Intelligent Fault Diagnosis Technology for Diesel Engines

Author: Cao Longhan
Publisher:
Publish Date: 2005-01-01
Features: This book is a specialized work written by the author based on the latest scientific research achievements in summarizing the failure mechanisms of diesel engines at home and abroad and intelligent fault diagnosis technologies. Building on a brief introduction to engineering signal analysis methods, the book summarizes the methods, characteristics, current research status, and development trends of various commonly used diesel engine fault diagnosis technologies. It focuses on analyzing the vibration diagnosis mechanisms of typical diesel engine failures and the fuel pressure fluctuation characteristics of typical fuel supply system failures. It also provides extraction methods for various diesel engine status characteristic signals, fuzzy clustering analysis-based diesel engine fault diagnosis technology, and rough set theory-based artificial neural network fault diagnosis technology for diesel engines. Finally, it offers a detailed introduction to the composition, principles, and implementation of diesel engine fault diagnosis expert systems. This book can serve as a textbook and teaching reference for graduate students and senior undergraduate students in relevant disciplines at universities, as well as for researchers and engineering technicians in the fields of internal combustion engines, machinery, petroleum, chemical industry, and shipbuilding who are engaged in equipment fault diagnosis.