Description

Book Synopsis

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.

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

    Product form

    £38.66

    Includes FREE delivery

    RRP £42.95 – you save £4.29 (9%)

    Order before 4pm today for delivery by Fri 26 Jun 2026.

    A Paperback by Pasquale Arpaia, Mario Girone, Vitaliano Inglese

      Trusted by thousands of customers. See 2,385+ Customer Reviews

      View other formats and editions of Cryogenic Systems: Advanced Monitoring, Fault Diagnostics, and Predictive Maintenance by Pasquale Arpaia

      Publisher: Momentum Press
      Publication Date: 17/10/2017
      ISBN13: 9781946646309, 978-1946646309
      ISBN10:

      Description

      Book Synopsis

      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.

      Recently viewed products

      © 2026 Book Curl

        • American Express
        • Apple Pay
        • Diners Club
        • Discover
        • Google Pay
        • Maestro
        • Mastercard
        • PayPal
        • Shop Pay
        • Union Pay
        • Visa

        Login

        Forgot your password?

        Don't have an account yet?
        Create account