Titlebook: Reliability Engineering; Data analytics, mode Stefan Bracke Textbook 2024 Springer-Verlag GmbH Germany, part of Springer Nature 2024 Functi

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Statistical Process Control (SPC),r ensuring controlled and quality capable manufacturing processes in industrial practice. Statistical process control is a way of maintaining an optimized manufacturing process in an optimized state through continuous monitoring and, if necessary, corrections.

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Textbook 2024modelling. The methods of Reliability Engineering are applied in the elementary phases of the product emergence process (concept and series development, production) as well as during the field use of technical products. This book contains a detailed outline of the basics of statistics, graphical vis

兩種語言

Elementary Terms,is selectively supplemented by a technical perspective to facilitate understanding in the engineering application context. Terms are defined respectively explained from disciplines Technical Realiability, product and process characteristics, maintenance, measurement/testing processes and risk analytics.

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Probability and Random Experiments, explained.?The focus of Sect.?5.2 is on pobabilistics, first presented fundamentally for the simple case of two events. Subsequently, multistage random experiments are discussed, focusing on event trees, total probability and Bayes’ theorem.

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Data Collection and First Analysis Steps,riance, proportion) are presented in Sect.?6.3.?The application of different estimators for the parameters mean and variance on the basis of available samples is presented in Sect.?6.4 and concludes with the comparison of different mean and variance estimators as well as the skewness of a measurement series.

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Distribution Models and Functions,s (Sect.?7.3).?Subsequently, Sect.?7.4 is focusing to discrete distribution models. Section 7.5 focuses on the saturation function, which can be used in the analysis of complex damage events. Section 7.6 concludes with an overview of mixed distribution models.