Fault Detection in Automobile Engines: A Soft Computing Approach - Couverture souple

Dandare, Shankar N.

 
9783659928475: Fault Detection in Automobile Engines: A Soft Computing Approach
Couverture souple
ISBN 10 : 365992847X ISBN 13 : 9783659928475
Editeur : LAP LAMBERT Academic Publishing, 2016

Synopsis

Fault detection has gained growing importance for vehicle safety and reliability. For the improvement of reliability, safety and efficiency; advanced methods of supervision, fault detection and fault diagnosis become increasingly important for many automobile systems. Many times, the trial and error approach has been applied to detect the fault and therefore engine may get more damaged instead of getting repaired. To alleviate such type of problem, the idea of sound recording of engines has been suggested to diagnose the fault correctly without opening the engine. In this book, fault detection of two stroke petrol engine, four strokes motor cycle engine and four stroke car engine have been explained. The objective is to categorize the acoustic signals of engines into healthy and faulty state. Acoustic emission signals are generated from three different automobile engines in both healthy and faulty conditions. The soft computing approach for detection of multiple faults in automobile engines is proposed, which include signal conditioning, signal processing, statistical analysis and Artificial Neural Networks.

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Présentation de l'éditeur

Fault detection has gained growing importance for vehicle safety and reliability. For the improvement of reliability, safety and efficiency; advanced methods of supervision, fault detection and fault diagnosis become increasingly important for many automobile systems. Many times, the trial and error approach has been applied to detect the fault and therefore engine may get more damaged instead of getting repaired. To alleviate such type of problem, the idea of sound recording of engines has been suggested to diagnose the fault correctly without opening the engine. In this book, fault detection of two stroke petrol engine, four strokes motor cycle engine and four stroke car engine have been explained. The objective is to categorize the acoustic signals of engines into healthy and faulty state. Acoustic emission signals are generated from three different automobile engines in both healthy and faulty conditions. The soft computing approach for detection of multiple faults in automobile engines is proposed, which include signal conditioning, signal processing, statistical analysis and Artificial Neural Networks.

Biographie de l'auteur

Dr. Shankar N. Dandare is a professor in Electronics Engineering Department, Babasaheb Naik College of Engineering, Pusad, India. He has completed his doctorate in Electronics Engineering. He is a member of many professional bodies like ISTE, AMIE and IETE. He has total teaching Experience of 32 years and published more than 25 research papers.

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Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2016
Langue
anglais
ISBN 10 
365992847X
ISBN 13 
9783659928475
Reliure
Broché
Nombre de pages
140
Coordonnées du fabricant
non disponible
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