Abstract: Computer-aided processing of data from a number of data sources is provided. The data is analyzed with respect to a plurality of data quality types based on respective analysis methods for each data quality type, resulting in a quality value for each data quality type. The quality values for the respective data quality types are visualized on a graphical user interface.

Abstract: A method for computer-aided simulation of operating parameters of a technical system including a plurality of modules which each contain one or more components is provided. Failure events with associated downtimes for each component are simulated in a predetermined operating period using a first probability distribution for the moment of failure of the components and a second probability distribution for the length of the failure of the components, and a third probability distribution for a degree of reliability of the modules is determined. Based upon the probability distributions for the degrees of reliability of the modules, operating parameters of the technical system are simulated for the predetermined operating period. The method is used for any technical facilities, in particular for energy generation facilities.

Abstract: IN a method and a device for determining a probability of occurrence that an overall system fulfills a predefined system performance, the overall system is composed of instances of different classes of partial systems, and each class of partial systems has an associated class fault tree. The method has the following steps: (a) calculating (S1) an overall performance for each failure combination of the number of non-failed instances within a class; (b) automatic selection (S2) of failure combinations, the calculated overall performance of which fulfills the predefined system performance; (c) automatic generation (S3) of an overall fault tree based on the class fault trees of partial systems as a function of the selected failure combinations; and (d) evaluating (S4) of the generated overall fault tree for calculating the probability of occurrence of a fulfillment of the predefined system performance by the overall system.

Abstract: A technical system is broken down into a plurality of subsystems, each of which is allocated a time-dependent distribution function which describes the probability of failure of the respective subsystem. The distribution functions are linked to one another to form a time-dependent system distribution function which describes the probability of failure of the technical system.

Abstract: A method for optimization of maintenance plans for a plant is provided. The method includes providing input data having at least one of a plurality of indicia regarding a configuration of the plant and a plurality of constraints regarding planned outages of the plant, optimizing the input data, and generating a maintenance plan with maximum equivalent output per a defined observation period regarding the plant.

Abstract: The invention relates to a method for the computer-assisted analysis of the reliability of a technical system comprising a plurality of technical components. According to the method, the reliabilities of the components are respectively described by a component function that depends on at least one parameter and a parameter interval of the at least one parameter, which is associated with the components and influences the reliability of the components; a system reliability of the technical system is determined from the reliabilities of the components; a variation value is respectively determined for at least some of the components f&, constituting a value for the variation of the system reliability according to the variation of the parameter interval of the respective component; and an influence quantity relating to the influence of the respective components on the system reliability is respectively determined for at least some of the components from the variation value.

Abstract: A method and a respective apparatus for calculating a risk reserve value for a machine is provided. A risk reserve value for a machine is a potential penalty the manufacturer of a machine has to pay to the owner or operator of the machine in case the machine does not start at a guaranteed success probability value. The method and respective apparatus can be used in business considerations as well as the construction of machines with regard to provide guarantee values to a customer.

Abstract: A method for computer-aided simulation of operating parameters of a technical system including a plurality of modules which each contain one or more components is provided. Failure events with associated downtimes for each component are simulated in a predetermined operating period using a first probability distribution for the moment of failure of the components and a second probability distribution for the length of the failure of the components, and a third probability distribution for a degree of reliability of the modules is determined. Based upon the probability distributions for the degrees of reliability of the modules, operating parameters of the technical system are simulated for the predetermined operating period. The method is used for any technical facilities, in particular for energy generation facilities.

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 and a device for determining a probability of occurrence that an overall system fulfills a predefined system performance, the overall system is composed of instances of different classes of partial systems, and each class of partial systems has an associated class fault tree. The method has the following steps: (a) calculating (S1) an overall performance for each failure combination of the number of non-failed instances within a class; (b) automatic selection (S2) of failure combinations, the calculated overall performance of which fulfills the predefined system performance; (c) automatic generation (S3) of an overall fault tree based on the class fault trees of partial systems as a function of the selected failure combinations; and (d) evaluating (S4) of the generated overall fault tree for calculating the probability of occurrence of a fulfillment of the predefined system performance by the overall system.

Abstract: A method for increasing the operational safety of a system with regard to an event impairing said operational safety, has the following steps: preparing structured assessment information concerning the event, whereby a frequency value is stored in a data structure as an item of assessment information for each damage parameter value from each quantity (S) of preset damage parameter values and for a probability from a quantity (P) of predetermined probabilities, evaluating the assessment information data of the data structure in order to calculate a risk of the event impairing the operational safety.

Abstract: A technical system is broken down into a plurality of subsystems, each of which is allocated a time-dependent distribution function which describes the probability of failure of the respective subsystem. The distribution functions are linked to one another to form a time-dependent system distribution function which describes the probability of failure of the technical system.

Abstract: The invention relates to a method for the computer-assisted analysis of the reliability of a technical system comprising a plurality of technical components. According to said method, the reliabilities of the components are respectively described by a component function that depends on at least one parameter and a parameter interval of the at least one parameter, which is associated with the components and influences the reliability of the components; a system reliability of the technical system is determined from the reliabilities of the components; a variation value is respectively determined for at least some of the components f&, constituting a value for the variation of the system reliability according to the variation of the parameter interval of the respective component; and an influence quantity relating to the influence of the respective components on the system reliability is respectively determined for at lest some of the components from the variation value.

Abstract: System and method for determining an optimum set of measures which entails a minimization of risks while observing a predetermined budget (B), wherein, based on coherence components (Z) including possible combinations of measures (MK), each of which comprise a set (M) of measures (m), the associated costs (K) for implementing the set (M) of measures (m) and each of which comprise a utility value (W) for the profit achieved with the implementation of the set (M) of measures (m) to reduce the risks, that joined set (Mopt) of measures (m) is calculated by joining sets (M) of measures from different coherence components (Z) the overall costs (K?) of which, calculated by adding the costs of the joined sets (M?), are smaller than the predetermined budget (B), and the overall utility value (W?) of which, calculated by adding the utility values (W) of the joined sets (M?), is a maximum, wherein, after a joining of sets (M) of measures (m), a joined set (M?) is then screened out if, at a lower overall utility value (W

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.