Siemens Aktiengesellschaft

Infineon Technologies Ag

Claus Hillermeier

Georg Denk

Walter Zorner

Stefan Schäffler

Georg Hoever

Hans Mauser

Annelie Stoehr

Stefan Sch&auml;ffler

Markus Hohfeld

Rudolf Gebert

A global system model equation including model equations, which contain parameters, of individual components that form the global system. The parameters of the individual components are detected using sensor values from the sensors that are allocated to the individual components and it is determined whether it is possible to adapt the parameters to the sensor values and to solve the global system model equation.

Method for detecting the sources of faults or defective measuring sensors by working case modeling and partial suppression of equations

In a method for designing a technical system, a technical system is modeled by a predetermined quantity of target functions depending on parameters, each individual target function being weighted with a weighting factor. The method solves a system of equations comprising the parameters and the weighting factors as variables in a variable space, solutions of the system of equations forming working points of a solution space in the variable space. The working points are determined by a predictor-corrector method, according to which a predictor produced by a stochastic variable is determined in the variable space, from a first working point, and a second working point is then determined in a correcting step. The determined working points are used to design the technical system. The method can be used to redesign, modify or adapt an already existing technical system.

Method and arrangement for designing a technical system

A method for adaptively generating a series of random numbers of a 1/f noise is based on the use of normally distributed random numbers. The method enables a need-oriented generation of random numbers of the 1/f noise, whereby additional random numbers of the 1/f noise are also possible during a simulation calculation.

Method for on-demand generation of individual random numbers of a sequence of random numbers of a 1/f noise

A computer programmed to process a method for generating a sequence of random numbers of a 1/f noise has the following steps: 1). Determining a constant step &dgr; or instants of consideration t to t ; 2). Determining a desired spectral value &bgr;; 3). Determining the number n of the random numbers, to be generated, of a 1/f noise; 4). Determining an intensity constant const; 5). forming a covariance matrix of dimension (n&times;n); and 6). Forming the Cholesky decomposition of the covariance matrix , with the following steps being carried out for each sequence, to be generated, of random numbers of a 1/f noise: 1). Forming a vector of length n from random numbers normally distributed in &lsqb;0,1&rsqb;, and 2). Generating a vector of length n of the desired 1/f-distributed random numbers by multiplying the Cholesky-decomposition by the vector .

Method for generating a sequence of random numbers of A 1/f-noise

In the control of a power station installation having a number of power station blocks, in which each power station block is controlled by using at least one reference variable, it is intended to permit reliable determination of especially favorable reference variables while also taking the current installation condition into account. To this end, a management system for the power station installation includes a computer unit which determines reference variables for the power station block or for each of the power station blocks through the use of a genetic algorithm, and an optimization module which is connected to the computer unit. The optimization module is connected to a number of neural networks and one neural network is assigned to each power station block.

Growing community of inventors

Übersee, Germany

Claus Hillermeier