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Analysis Techniques for Racecar Data Acquisition (Hardcover, 2nd Revised edition)
Loot Price: R2,697
Discovery Miles 26 970
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Analysis Techniques for Racecar Data Acquisition (Hardcover, 2nd Revised edition)
Expected to ship within 10 - 15 working days
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Racecar data acquisition used to be limited to well-funded teams in
high-profile championships. Today, the cost of electronics has
decreased dramatically, making them available to everyone. But the
cost of any data acquisition system is a waste of money if the
recorded data is not interpreted correctly. This book, updated from
the best-selling 2008 edition, contains techniques for analyzing
data recorded by any vehicle's data acquisition system. It details
how to measure the performance of the vehicle and driver, what can
be learned from it, and how this information can be used to
advantage next time the vehicle hits the track. Such information is
invaluable to racing engineers and managers, race teams, and racing
data analysts in all motorsports. Whether measuring the performance
of a Formula One racecar or that of a road-legal street car on the
local drag strip, the dynamics of vehicles and their drivers remain
the same. Identical analysis techniques apply. Some race series
have restricted data logging to decrease the team's running
budgets. In these cases it is extremely important that a maximum of
information is extracted and interpreted from the hardware at hand.
A team that uses data more efficiently will have an edge over the
competition. However, the ever-decreasing cost of electronics makes
advanced sensors and logging capabilities more accessible for
everybody. With this comes the risk of information overload.
Techniques are needed to help draw the right conclusions quickly
from very large data sets. In addition to updates throughout, this
new edition contains three new chapters: one on techniques for
analyzing tire performance, one that provides an introduction to
metric-driven analysis, a technique that is used throughout the
book, and another that explains what kind of information the data
contains about the track.
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