packages available for various types of analysis, including system reliability simulation. It is flexible, can handle large data sets and has a large community of users and resources.
Overall, this webinar aims to provide valuable insights into system designs by utilizing simulation tools so that potential reliability issues and the ways to mitigate them can be systematically investigated. Bottom of Form
Instructor:
Dr. Rong Pan is Professor of Industrial Engineering and Data Science in the School of Computing and Augmented Intelligence (SCAI) at Arizona State University (ASU). He is the Program Chair of Data Science, Analytics, and Engineering (DSAE) program at ASU. His research interests include failure time data analysis, design of experiments, multivariate statistical process control, time series analysis, and computational Bayesian methods. His research has been supported by NSF, Arizona Science Foundation, Air Force Research Lab, etc. He has published over 90 journal papers and 50+ refereed conference papers. Dr. Pan is a senior member of ASQ, IIE, and IEEE, and a lifetime member of SRE. He currently serves as the Chair of ASQ Reliability and Risk Division and the Editor-elect of Journal of Quality Technology.
Cost $300 per person, if you have five or more the cost is $270 per person
Time 8:30 – 11:30 am Pacific (California)
After registering, you will receive a confirmation email containing information about joining the webinar. NOTE if you do not receive the confirmation email, please call us at 303-655-3051
