Simulation of vertical people transportation systems
Gupta, Mukesh Kumar (2021)
Diplomityö
2021
School of Energy Systems, Konetekniikka
Kaikki oikeudet pidätetään.
Julkaisun pysyvä osoite on
http://urn.fi/URN:NBN:fi-fe2021090745458
http://urn.fi/URN:NBN:fi-fe2021090745458
Tiivistelmä
This thesis was focused on generating synthetic data of several parameter configurations from elevator system simulations model that could be utilized in prescriptive maintenance policies. An existing simulation model of the elevator system was used as a foundation for the elevator system model. To represent the characteristics of the studied elevator and to make the model more parametric, new elements were included and multiple modifications were made to the based model. For system simulation of the elevator system, SimulationX software was used.
The simulation model was validated using the measurement data from the real elevator. The maximum peak to peak value at the nominal speed of lateral and vertical vibrations were the main criteria for the model validation. In the validation comparisons, there was a good correlation between measurement data and simulation data. A brief investigation of model behavior was made while replacing one of the components with another component for same functionality in the model.
All together 72 combinations of nominal run parameter configuration were simulated by four different elevator specifications. Sensitive analysis showed that in the majority of cases, the simulation model exhibited its sensitivity and robustness in projecting the dynamic behavior of elevator systems. However, in few cases the deviation of the results from expectation. The fundamental causes for this deviation were investigated and corrective action was suggested to avoid this deviation. Finally, three load case scenarios were modeled and evaluated to showcase the capabilities for other malfunction modeling and more effectively creating synthetic data using dynamic simulation.
The simulation model was validated using the measurement data from the real elevator. The maximum peak to peak value at the nominal speed of lateral and vertical vibrations were the main criteria for the model validation. In the validation comparisons, there was a good correlation between measurement data and simulation data. A brief investigation of model behavior was made while replacing one of the components with another component for same functionality in the model.
All together 72 combinations of nominal run parameter configuration were simulated by four different elevator specifications. Sensitive analysis showed that in the majority of cases, the simulation model exhibited its sensitivity and robustness in projecting the dynamic behavior of elevator systems. However, in few cases the deviation of the results from expectation. The fundamental causes for this deviation were investigated and corrective action was suggested to avoid this deviation. Finally, three load case scenarios were modeled and evaluated to showcase the capabilities for other malfunction modeling and more effectively creating synthetic data using dynamic simulation.