Fault Detection in Automobile Engines: A Soft Computing Approach

Name: Fault Detection in Automobile Engines: A Soft Computing Approach
Brand: LAP Lambert Academic Publishing
SKU: 9783659928475
Price: 267.32 RON
Availability: InStock

Autor: Shankar N. Dandare

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Editura: LAP Lambert Academic Publishing

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267.32 lei

Fault detection has gained growing importance for vehicle safety and reliability. For the improvemen...

Informații despre carte

Autor

Shankar N. Dandare

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2016

Pagini

140

EAN

9783659928475

Enbook ID

14115376

Editura

LAP Lambert Academic Publishing

Greutate

225

Dimensiuni

150 x 220 x 9

Descriere completă

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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Fault Detection in Automobile Engines: A Soft Computing Approach

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