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Titlebook: Current Trends in Reliability, Availability, Maintainability and Safety; An Industry Perspect Uday Kumar,Alireza Ahmadi,Prabhakar Varde Con

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https://doi.org/10.1007/978-3-658-41838-0failure in these systems may result in substantial costs in terms of lost service delivery and emergency maintenance operations. Failures of critical infrastructures mainly occur as a result of various degradation (deterioration) processes in their consisting units as well as due to external shocks
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https://doi.org/10.1007/978-3-658-41838-0hey require more inspection than other parts of a railway track as they are potential safety hazards. As a result, turnout degradation processes are crucial to be understood by infrastructure manager to plan for their maintenance and renewal in advance. Two approaches have been introduced in the lit
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23. Internationales Stuttgarter Symposium and stoppages. In order to avoid stoppages and to minimize the downtime, maintenance and condition monitoring systems must be optimized. On one hand the condition monitoring on board should provide automatic failure detection, identification and localization together with a prognostic of the future
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https://doi.org/10.1007/978-3-658-42048-2er of sensors are important metrics of sensor network optimization. Main aspects of this optimization can be categorized to failure detection, failures diagnosis from each other, the collected data from sensors and sensor reliability. In the process of sensor networks optimization, logical relations
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23. Internationales Stuttgarter Symposiumndards and research articles propose how to estimate fatigue life for different levels of reliability. However, when trying to do calculations based on data from a real system, there are many difficulties because of economic and safety reasons. Consequently, the use of physical models to simulate th
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E/E Architectures and the Automotive OSa. The principal curve is a generation of linear Principal Component Analysis (PCA). Introduced by Hastie as a parametric curve, the original definition is based on the self-consistency property. The Hastie’s theory encloses weaknesses in case of complex data structures or data with intersections. T
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https://doi.org/10.1007/978-3-658-42048-2er (CS-29) main gearbox using vibration and Acoustic Emissions (AE). It compares their effectiveness for various operating conditions. Three signal processing techniques including an adaptive filter, spectral kurtosis and envelope analysis, were investigated. In addition, this research discusses the
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Thomas Thurner,Gerhard Di Mattioto the cost of repair and maintenance actions. So, different solutions have been proposed from the point of view of on-line monitoring of gearbox condition by means of oil analysis. In this work, a complete process for the evaluation of a wind turbine gearbox on-line oil sensor was performed, based
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