Additional Reliability Analysis Tools

Introduction

In this chapter, we will cover some other tools and analysis methods that utilize many of the principles discussed earlier in this reference and can be very useful in the realm of reliability and life data analysis.

Specifically, in this chapter we will look at:

Degradation Analysis, which allows the user to extrapolate failure times from performance data.
Warranty Analysis, which provides methods for extracting life data from sales and returns information, as well as enabling the user to forecast future returns and/or detect issues.
Test Design, which allows the user to plan test strategies for few or no failures, or when test time or test units are very rigidly apportioned.
SimuMatic, which allows the user to perform reliability analyses a large number of times on data sets that have been created using Monte Carlo simulation.
Nonparametric Life Data Analysis, which allows the user to analyze life data without assuming an underlying distribution.
Competing Failure Modes (CFM) Analysis, which is a method for analyzing multiple failure modes simultaneously.
Tests of Comparison, which provides a basis for comparing data sets.
Stress-Strength Analysis, which allows for the determination of the probability of stress exceeding strength.
Risk Analysis and Probabilistic Design with Monte Carlo Simulation, which allows the user to perform simple relationship-based analysis. This type of simulation has many applications in probabilistic design, risk analysis, quality control, etc.

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