Light-weight composite environmental performance indicators (LWC-EPI)

Magdeburg, Univ., Fak. für Informatik, Diss., 2014

The classification of technical equipment states, using a neural nets approach

The Maser thesis is devoted to developing a model to technical state of gas turbine engine estimation. The approaches to preparation data, especially to handle unbalanced data were presented in the thesis. In order to efficient estimation of model performance, the special metric was chosen. Goal of the master thesis is analyzing of monitoring parameters data and developing a model of technical state of GTE estimation based on the data.

An Approach to Assessment of the Technical Condition of Overhead Transmission Lines

The approach of estimating the current state of the overhead transmission lines is considering. The performance functions of the overhead transmission lines has been generated on the basis of experimental data and reports. Results of simulation of the approximation functions for overhead transmission lines are analyzed.

Handling the Problem of Unbalanced Data Sets in the Classification of Technical Equipment States

Questions of handling unbalanced data considered in this article. As models for classification, PNN and MLP are used. Problem of estimation of model performance in case of unbalanced training set is solved. Several methods (clustering approach and boosting approach) considered as useful to deal with the problem of input data.