TY - CHAP A1 - Mustafa Demetgul A2 - Sezai Taskin A3 - Ibrahim Nur Tansel ED1 - Kenji Suzuki Y1 - 2011-04-04 PY - 2011 T1 - Conditioning Monitoring and Fault Diagnosis for a Servo-Pneumatic System with Artificial Neural Network Algorithms N2 - Artificial neural networks may probably be the single most successful technology in the last two decades which has been widely used in a large variety of applications. The purpose of this book is to provide recent advances of artificial neural networks in industrial and control engineering applications. The book begins with a review of applications of artificial neural networks in textile industries. Particular applications in textile industries follow. Parts continue with applications in materials science and industry such as material identification, and estimation of material property and state, food industry such as meat, electric and power industry such as batteries and power systems, mechanical engineering such as engines and machines, and control and robotic engineering such as system control and identification, fault diagnosis systems, and robot manipulation. Thus, this book will be a fundamental source of recent advances and applications of artificial neural networks in industrial and control engineering areas. The target audience includes professors and students in engineering schools, and researchers and engineers in industries. BT - Artificial Neural Networks SP - Ch. 21 UR - https://doi.org/10.5772/14917 DO - 10.5772/14917 SN - PB - IntechOpen CY - Rijeka Y2 - 2021-06-17 ER -