Modern human societies rely on measurements. Measurements are essential for understanding and describing the world around us and the overall nature. Ensuring measurement accuracy, traceability, and consistency is important in scientific research, trade, manufacturing, health and medicine, and the everyday running of modern societies. One of the most essential components of measurement is calibration. This book walks the reader through fundamental principles of calibrations, traditional calibration methods, the related standards, and procedures, as well as a fast-developing and diverse range of artificial intelligence (AI)-based calibration methods.
Calibration complies with strict regulations and legislation by governments, relevant authorities, and concerned parties. New and effective calibration techniques are evolving in parallel to the traditional methods. As explained here, new techniques that are based on AI offer instantaneous, continuous calibrations in standalone devices as well as in complex and large systems. Continuous and large-scale calibrations are possible due to the new generation of computers and advanced digital systems, intelligent devices and sensors, communication networks, advanced mathematical methods, and the newly developed areas such as cyber-physical systems.
This book highlights that advanced technological and AI methods are applied for the calibration of distributed cyber-physical and data-driven systems. AI-based calibrations find applications in large-scale systems, where traditional methods have become almost impossible to implement or can be costly. Typical examples are Internet of Things (IoTs), self-driving vehicles, intelligent transportation systems, unmanned aerial vehicles, drones and drone clusters, industrial processes, communication networks, health and medicine, environmental monitoring, pollution control, remote and inaccessible devices, smart cities, space explorations, management systems, economics, and finance.
This book walks the reader through fundamental principles of calibrations, traditional calibration methods, the related standards, and procedures, as well as fast developing and diverse range of artificial intelligence-based calibration methods.
1. General Concepts.
2. Calibration Strategies and Techniques.
3.
Mathematical Methods in Calibration.
4. Calibration Steps.
5. Artificial
Intelligence in Calibrations.
6. Applications of AI in Calibration. List of
Abbreviations.
Halit Eren received a BEng, 1973, and an MEng, 1975, in electrical engineering and a PhD in control engineering, 1979, all from the University of Sheffield, UK. He obtained an MBA from Curtin University in 1999, majoring in international management. He worked in Etibank as a project engineer on automation and instrumentation in copper plants. He served as a lecturer at Hacettepe UniversityBeytepe Campus, 19801981, and as an assistant professor at the Middle East Technical UniversityGaziantep Campus, 1982. He worked at Curtin University between 1983 and 2015, first at the School of Mines, Kargoorlie, and then at the School of Electrical Engineering, Bentley Campus, Perth, Western Australia. He served as an associate professor at Polytechnic University, Hong Kong, and as a visiting professor at the University of WisconsinMadison, USA. His academic duties involved research and teaching in control systems, digital transmission and interface design, process control and instrumentation, and engineering management. He has attracted numerous research grants from the government and industry, and has also acted as a consultant for many private and governmental organizations. He supervised and graduated PhD and masters degree students. He served as the head of the Department of Electronics and Electrical Engineering at Curtin University.
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