Wojciech Kapłonek, Krzysztof Nadolny and Grzegorz M. Królczyk
 Wang, L., Gao, R.X. (Eds.) (2006). Condition Monitoring and Control for Intelligent Manufacturing. Springer.
 Wegener, K., Hoffmeister, H.W., Karpuschewski, B., Kuster, F., Hahmann, W.C., Rabiey, M. (2011). Conditioning and monitoring of grinding wheels. CIRP Annals-Manufacturing Technology, 60 (2), 757-777.
 Darafon, A., Warkentin, A., Bauer, R. (2013). Characterization of grinding wheel topography using a white chromatic sensor. International Journal of Machine Tools and Manufacture, 70
-drive system, Int. J. Mach. Tool Manu., 39 (1999) 1087-1101.
 J. Bryan, International status of thermal error research, Ann. CIRP 39 (2) (1990) 645-656.
 R. Ramesh, M.A. Mannan, A.N. Po, Thermal error measurement and modeling in machine tools. Part I. Influence of varying operation conditions, Int. J. Mach. Tool Manu., 43 (2003) 391-404.
 M. Kowal, R. Staniek, Compensation system for thermal deformation of ball screws, Proceedings of the 12th Biennial Conference on Engineering Systems Design and Analysis, ESDA 20469
Jenn-Yih Chen, Bean-Yin Lee, Kuang-Chyi Lee and Zhao-Kai Chen
Schulz, H., Hock, S. (1995). High-speed milling of die and molds - cutting conditions and technology. CIRP Ann. - Manuf. Technol. , 44, 35-38.
Dobrzanski, L. A., Golombek, K., Mikula, J., Pakula, D. (2006). Cutting ability improvement of coated tool materials. J. Achiev. Mater. Manuf. Eng. , 17, 41-44.
Niranjan Prasad, K., Ramamoorthy, B. (2001). Tool wear evaluation by stereo vision and prediction by artificial neural network. J. Mater. Process. Technol. , 112, 43
Three-Dimensional Structures, J. Med. Chem, 47, 2004, 2977-2980.
 Stefano Forli, Raccoon—AutoDock VS: an automated tool for preparing AutoDock virtual screenings, http://autodock.scripps.edu/resources/raccoon , Accessed: 2016-01-10.
 G. M. Morris and R. Huey and W. Lindstrom and M. F. Sanner and R. K. Belew and D. S. Goodsell and A. J. Olson, Autodock4 and AutoDockTools4: automated docking with selective receptor flexibility, J. Computational Chemistry, 16, 2009, 2785-2791.
 P. G. Polishchuk and T. I. Madzhidov and A. Varnek, Estimation of
Tanaka, K. et al. (2007). Development of an ultraprecision machine tool. Journal of Japan Society for Abrasive Technology , 51, 553-558.
Gao, W. (2005). Precision nanometrology and its appications to precision nanosystems. International Journal of Precision Engineering and Manufacturing , 6, 14-20.
Kiyono, S., Gao, W. (1994). Profile measurement of machined surface with a new dirrerential method. Precision Engineering , 16, 212-218.
 ISO 10791-1;2015: Test conditions for machining centres - Part 1: Geometric tests for machines with horizontal spindle (horizontal Z-axis)
 ISO 10791-2;2001 : Test conditions for machining centres - Part 2: Geometric tests for machines with vertical spindle or universal heads with vertical primary rotary axis (vertical Z-axis)
 ISO 841; 2001 : Industrial automation systems and integration. Numerical control of machines. Coordinate system and motion nomenclature
 ISO TR-16907; 2015 : Machine tools – numerical
.W.; Mitchell, B.J. (2008)The Basic of Balancing, Balance Technology Inc.
Haimer (2009) Manual Haimer Tool Dynamic
ISO 1940/1 (2003) Mechanical vibration. Balance quality requirements for rotors in a constant (rigid) state.
Kováč, M.; Zvončan, M.; Peterka, J. (2011) Influence of tool balancing on machined surface quality in High Speed Machining, Journal of Production Engineering, vol. 15 (1), p. 11-14. ISSN : 1863-7353
Layne, M.H. (2007) Detecting and Correcting Unbalance in Toolholders for High
estimation using artificial neural network: Application on a wing rib”, Advances in Engineering Software, 125, 113 – 125, 2018.
7. Nick Hand, Yu Feng, Florian Beutler, Yin Li, Chirag Modi, Uroš Seljak, and Zachary Slepian, “ nbodykit: An Open-source, Massively Parallel Toolkit for Large-scale Structure”, The Astronomical Journal, 156, 4, 2018.
8. David M. Rosenberg and Charles C. Horn, “Neurophysiological analytics for all! Free open-source software tools for documenting, analyzing, visualizing, and sharing using electronic notebooks”, Journal of
Accordingly to recommendations set out by standards, degradation curves which will serve as a tool facilitating decision-making regarding renovation works ought to be developed. The article presents the proposal of a model for predicting the aging of a residential building. The proposed PRRD (Prediction of Reliability According to Rayleigh Distribution) model determines the performance characteristics of a building over the full period of its use. PRRD accounts for the life spans of individual building components. Additionally introduced in the model were supplements accounting for the intensity of changes in the building and its surroundings. The developed method of the non-linear degradation process of a building accounts for the role and weights of individual building components as well as the intensity of significant factors influencing the aging process. The presented methodology of the description of changes in the performance characteristics over the course of using a building will be a diagnostic process of predicting the technical state of a building. The proposed predictions can serve as the basis for making the right strategic decisions when planning renovation works in residential buildings.