Unlocking factory insights with signature analysis that turns data into better processes.
This nonfiction guide explains how engineers measure and interpret signals from production lines to monitor quality, detect failures, and improve control systems. It combines theory with practical methods you can apply to real manufacturing challenges.
The book outlines a clear, three‑step approach: extract meaningful features from process signatures, select the most informative ones, and build classifiers that predict quality outcomes. It compares traditional tools like statistical process control with modern neural networks, showing how each fits different data sets and goals. Through examples from solder joint inspection and other processes, you’ll see how signatures reveal how well a process is behaving and where to intervene.Ideal for readers of manufacturing analytics, quality engineering, and process improvement literature.
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Seller: PBShop.store US, Wood Dale, IL, U.S.A.
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # LX-9780484046459
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # LX-9780484046459
Quantity: 15 available