Fuzzy Logic Dynamics and Machine Prediction for Failure Analysis

Download or read book Fuzzy Logic Dynamics and Machine Prediction for Failure Analysis written by Mushiri, Tawanda and published by IGI Global. This book was released on 2018-01-12 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the fast pace of the modern world it is important, more than ever, for factories to know how and why their machines are failing and what can be done to prevent it. As such, it is imperative that new research is conducted to make sure that factories can operate as efficiently as possible. Fuzzy Logic Dynamics and Machine Prediction for Failure Analysis is an essential reference source for the newest research on the risk assessment matrix, ladder logic, and computerized maintenance management systems (CMMS). Featuring widespread coverage across a variety of related viewpoints and topics, such as the Ishikawa diagram, machinery failure analysis and troubleshooting, model reference adaptive control systems, and proportional–integral–derivative (PID) controllers, this book is ideally designed for professionals, upper-level students, and academics seeking current research on the implementation of fuzzy logic in machine prediction failure.