Automotive Fault Diagnosis (2nd Edition)

Author: Xiao Yunkui
Publisher:
Publish Date: 2006-05-01
Features: This book outlines the current state of automotive diagnostic technology and briefly discusses signal measurement techniques in automotive diagnostics. It systematically introduces the application of fault feature extraction, state recognition, wavelet transform, chaos and fractals, neural networks, fuzzy sets, rough sets, expert systems, and non-stationary signal processing theory and technology in automotive fault diagnosis. The book provides a detailed analysis of common faults and their diagnostic methods in automotive engines, chassis, electrical systems, and electronic control systems. With up-to-date information and a progressive narrative, this book can serve as a textbook for automotive students and also be used as a learning and reference resource for automotive engineers, testers, and maintenance personnel.