Siemens Aktiengesellschaft

Siemens Mobility Gmbh

Christoph Bergs

Mohamed Khalil

Serghei Mogoreanu

Stefan Boschert

Marcel Hildebrandt

Theodoros Papadopoulos

Swathi Shyam Sunder

Sylvia Glas

For a respective passenger car, a number of passengers situated therein and/or a number of available spaces is determined. A passenger flow simulation is initialized on the basis of the determined numbers is provided. A multiplicity of potential directions of movement are furthermore determined, for which a multiplicity of direction of movement-specific movement profiles are read in. The initialized passenger flow simulation is then executed for a respective movement profile, wherein a distribution value that rates a resultant passenger distribution is determined in each case. From the potential directions of movement, depending on the determined distribution values, specific directions of movement are selected and are output as direction of movement indications on passenger-specific and/or location-specific direction indicators is also provided.

Method and arrangement for distributing passengers in a passenger train

A plurality of basic simulations independent of one another are carried out, which determine respective remaining service life predictions for the machine. The remaining service life predictions and characteristic data are fed to a neural network, which outputs weights for the remaining service life predictions. A final prediction is calculated from the remaining service life predictions by weighting the remaining service life predictions relative to one another. A hybrid model is produced, which results from the combination of the basic simulations with the neural network. The remaining service life can be predicted not only for a small number of machines for which a specific simulation model has been manually created. The hybrid model enables condition monitoring for any further types and configurations of machines that merely belong to the same machine class. The basic simulations can therefore also be applied to previously unknown machines.

Assembly and method for predicting the remaining service life of a machine

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Herzogenrath, Germany

Christoph Bergs