Statistik für Ausfalldaten

Härtler, Gisela

doi:10.1007/978-3-662-50303-4

Cited by 5 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Which of the possible types of methods are most suitable depends for example on the maximum allowed computational effort (Li et al, 2019) and the present theoretical knowledge (Zagórowska et al, 2020). However, selection criteria that enable an objective evaluation and do not depend on individual properties and requirements of the user refer to the available measurement values and physical properties of the considered system (Härtler, 2016). With the help of the advantages and disadvantages of different types of methods described in Table 1, criteria for the selection of modelling methods were prepared based on the available data.…”

Section: Criteria For the Selection Of Suitable Modelling Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Selection of Model Approaches and Modelling Methods for Lifetime Prognosis

Bauer

Inkermann

2023

Proc. Des. Soc.

View full text Add to dashboard Cite

Lifetime prognoses are fundamentally important to improve products regarding safety, costs, availability and sustainability. To modelling the lifetime of a system or its components and subsystems different methods and model approaches are available, which are not compatible in any case. Depending on the system, use case and available data, the existing model approaches and modelling methods are differently suitable for a precise lifetime prediction. In this contribution a procedure was developed to help in the selection of suitable approach-method combinations. For this purpose, the compatibility of method types with the different model approaches was assessed and criteria for the pre-selection of suitable approaches and methods for lifetime modelling were defined. The selection procedure was applied to the example of entities for electric powertrains of aircraft in early design stages. Finally, the results were summarized and evaluated. The insights gained in this paper can help to enhance lifetime models of products in early design phases.

show abstract

Section: Criteria For the Selection Of Suitable Modelling Methodsmentioning

confidence: 99%

“…The time derivative of F(t) is the probability density function δ(t). With F(t), δ(t) the failure rate λ(t) can be calculated based on equation ( 2), which is the probability of failure in an infinitesimal time span, if the system or entity is functioning until the defined time point (Härtler, 2016).…”

Section: Probability Measure and Failure Ratementioning

confidence: 99%