This is a revised and extended new edition of a book originally published by Wiley in 2011, combined with new content on signal conditioning circuits, machine learning and expert systems in industrial instrumentation and control. Most manufacturing and automation processes require precise and optimum control. Sensors are used to measure and monitor a range of measurands throughout the process cycle, most typically including mass, flow, pressure, level, temperature, density or humidity. Instrumentation and process control engineers use this information to monitor and manage industrial processes to ensure efficient and safe manufacturing. The foundation of this field is an understanding of the diverse range of sensors and devices employed in industrial settings, their function and limitations and how they efficiently deployed. Advances in computational methods, signal processing and the incorporation of machine learning has had a major impact on the field in recent years. The subject of industrial instrumentation and measurement is of paramount importance for both academics and practicing engineers.