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Titlebook: Advances in Condition Monitoring of Machinery in Non-Stationary Operations; Proceedings of the t Giorgio Dalpiaz,Riccardo Rubini,Mohamed Ha

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期刊全称Advances in Condition Monitoring of Machinery in Non-Stationary Operations
期刊简称Proceedings of the t
影响因子2023Giorgio Dalpiaz,Riccardo Rubini,Mohamed Haddar
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发行地址Recent Research in Condition Monitoring of Machinery in Non-Stationary Operations.Proceedings of the third International Conference Condition Monitoring of Machinery in Non-Stationary Operations CMMNO
学科分类Lecture Notes in Mechanical Engineering
图书封面Titlebook: Advances in Condition Monitoring of Machinery in Non-Stationary Operations; Proceedings of the t Giorgio Dalpiaz,Riccardo Rubini,Mohamed Ha
影响因子This book presents the processing of the third edition of the Condition Monitoring of Machinery in Non-Stationary Operations (CMMNO13), which was held in Ferrara, Italy. This yearly event merges an international community of researchers who met – in 2011 in Wroclaw (Poland) and in 2012 in Hammamet (Tunisia) – to discuss issues of diagnostics of rotating machines operating in complex motion and/or load conditions. The growing interest of the industrial world on the topics covered by the CMMNO13 involves the fields of packaging, automotive, agricultural, mining, processing and wind machines in addition to that of the systems for data acquisition. The participation of speakers and visitors from industry makes the event an opportunity for immediate assessment of the potential applications of advanced methodologies for the signal analysis. Signals acquired from machines often contain contributions from several different components as well as noise. Therefore, the major challenge of condition monitoring is to point out the signal content that is related to the state of the monitored component particularly in non-stationary conditions.
Pindex Conference proceedings 2014
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Lecture Notes in Mechanical Engineeringhttp://image.papertrans.cn/a/image/147350.jpg
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Ambuj Shahi,Sandipan Bandyopadhyay dynamic behaviour can be simulated in the frequency domain. Simulated results are then compared to measured results and the comparison allows to apply model based diagnostic procedures. As soon as the system presents strong non-linearity, simulation must be performed in the time domain, including a
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Adhiti Raman,Matthias Schmid,Venkat N. Kroviades. The aim is to obtain a methodology that allows a reliable diagnosis of this kind of elements without dismounting them from the machine, and detecting the failure in incipient stages before a critical failure occurs. This manuscript develops and improvement of a technique showed in [.] of autom
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Lei Jin,Tarek Taha,Dongming Ganoptimised to measure the bearing behaviour, free from dynamics of the surrounding structure. In the current study, the test rig is used to evaluate the stiffness of a deep groove ball bearing under different operational conditions. The bearing behaviour is measured using the modal analysis technique
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