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[null,"1.","Record Nr.",null,"UNISALENTO991000186489707536"]
[null,null,"Autore",null,"Plinius Caecilius Secundus, Gaius"]
[null,null,"Titolo",null,"Lettere di Plinio il giovane, tradotte in lingua italiana, e dedicate all'illustriss., ed eccellentiss. signore d. Alessandro Albani ... dal Canonico Gio. Antonio Tedeschi, e tra gli arcadi Orticolo Elio"]
[null,null,"Pubbl/distr/stampa",null,"In Roma : dalla Stamperia di Gio. Maria Salvioni, nella Sapienza, 1717"]
[null,null,"Descrizione fisica",null,"XXXV, [1], 441, [3] p. ; 4o (24 cm.)"]
[null,null,"Lingua di pubblicazione",null,"Italiano"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Segn.: [a]⁴ b-c⁴ d⁶ A-3H⁴ 3I⁶ (3I6 bianca) :  front. stampato in rosso e nero Iniziali e testatina calcogr. sottoscritta: Campiglia inu. Limpach scul. a c. [a]3r e a c. A1r ;  Tit. occhietto: Lettere di Plinio il giovane ; IMPRONTA iaro lat- ine- spqu (3) 1717 (R)"]
[null,"2.","Record Nr.",null,"UNINA9910299857703321"]
[null,null,"Autore",null,"Stamboliska Zhaklina"]
[null,null,"Titolo",null,"Proactive Condition Monitoring of Low-Speed Machines / / by Zhaklina Stamboliska, Eugeniusz Rusiński, Przemyslaw Moczko"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015"]
[null,null,"ISBN",null,"3-319-10494-2"]
[null,null,"Edizione",null,"[1st ed. 2015.]"]
[null,null,"Descrizione fisica",null,"1 online resource (193 p.)"]
[null,null,"Disciplina",null,"620"]
[{"$nulls":4},"620.0042"]
[{"$nulls":4},"621.8"]
[{"$nulls":4},"629"]
[null,null,"Soggetti",null,"Machinery"]
[{"$nulls":4},"Engines"]
[{"$nulls":4},"Quality control"]
[{"$nulls":4},"Reliability"]
[{"$nulls":4},"Industrial safety"]
[{"$nulls":4},"Engineering design"]
[{"$nulls":4},"Machinery and Machine Elements"]
[{"$nulls":4},"Engine Technology"]
[{"$nulls":4},"Quality Control, Reliability, Safety and Risk"]
[{"$nulls":4},"Engineering Design"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references at the end of each chapters and index."]
[null,null,"Nota di contenuto",null,"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."]
[null,null,null,"Sommario/riassunto","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 "]
[{"$nulls":4},"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."]