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Books > Professional & Technical > Energy technology & engineering > Electrical engineering > Power generation & distribution

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Current Sensing Techniques and Biasing Methods for Smart Power Drivers (Hardcover, 1st ed. 2018) Loot Price: R1,525
Discovery Miles 15 250
Current Sensing Techniques and Biasing Methods for Smart Power Drivers (Hardcover, 1st ed. 2018): Sri Navaneethakrishnan...

Current Sensing Techniques and Biasing Methods for Smart Power Drivers (Hardcover, 1st ed. 2018)

Sri Navaneethakrishnan Easwaran

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Loot Price R1,525 Discovery Miles 15 250 | Repayment Terms: R143 pm x 12*

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This book provides a detailed description of fault tolerant design techniques for smart power drivers and their application in the design of automotive airbag ICs to ensure correct deployment. The book begins with an introduction to the nature of electrical loads in the car, then moves on to describe various current sensing circuits, featuring thermal simulations. It shows how simple design techniques can be applied to ensure appropriate functionality of the IC under any power up condition. It concludes by introducing diagnostic circuits and measurement results. This book is a useful reference for automotive IC designers and provides specifications and design guidelines not found in the current literature.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Release date: 2018
First published: 2018
Authors: Sri Navaneethakrishnan Easwaran
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 146
Edition: 1st ed. 2018
ISBN-13: 978-3-319-71981-8
Categories: Books > Professional & Technical > Transport technology > Intelligent & automated transport system technology
Books > Professional & Technical > Energy technology & engineering > Electrical engineering > Power generation & distribution
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Circuits & components
Books > Professional & Technical > Transport technology > Automotive technology > General
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LSN: 3-319-71981-5
Barcode: 9783319719818

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