In laboratory management of an industrial test division, a test laboratory, or a research center, one of the main activities is producing suitable software for automatic benches by satisfying a given set of requirements. This activity is particularly costly and burdensome when test requirements are variable over time. If the batches of objects have small size and frequent occurrence, the activity of measurement automation becomes predominating with respect to the test execution. Flexible Test Automation shows the development of a software framework as a useful solution to satisfy this exigency. The framework supports the user in producing measurement applications for a wide range of requirements with low effort and development time.
In this book, advanced methods and techniques of monitoring, fault diagnostics, and predictive maintenance for cryogenics are illustrated. In Part I on Background, mainstreams in the related research are reviewed. In Part II of 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.
In laboratory management of an industrial test division, a test laboratory, or a research center, one of the main activities is producing suitable software for automatic benches by satisfying a given set of requirements. This activity is particularly costly and burdensome when test requirements are variable over time. If the batches of objects have small size and frequent occurrence, the activity of measurement automation becomes predominating with respect to the test execution. Flexible Test Automation shows the development of a software framework as a useful solution to satisfy this exigency. The framework supports the user in producing measurement applications for a wide range of requirements with low effort and development time.
In this book, advanced methods and techniques of monitoring, fault diagnostics, and predictive maintenance for cryogenics are illustrated. In Part I on Background, mainstreams in the related research are reviewed. In Part II of 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.
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