Abstract: A method analyzes risks in a technical project for developing or manufacturing a technical system or technical components or a technical process, wherein the following steps are carried out in a risk identification process: a) provision or determination of a large number of qualitative evaluations of risks in the technical project; b) determination of a large number of quantitative evaluations of the risks; c) comparison of the qualitative and quantitative evaluations for each risk, as a result of which a comparison outcome is established for each risk; d) definition of a permissible region of comparison outcomes; e) classification of the risks that are situated outside the permissible region as unacceptable risks; f) analysis of the unacceptable risks in order to identify uncertainties in the risk analysis and further risks.

Abstract: Disclosed is a full error description for a technical system which is described by a system description which can be processed by a computer and stored. The system description contains information on elements available in system and information on the links therebetween. An element error description is determined for each element taken into consideration, using a stored error description which is respectively associated with a reference element. At least one part of the reference elements is grouped into a reference element group and a group error description is determined for the reference elements of a reference element group using a stored group error description which is respectively associated with a reference element group, enabling possible errors of the reference elements of the reference element group to be described. A full error description is determined from the element error descriptions and the group error descriptions, taking into account information on element links.

Abstract: An evaluation is performed for a device, an application and/or a method, in particular a method for establishing a technical system such as a power plant for instance, the assessment being carried out on the basis of costs for risks. In accordance with the method, the costs for specific risks are to be assessed. A risk costs interval is to be determined, which contains the actual risk costs with high probability. This is achieved by a regression of intuitive assignments to a straight line by an indirect linear regression by a non-linear regression in an intermediate diagram.

Abstract: In a method for computer-aided visualization of a risk status in a technical project for developing or producing a technical system, components or a process, a number of risks and/or a number of uncertainties are provided as first and/or second input variables, each risk being assigned an occurrence probability and a damage degree and each uncertainty being assigned a weighting and an estimate of damage. Furthermore, a visually distinguishable bar chart having a first and second sector for the first and second input variables is generated. For each risk, the first sector has a bar segment in which the probability-of-occurrence and the degree-of-damage variables are depicted, and for each uncertainty of the number of uncertainties, the second sector has a bar segment in which the weighting and the estimate-of-damage variable are depicted. In a circular bar chart, the corresponding bars for the risks or uncertainties are highlighted in different colors.

Abstract: A method analyzes risks in a technical project for developing or manufacturing a technical system or technical components or a technical process, wherein the following steps are carried out in a risk identification process: a) provision or determination of a large number of qualitative evaluations of risks in the technical project; b) determination of a large number of quantitative evaluations of the risks; c) comparison of the qualitative and quantitative evaluations for each risk, as a result of which a comparison outcome is established for each risk; d) definition of a permissible region of comparison outcomes; e) classification of the risks that are situated outside the permissible region as implausible risks; f) analysis of the implausible risks in order to identify uncertainties in the risk analysis and further risks.

Abstract: An evaluation is performed for a device, an application and/or a method, in particular a method for establishing a technical system such as a power plant for instance, the assessment being carried out on the basis of costs for risks. In accordance with the method, the costs for specific risks are to be assessed. A risk costs interval is to be determined, which contains the actual risk costs with high probability. This is achieved by a regression of intuitive assignments to a straight line by an indirect linear regression by a non-linear regression in an intermediate diagram.

Abstract: Computer-supported prognosis of the reliability of a technical system, which comprises a processor on which programs are run determines an analysis and/or projection prognosis figure, which gives the expected complexity for generation of the programs in a metric for the analysis and/or the projection. An implementation figure is determined from the analysis and/or projection prognosis figure which gives the expected complexity for production of the programs in a metric for the implementation. Finally a reliability prognosis figure is determined from the implementation prognosis figure which gives the expected reliability of the programs.

Abstract: The faults are described using a fault description which comprises data which have been determined using failure modes and effects analysis. The fault description is extended by information regarding the dependency of possible faults and the frequency of occurrence of said faults. The extended fault description is used to ascertain, for a prescribed fault event, the fault tree and the frequency of occurrence of the fault event.

Abstract: A method and an arrangement are provided for predicting measurement data using given measurement data, in which a stochastic process is matched to the given measurement data. Simulation runs are carried out from a given time-point until a final time-point. The forecast measurement data is determined for each simulation run. Measurement data for the final time-point is predicted within a range of values, which is determined by the forecast measurement data.

Abstract: A navigation method involves a processor selecting at least one destination from a stipulated destination category containing a plurality of destinations (P1; P2; P3; P4) and calculating a route to the destination. In the event of a change in the location (V1; V2), the processor checks whether a new destination (P1; P2; P3; P4) from the stipulated destination category is closer to the changed location. If the new destination is closer to the changed location, a route is calculated from the changed location to the new destination and is output to a user. In this way, dynamic, automatically changeable destination selection is performed which takes into account the actual course of a journey route.