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Books > Arts & Architecture > Industrial / commercial art & design > Product design

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Design of Mechanical Systems Based on Statistics - A Guide to Improving Product Reliability (Hardcover) Loot Price: R4,615
Discovery Miles 46 150
Design of Mechanical Systems Based on Statistics - A Guide to Improving Product Reliability (Hardcover): Seongwoo Woo

Design of Mechanical Systems Based on Statistics - A Guide to Improving Product Reliability (Hardcover)

Seongwoo Woo

Series: Advanced Research in Reliability and System Assurance Engineering

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Loot Price R4,615 Discovery Miles 46 150 | Repayment Terms: R432 pm x 12*

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This book introduces and explains the parametric accelerated life testing (ALT) methodology as a new reliability methodology based on statistics, to help avoid recalls of products in the marketplace. The book includes problems and case studies to help with reader comprehension. It provides an introduction to reliability design of the mechanical system as an alternative to Taguchi's experimental methodology and enables engineers to correct faulty designs and determine if the targeted product reliability is achieved. Additionally, it presents a robust design methodology of mechanical products to withstand a variety of loads. This book is intended for engineers of many fields, including industrial engineers, mechanical engineers, and systems engineers.

General

Imprint: Crc Press
Country of origin: United Kingdom
Series: Advanced Research in Reliability and System Assurance Engineering
Release date: May 2021
First published: 2021
Authors: Seongwoo Woo
Dimensions: 234 x 156mm (L x W)
Format: Hardcover
Pages: 360
ISBN-13: 978-0-367-07626-9
Categories: Books > Arts & Architecture > Industrial / commercial art & design > Product design
Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Business & Economics > Business & management > Management of specific areas > Production & quality control management
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
LSN: 0-367-07626-8
Barcode: 9780367076269

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