Reliability Data Analysis

The objective of this course is to cover the basis of Data Analytics using techniques like Weibull analysis. The course will cover areas like probability distributions, statistics for engineering, and effects on sensor data.

Course outline     Who should attend?     Course materials 


Course outline

  • Foundational Concepts of Data Analysis
    • The Importance of Data
    • The Product Life Cycle
    • Information for Failure Analysis
    • Root Cause Analysis Tools
  • Statistics and Probability
    • Populations vs. Samples
    • Random Variables and Statistics
    • Descriptive Statistics
      • Mean, Median, and Mode for central tendency
      • Variance and Standard Deviation for dispersion
      • Coefficient of Variation (CV) as a relative measure of variability
    • Data Visualization
  • Probability Distributions in Reliability
    • Probability Density Function (PDF)
    • The Bathtub Curve
    • Key Reliability Functions
    • Common Distributions
      • Normal
      • Lognormal
      • Exponential
      • Weibull
  • Practical Applications and Confidence
    • Reliability Specifications
    • Censoring Types
    • Fitting Data to a Distribution
    • Confidence Intervals
    • Exponential and Weibull in Practice

Who should attend?

Information coming soon.

Course materials

  • Course PowerPoint in PDF format sent electronically


Continuing Education Units: .6 CEUs

 

Calendar of Events