A Control List for the Systematic Identification of Disturbance Factors

Abstract

The importance of considering disturbance factors in the product development process is often emphasized as one of the key factors to a functional and secure product. However, there is only a small number of tools to support the developer in the identification of disturbance factors and none of them yet ensures that the majority of occurring disturbance factors is considered. Thus, it is the aim of this contribution to provide a tool in form of a control list for the systematic identification of disturbance factors. At the beginning of this contribution, the terms “disturbance factor” and “uncertainty” are defined based on a literature review and different approaches for the classification of uncertainty are presented. Subsequently, the fundamentals of multipole based model theory are outlined. Moreover, a first approach in terms of a control list for a systematic identification of disturbance factors is discussed. Based on the discussed approach and taking the identified weaknesses as a starting point, a control list is presented that combines the existing basic concept of the control list with the fundamentals of multipole based model theory.

Uncertainty Analysis of a Calculation Model for Electric Bearing Impedance

“…In the first step, uncertainty in the calculation model was identified based on its manifestation in the system's model. For the identification of context uncertainty in terms of occurring disturbance factors, as potential cause of data and model uncertainty, the control list by Welzbacher et al (2021) was utilized. In this context, each occurring disturbance factor was quantified according to its respective pair of generalized energy variables.…”

“…E.g., in terms of an occurring heat transfer, it could not be clearly determined whether the heat transfer was by conduction or convection. Consequently, the disturbance factors in the control list by Welzbacher et al (2021) must be reviewed critically and combined reasonably to be applicable in a meaningful way. In order to identify occurring data uncertainty, each input of the calculation model was analyzed regarding a temporal variability, existing dependencies from acting disturbance factors and associated measuring uncertainty.…”

“…For the identification of context uncertainty, the control list for disturbance factors proposed by Welzbacher et al (2021) is used to ensure that no relevant disturbance factors are neglected unconsciously. The control list is structured based on the physical (sub-) domains of the respective disturbance factors, whereby each disturbance factor is characterized -and thus quantifiable -by its domain-specific pair of generalized energy variables according to multipole based model theory (cf.…”

“…The control list is structured based on the physical (sub-) domains of the respective disturbance factors, whereby each disturbance factor is characterized -and thus quantifiable -by its domain-specific pair of generalized energy variables according to multipole based model theory (cf. Welzbacher et al, 2021). By quantifying each occurring disturbance factor via its generalized energy variables, the level of uncertainty associated to each disturbance factor becomes obvious.…”

“…By quantifying each occurring disturbance factor via its generalized energy variables, the level of uncertainty associated to each disturbance factor becomes obvious. For further information about the utilized disturbance factor control list please refer to Welzbacher et al (2021).…”