Zhaklina Stamboliska, Eugeniusz Rusiński, Przemyslaw Moczko

Proactive Condition Monitoring of Low-Speed Machines (eBook, PDF)

• Format: PDF

Produktbeschreibung

This book broadens readers’ understanding of proactive condition monitoring of low- speed machines in heavy industries. It focuses on why low-speed machines are different than others and how maintenance of these machines should be implemented with particular attention. The authors explain the best available monitoring techniques for various equipment and the principle of how to get proactive information from each technique. They further put forward possible strategies for application of FEM for detection of faults and technical assessment of machinery. Implementation phases are described and industrial case studies of proactive condition monitoring are included. Proactive Condition Monitoring of Low-Speed Machines is an essential resource for engineers and technical managers across a range of industries as well as design engineers working in industrial product development.

Produktdetails

• Verlag: Springer International Publishing
• Erscheinungstermin: 15. November 2014
• Englisch
• ISBN-13: 9783319104942
• Artikelnr.: 43791300

Autorenporträt

Eugeniusz Rusiński is a Professor at the Wroclaw University of Technology. Przemyslaw Moczko is an Assistant Professor at the Wroclaw University of Technology. Zhaklina Stamboliska is a Production Manager at the Usje Cement Plant.

Inhaltsangabe

Review Of Condition In Today’s Industry.- Maintenance Management and Applied Strategies.- Maintenance Considerations of Low-Speed Machines.- Condition Monitoring Techniques for Low-Speed Machines.- Proactive Condition Monitoring of Low-Speed Machines.- Application of FEM in Proactive Condition Monitoring.- Case Studies of Proactive Condition Monitoring Applications.

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Review Of Condition In Today's Industry.- Maintenance Management and Applied Strategies.- Maintenance Considerations of Low-Speed Machines.- Condition Monitoring Techniques for Low-Speed Machines.- Proactive Condition Monitoring of Low-Speed Machines.- Application of FEM in Proactive Condition Monitoring.- Case Studies of Proactive Condition Monitoring Applications.