Statistical Tolerance Analysis — Basic Introduction

In this ebook, the focus is on three basic statistical tolerance analysis methods, including:

• Worst Case Method
• Root Mean Squared Method
• Monte Carlo Method

Each section has a basic introduction plus example calculations. There is additional supporting information concerning:

• finding the necessary data,
• building and interpreting histograms
• understanding probability density functions (PDFs)
• and a quick introduction to the different types of distributions commonly useful for the Monte Carlo approach.

You will learn about the three basic tolerance analysis approaches with enough detail to get started today. You will learn how setting capable tolerances permits you to create reliable products.

 

PDF file size: 1 MB

ePub file size:

Print Length: 75 pages

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