Cryogenic Systems: Advanced Monitoring, Fault Diagnostics, and Predictive Maintenance - Softcover

Arpaia, Pasquale; Girone, Mario; Inglese, Vitaliano; Pezzeti, Marco

Softcover

ISBN 10: 194664630X ISBN 13: 9781946646309

Publisher: Momentum Press, 2017

Synopsis

In Cryogenic Systems, advanced methods and techniques of monitoring, fault diagnostics, and predictive maintenance for cryogenic processes and systems are described.

In particular, in Part I on Background,Chapters 1 and 2, mainstreams in research on advanced systems for monitoring, as well as for fault diagnostics and maintenance, respectively, in cryogenic processes are reviewed, with the aim of providing background concepts useful for the book comprehension.

Then, in Part II of Methods, in Chapter 3, a transducer based on a virtual flowmeter is presented for monitoring helium distribution and consumption in cryogenic systems for particle accelerators [1]. Furthermore, a comprehensive metrological analysis of the proposed transducer for verifying the metrological performance and pointing out most critical uncertainty sources is described [2]. In Chapter 4, a model-based method for fault detection and early-stage isolation, able to work with few records of frequency response function on an unfaulty compressor, is then proposed [3]. In Chapter 5, a distributed diagnostic procedure, based on a micro-genetic algorithm for transducer networks monitoring complex physics systems, is shown [4]. Finally, in Chapter 6, a metaheuristic optimization algorithm for predictive maintenance scheduling problems [5] is extended to complex plants such as large experimental cryogenic systems.

Part III of Application examples, several practical case studies are described for highlighting the practical application of the previous methods to an environment of particle accelerators technologies. In particular, in Chapter 7, a case study on advanced monitoring of cryogenics plants for particle physics is reported, by highlighting the design and the experimental tests of the above helium flow transducer. In Chapter 8, a case study on the application of the above fault detection techniques to cryogenic cold compressors with Active Magnetic Bearings is highlighted. In Chapter 9, a case study on the above fault diagnostics techniques applied to the LHC cryogenics plant of the Large Hadron Collider at CERN is detailed. Finally, in Chapter 10, a case study on predictive maintenance of CERN helium storage system is described, by detailing the application scenario, the system configuration, and the experimental results.

About this title

About the Authors

Pasquale Arpaia holds an MS and PhD in electrical engineering from University of Naples Federico II, where he is professor of instrumentation and measurements. He is team leader at European Organization for Nuclear Research (CERN). He is associate editor of the Elsevier Journal Computer Standards & Interfaces and is an invited speaker in several scientific conferences.

Mario Girone has a master degree in electrical engineering at University of Napoli Federico II and a PhD in information engineering at University of Sannio (Italy) in collaboration with CERN on advanced diagnostics for cryogenic systems. He is currently working at Arup as building services designer.

Vitaliano Inglese received his master's degree in automation engineering at the University of Sannio in 2006, and his PhD in electrical engineering at University of Naples Federico II in 2010. During his PhD, he worked on measurement techniques for particle accelerator magnets, ADC testing, digital instrumentation and software for magnetic measurements. He published scientific papers both in journals and in conference proceedings. He is currently working at CERN as engineer in the domain of electricity and controls applied to cryogenics.

Edition details

• Publisher: Momentum Press
• Publication date: 2017
• Language: English
• ISBN 10: 194664630X
• ISBN 13: 9781946646309
• Binding: Paperback
• Number of pages: 172