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Quality Sampling and Reliability

John J Heldt
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Confidence Limits
Cumulative Poisson Distribution
Double Sample Plan
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eq_business-finance-law
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failure mode analysis
Incoming Quality
life data analysis
Life Test
Life Test Data
Life Test Plan
Lower Left Hand Corner
LTPD
Mean Time Between Failure assessment
MTBF calculation
MTBF Value
Multiple Sample Plans
Normal Inspection
OC Curve
operating characteristic curve
Pa Values
Poisson Distribution tables
Poisson distribution tables for engineers
Poisson Table
probability modeling
quality sampling
reliability statistics
reliability testing
Sample Plan
Sample Plan Parameters
Single Sample Plans

Product details

  • ISBN 9781574442410
  • Weight: 412g
  • Dimensions: 152 x 229mm
  • Publication Date: 21 Oct 1998
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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Description

As a mathematical model for determining the probable number of outcomes, the new Poisson Distribution tables have long been an easier tool to use for reliability analyses. Longtime quality professional, inventor, and consultant John J. Heldt now makes the Poisson Table even more useful-creating two new tables (available only in this book) with the Poisson terms rearranged for further ease of estimation.

Quality Sampling and Reliability: New Uses for the Poisson Distribution simplifies the steps involved with reliability testing; Mean Time Between Failure (MTBF) assessment; advantages and risks involved in reliability life testing; and an example of methodology for tracking the MTBF for products in the field.

In addition to the tried-and-true Standard Poisson table, used to review conventional Poisson uses, Heldt's two variations yield these results:

  • Estimations of product Mean Time Between Failures (MTBFs), based on life tests-including the 90%, 80% or 60% envelop for any MTBFs that have been derived
  • Development of the Operating Characteristic Curves for Life testing-showing the risks and advantages of any test used to assure the product MTBF is not varying in a detrimental manner

    Written for easy comprehension, with numerous illustrations, Quality Sampling and Reliability: New Uses for the Poisson Distribution will help quality professionals, engineers, instructors and students alike in their reliability testing tasks.
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