Theory and Practice of Decision Making in Regulation, Diagnostics and Reliability of Machines provides a guide to decision-making in the areas of regulation, diagnostics and reliability of machines. Outlining the theoretical foundations that support decision-making processes and applying them to practical examples, the book provides insight and direction to enable informed decisions leading to optimum system operation.

It is difficult to achieve suitable safety and cost-efficiency without decision-making processes in place. Tackling this head-on, this book discusses theoretical foundations of decision-making and how this can impact diagnostics and the reliability of machines. Discussing cybernetics, artificial intelligence, engine control, machine diagnostics and reliability, the book uses practical examples such as turbine blades of aircraft engines and vehicles such as cars and buses.

This book will be of interest to students and industry professionals in the fields of mechanical, aerospace and automotive engineering, enabling readers to make informed decisions in their field of work.