People
Ing. Natalia Guskova

Ing. Kateřina Grötschelová; Ing. Natalia Guskova; doc. Ing. Andrej Lališ, Ph.D.

In many domains such as aerospace and civil aviation in general, safety assessment is performed with old and outdated methodologies when it comes to complex systems involving software and/or human interactions. Newer and more effective methodologies exist, such as System-Theoretic Process Analysis (STPA), but their adoption and implementation by the industry is rather long and not marked. One of the reasons explaining it is the lack of time to train employees and create new procedures within the organization, as well as the time-demanding nature of the analysis and the related processes . This project tackles this issue by bringing an automation tool that will reduce the time of performing an STPA analysis and will increase its efficiency at the same time. Overall, safety would be increased in organizations willing to implement such a tool to adopt STPA. The challenges will lie in defining a conceptual model as well as defining and formalizing the data that will be mapped to this conceptual model.

2023 - 2024

Studentská grantová soutěž ČVUT - SGS23/137/OHK2/2T/16

Ing. Natalia Guskova; Ing. Martin Kála, Ph.D.; doc. Ing. Andrej Lališ, Ph.D.

The project deals with the development of logistics management for aircraft maintenance organisations. It addresses the overall streamlining of the process of ordering individual parts for replacement on the aircraft, the costs associated with logistics, or the storage of the materials. The data for the solution of this work will be provided by a maintenance organisation based in the Czech Republic. Consultations will be made with both Czech-based organisations and companies from abroad to ensure that the results of the project are applicable in practice. The project will provide a comprehensive overview of representative materials and parts that will bring the most significant streamlining of the aircraft maintenance process. Based on the input data, appropriate statistical methods as well as mathematical formulas and equations will be selected to make the logistics management process more efficient. All of the data collected, a summary of sample materials and parts, statistics and mathematics will be used to develop a mathematical model that will provide comprehensive outputs that will ensure increased efficiency of logistics management for the planning and execution of maintenance of transport aircraft in authorized maintenance organizations which shall reduce costs of maintenance process.

2023 - 2024

Studentská grantová soutěž ČVUT - SGS23/141/OHK2/2T/16

Ing. Michaela Fukalová; Ing. Martin Kála, Ph.D.; prof. Ing. Milan Lánský, DrSc.; Ing. Karel Mündel; Ing. Kateřina Škodová

The project is focused on the development of the integrated safety management, specifically on the method of an integrated procedure for safety occurrence investigation and audits planning and execution in aviation maintenance organizations using data on aviation maintenance planning and execution. The project builds on the theory of Safety-III, i.e. an approach to safety based on systems theory, namely the System-Theoretic Accident Model and Processes (STAMP). It also uses the Unified Foundational Ontology (UFO) as an integration platform for data and software tools, enabling core technical solution for integrating safety and operational data from a maintenance organization, as well as integrating the very safety management system with the system for aviation maintenance planning and execution. The main output of the proposed project will be the Methodology of the integrated approach to safety occurrence investigation and audit planning, which will enable more efficient occurrence investigation as well as more efficient planning of audits in aircraft maintenance. At the same time, the methodology will contribute to the implementation of a systems safety approach in aviation maintenance, reduce the time required for investigating occurrences and preparing for audits and, last but not least, it will contribute to the establishment of a fully integrated management system in aircraft maintenance.

2021 - 2022

Studentská grantová soutěž ČVUT - SGS21/133/OHK2/2T/16

Ing. Kateřina Grötschelová; Ing. Natalia Guskova; Ing. Lenka Hanáková, Ph.D.; Ing. Tomáš Havel; doc. Ing. Bc. Vladimír Socha, Ph.D.

A broad portfolio of available and affordable unmanned aerial vehicles (UAV), their diversity of construction, the level of autonomy and integration of the auto-pilot systems has forced the European Union to modify present drone categorization legislation. New regulation is besides the weight of the UAV now considering also other performance characteristics such as maximum velocity in horizontal flight or maximum height above the launch point. Based on these four specifications is an UAV (drone) assorted into one of the 4 categories. The methodology of testing as well as the testing equipment will greatly influence the accuracy of the proper classification of the product and will affect the pricing. The above will be applicable particularly for the drones of C0 and C1 category with maximum take of weight of 250 g for C0, ev. 900 g for C1. The goal of this project is to propose the affordable methodology of the exact and dynamic testing of the above-mentioned characteristics used for the drone's categorization, in particular the maximum flight height and maximum horizontal speed. The primary focus will be on the Quadro-copters whilst the whole presented project has the ambition to define further flight characteristics that might influence the safety of utilization of unmanned aerial vehicles and their categorization within the valid EU legislation. The outcome of the project will be the creation of the comprehensive methodology of the Quadro-copter testing together with the proposal of the software solution and methodology of the drone categorization in accordance to the selected flight characteristics.

2020 - 2020

Studentská grantová soutěž ČVUT - SGS20/083/OHK2/1T/16

Ing. Simona Bolčeková; Ing. Kateřina Grötschelová; Ing. Natalia Guskova; doc. Ing. Jakub Kraus, Ph.D.; Ing. Oldřich Štumbauer, Ph.D.

Operational safety is an important aspect of aviation and it is necessary to further success and development of aviation. A modern approach to safety management is based on proactive and predictive control methods. Aviation stakeholders typically operate with both approaches, however they are not able to profit from the potential of their integration. The integration of safety studies with the operational safety data leads to the development of smart instrument for optimum management of operational deviation. The creation of a conceptual model of the integration is needed for implementing the instrument. The solution is based on current methods and procedures used by safety engineering, the STPA (System-Theoretic Process Analysis) in particular. The project take use of Unified Foundational Ontology as an unifying means of contemporary conceptual models. The aim is to provide a model of the subject area that will allow the use of results for the integration of data in the software background for the Safety Management System. The resulting solution will be validated in cooperation with Prague Airport. The conceptual model will form the basis for designing and implementing solutions in other areas where safety studies are used.

2019 - 2020

Studentská grantová soutěž ČVUT - SGS19/125/OHK2/2T/16