Titlebook: Advances in Condition Monitoring of Machinery in Non-Stationary Operations; Proceedings of the F Fakher Chaari,Radoslaw Zimroz,Mohamed Hadd

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G-spot

Elisabeth Kretschmer,Gustav A. Draschvariations around their fundamental frequency. This paper presents a method able to efficiently analyse electric quantities measured at the generator stator. The obtained outputs consist in electrical features that fully describe the electrical information contained in the measured three-phase quant

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Distribution of Cadmium Within the Kidneydetecting localized mechanical faults in electromechanical systems operating in stationary conditions. In the case of non-stationary conditions, speed variations must be distinguished from angular velocity perturbation caused by the presence of a defect. In the framework of diagnosis of rotating mac

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Cadmium in European Inland Waterss with respect to vibration and Motor Current Signature Analysis (MCSA) are the high resolution of the result obtained combined with small data storage. The hi-quality information shows many hi-order harmonics that are not easy to interpret and correlate with the machine construction. In this paper

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Prologue

https://doi.org/10.1007/978-3-662-11295-3ocalized damage in REB. The problem of damage detection in REB is widely described in literature, in general. However, known techniques might be not successful in case of crushers due to presence of heavy non-Gaussian, impulsive noise. Impulsiveness of the signal from bearings is commonly used as an

灾难

Cadmium Interaction with Animal Cells a variable frequency drive (VFD). The vibration signal being processed was obtained from a test rig with a defective bearing, thus the signal represents a rich content of different types of signals. Power spectrum density (PSD) and time-frequency analysis (using Morlet wavelets) were used after a v

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Seiichiro Himeno,Hitomi Fujishiroem. However, the system-driven generation of health indicators requires the knowledge of the system kinematics and the configuration of thresholds which may induce lots of false alarms. In this paper, we propose a generic and data-driven method to automatically generate system health indicators with

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