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You're reading from  MATLAB for Machine Learning - Second Edition

Product typeBook
Published inJan 2024
Reading LevelIntermediate
PublisherPackt
ISBN-139781835087695
Edition2nd Edition
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Giuseppe Ciaburro
Giuseppe Ciaburro
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Giuseppe Ciaburro

Giuseppe Ciaburro holds a PhD and two master's degrees. He works at the Built Environment Control Laboratory - Università degli Studi della Campania "Luigi Vanvitelli". He has over 25 years of work experience in programming, first in the field of combustion and then in acoustics and noise control. His core programming knowledge is in MATLAB, Python and R. As an expert in AI applications to acoustics and noise control problems, Giuseppe has wide experience in researching and teaching. He has several publications to his credit: monographs, scientific journals, and thematic conferences. He was recently included in the world's top 2% scientists list by Stanford University (2022).
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Using ML to identify anomalous functioning

A gearbox, also known as a gear mechanism or transmission, is a mechanical device designed to transmit mechanical power from one component to another while altering the speed, torque, and direction of rotation. Gearboxes consist of a set of gears with different sizes and configurations that mesh to provide specific mechanical advantages based on the desired output.

In an automotive context, a gearbox, often referred to as a transmission or gearshift, is a critical component that plays a central role in controlling the power output of the engine and the vehicle’s speed. Anomaly detection in a gearbox involves identifying irregularities or deviations from the normal behavior of the gearbox components and their associated systems. Detecting anomalies in a car’s gearbox is crucial for ensuring the vehicle’s safety, reliability, and overall performance.

To promptly identify anomalies in a gearbox, we can use sensors such...

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MATLAB for Machine Learning - Second Edition
Published in: Jan 2024Publisher: PacktISBN-13: 9781835087695

Author (1)

author image
Giuseppe Ciaburro

Giuseppe Ciaburro holds a PhD and two master's degrees. He works at the Built Environment Control Laboratory - Università degli Studi della Campania "Luigi Vanvitelli". He has over 25 years of work experience in programming, first in the field of combustion and then in acoustics and noise control. His core programming knowledge is in MATLAB, Python and R. As an expert in AI applications to acoustics and noise control problems, Giuseppe has wide experience in researching and teaching. He has several publications to his credit: monographs, scientific journals, and thematic conferences. He was recently included in the world's top 2% scientists list by Stanford University (2022).
Read more about Giuseppe Ciaburro