Proactive Condition Monitoring of Low-Speed Machines

• Κύριοι συγγραφείς: Stamboliska, Zhaklina (Συγγραφέας), Rusiński, Eugeniusz (Συγγραφέας), Moczko, Przemyslaw (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2015.
• Θέματα: Engineering.; Engineering design.; Machinery.; Engines.; Quality control.; Reliability.; Industrial safety.; Machinery and Machine Elements.; Engine Technology.; Quality Control, Reliability, Safety and Risk.; Engineering Design.
• Φυσική περιγραφή: IX, 186 p. 94 illus., 78 illus. in color. online resource.
• ISBN: 9783319104942

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. This book also: • Explains the practice of proactive condition monitoring and illustrates implementation phases • Presents detailed discussion of best techniques for proactive condition monitoring specifically for low-speed machines • Demonstrates application of finite element modeling for successful proactive condition monitoring • Broadens readers’ contextual understanding with case studies related to applications of proactive condition monitoring in heavy industry.