Beschreibung
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.
Autorenporträt
Mr. Shankar N. Dandare( M.Sc., M.E., Ph. D. ) is working as a Professor in Electronics Engineering Department, Babasaheb Naik College of Engineering, Pusad, India. He is a member of many professional bodies like ISTE, AMIE, and IETE. He has teaching experience of 34 years in Engineering UG and PG level and Main author of three engineering Books.
Herstellerkennzeichnung:
BoD - Books on Demand
In de Tarpen 42
22848 Norderstedt
DE
E-Mail: info@bod.de
