Emerging Technologies in Measurement, Instrumentation, and Sensors Collection – serie
Visar alla böcker i serien Emerging Technologies in Measurement, Instrumentation, and Sensors Collection. Handla med fri frakt och snabb leverans.
2 produkter
2 produkter
493 kr
Skickas inom 3-6 vardagar
Addresses several issues related to the metrological characterization of high-performance pulsed power converters. Initially, a background and state-of-the-art on measurement systems for high-performance power converter are presented. In industrial applications of power converters metrology, specifications are often given in terms of worst-case uncertainty (WCU). Therefore, an analytical model for predicting the WCU of a measurement system is discussed and detailed for instruments affected by Gaussian noise. The authors discuss the study and design of a reference acquisition system for characterizing high-power pulses as well as the design of an on-line acquisition system for controlling the power converter. The book continues with numerical results obtained in simulation for the three main topics, which demonstrate the effectiveness of the proposals. Finally, the experimental results of a case study, carried out in the framework of the Compact Linear Collider (CLIC) at CERN, are reported. To meet CLIC requirements the two systems were designed to be ultra-low noise and are demonstrated to be repeatable in the order of few tens of parts per million (ppm).
Cryogenic Systems
Advanced Monitoring, Fault Diagnostics, and Predictive Maintenance
Häftad, Engelska, 2017
493 kr
Skickas inom 3-6 vardagar
Advanced methods and techniques of monitoring, fault diagnostics, and predictive maintenance for cryogenics are illustrated in this boo.In Part I: Background, mainstreams in the related research are reviewed. In Part II: Methods, for monitoring helium distribution and consumption in cryogenic systems for particle accelerators, a virtual flowmeter is presented. Then, for fault diagnostics, two methods, for fault detection on a compressor, and for distributed diagnostics based on a micro-genetic algorithm, are described.Finally, for predictive maintenance, a metaheuristic optimization scheduling algorithm is illustrated. In Part III of Application examples, several practical case studies are described for highlighting the application of the previous methods to cryogenics of particle accelerators at CERN.