To evaluate the effectiveness of the proposed method, different methods in this paper are conducted for the experiment comparison. Then, the wheel degradation at measured distance k is predicted by the Gated Recurrent Unit (GRU) network. Hence, this paper uses the time series generator adversarial network (TimeGAN) to generate synthetic wheel degradation, in which the original data is segmented through a sliding window to obtain more input sets, and the noise distribution in the generator network is combined with the stationary gamma process (SGP). There are few wheels degradation samples, which in turn makes the wheel degradation prediction have large errors. Among them, as wheels are prone to wear degradation and the wear data acquisition process has the disadvantages of high cost and long cycle. Springer, Dordrecht (2000).To ensure the safe operation of high-speed railways, it is necessary to assess the reliability of its key components. Triantaphyllou, E.: Multi-criteria Decision Making: A Comparative Study. Tofallis, C.: Add or multiply? A tutorial on ranking and choosing with multiple criteria. Saaty, T.L.: Hu G: Ranking by eigenvector versus other methods in the analytic hierarchy process. Saaty, T.: The Analytic Hierarchy Process. Pallud, J., Straub, D.W.: Effective website design for experience-influenced environments: the case of high culture museums. (eds.) Smart Tourism as a Driver for Culture and Sustainability. Martinis, A., Papadatou, A., Kabassi, K.: An analysis of the electronic presence of national parks in Greece. Lopatovska, I.: Museum website features, aesthetics, and visitors’ impressions: a case study of four museums. (eds.) Innovative Approaches to Tourism and Leisure.

Kabassi, K., Martinis, A.: Multi-criteria decision making in the evaluation of the thematic museums’ websites. Kabassi, K., Martinis, A.: Evaluating the electronic presence of protected areas managing boards in Greece using a combination of different methods and theories.

Kabassi, K., Maravelakis, E., Konstantaras, A.: Heuristics and fuzzy multi-criteria decision making for evaluating museum virtual tours. Kabassi, Κ, Amelio, Α, Komianos, V., Oikonomou, K.: Evaluating museum virtual tours: the case study of Italy. Kabassi, Κ, Karydis, C., Botonis, A.: AHP, Fuzzy SAW and Fuzzy WPM for the evaluation of cultural websites. Kabassi, Κ, Botonis, A., Karydis, C.: Evaluating websites of specialised cultural content using fuzzy multi-criteria decision making theories.

Kabassi, K.: Evaluating museum websites using a combination of decision-making theories. Kabassi, K.: Evaluating websites of museums: state of the art. įishburn, P.C.: Letter to the editor-additive utilities with incomplete product sets: application to priorities and assignments. Cunliffe, D., Kritou, E., Tudhope, D.: Usability evaluation for museum web sites.

Reliability of an experiment