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References [1] BRYANT A., MAWBY P., RAN L., TAVNER P., XIANG D., YANG S., Condition Monitoring for Device Reliability in Power Electronic Converters. A review, IEEE Trans. Power Electron., 2010, 25(11), 2734-2752. [2] WOLFGANG E., Examples for failures in power electronics systems, ECPE Tutorial Relative Power Electronic Systems, Nuremberg, Germany, April 2007, 154-160. [3] EDELMOSER K., ERTL H., KOLAR J.W., ZACH F.C., A Novel Method for On-Line Monitoring and Managing of Electrolytic Capacitors of DC Voltage Link PWM Converters, Power Electronics, Intelligent


With the growing demand for application of metal-oxide varistor (MOV) in low-voltage electronic circuits for overvoltage protection, it is necessary to ensure its performance to avoid the short-circuit and the line-to-ground fault during operation. In this paper, a precise leakage current analyzer was developed to detect the total leakage current and third harmonic component of MOV for its condition monitoring. The voltage- and temperature-dependent measuring uncertainties were compensated using the multipliers. In addition, the deterioration characteristics of the MOV and the newly developed thermally protected metal-oxide varistor (TMOV) were investigated in the accelerated aging test. From the experimental results, the MOV deteriorated much faster under the lightning current impulse synchronized with power-frequency voltage. The thermally activated fuse of TMOV exploded under two types of impulses, which indicated that the TMOV is much more vulnerable and that it is difficult to diagnose the condition of energized TMOV in advance.

References [1] Ward, C. P., Dixon, R., Weston, P. F., Stewart, E. J. C., Charles, G., Goodall, R. M., Roberts, C., Mei, T. X., Li, H. Condition monitoring opportunities using vehicle-based sensors. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit. vol 225, 2011, no. 3, p. 202-218. [2] Foeillet, G., Coudert, F., Delcourt, V. IRIS 320 is a global concept inspection vehicle merging engineering and R&D tools for infrastructure maintenance. In Proceedings of the Eight World Congress on Railway research, Seoul, South

References Bartelmus W., Zimroz Z. and Batra H. (2003). Gearbox vibration signal preprocessing and input values choice for neural network training, Proceedings of the Conference on AI Methods , Gliwice, Poland. Cempel C. (1999). Innovative developments in systems condition monitoring, Keynote Lecture, Proceedings of the Conference on Damage Assessment DAMAS'99 , Dublin, Ireland, pp. 172-188. Cempel C., Natke H. G. and Yao J. P. T. (2000). Symptom reliability and hazard for systems condition monitoring, Mechanical Systems and Signal Processing 14(3): 495

REFERENCES [1] Ezugwu, E. O. “Key improvements in the machining of difficult to cut aerospace superalloys”, International Journal of Machine Tools and Manufacture 45 (12–13), pp. 1353 – 1367, 2005 . DOI: 10.1016/j.ijmachtools.2005.02.003 [2] Olovsjo, S., Nyborg, L. “Influence of micro structure on wear behavior of uncoated WC tools in turning of Alloy718 and Waspalloy”, Wear 282–283, pp. 12 – 21, 2012 . DOI: 10.1016/j.wear.2012.01.004 [3] Xiaozhi, C., Beizhi, L. “AE method for tool condition monitoring based on wavelet analysis”, International Journal of

References [1] C-A. Johansson, D. Galar, R. Villarejo and M. Monnin, ”Green Condition based Maintenance - an integrated system approach for health assessment and energy optimization of manufacturing machines”, in The 10th Int. Conf. on Condition Monitoring and Machinery Failure Prevention Technologies, Kraków, Poland, 2013, pp. 1069-1084. [2] J.L. Stein and C-H. Wang, “Analysis of Power Monitoring on AC Induction Drive Systems”, Journal of Dynamic Systems, Measurement, and Control, vol. 112, no. 2, p p. 239-248, 1990. [3] F. Zhao, X. Mei, T. Tao, G. Jiang and Y

1 Introduction Condition monitoring is a maintenance technique for the diagnosis of defects in machineries, while it is in working mode so that its operation will not be interrupted [ 1 ]. It acts as an effective tool in the forecasting of maintenance and also avoids the chances of catastrophic failure [ 2 ]. Thermal power plants require continuous operation of a number of pumps for effective generation of electricity. Various pumps used in thermal power plants include boiler feed water pump, condensate extraction pump, auxiliary cooling water pump, ash disposal


In the petroleum, natural gas and petrochemical industries, great attention is being paid to safety, reliability and maintainability of equipment. There are a number of technologies to monitor, control, and maintain gas, oil, water, and sewer pipelines. The paper focuses on operational modal analysis (OMA) application for condition monitoring of operating pipelines. Special focus is on the topicality of OMA for definition of the dynamic features of the pipeline (frequencies and mode shapes) in operation. The research was conducted using two operating laboratory models imitated a part of the operating pipeline. The results of finite-element modeling, identification of pipe natural modes and its modification under the influence of virtual failure are discussed. The work considers the results of experimental research of dynamic behavior of the operating pipe models using one of OMA techniques and comparing dynamic properties with the modeled data. The study results demonstrate sensitivity of modal shape parameters to modification of operating pipeline technical state. Two strategies of pipeline repair – with continuously condition-based monitoring with proposed technology and without such monitoring, was discussed. Markov chain reliability models for each strategy were analyzed and reliability improvement factor for proposed technology of monitoring in compare with traditional one was evaluated. It is resumed about ability of operating pipeline condition monitoring by measuring dynamic deformations of the operating pipe and OMA techniques application for dynamic properties extraction.

-Destructive Testing and Condition Monitoring, vol. 54, no. 8, pp. 440-445, 2012. [17] L. Soibelman and H. Kim, “Data preparation process for construction knowledge generation through knowledge discovery in databases”, Journal of Computing in Civil Engineering, vol. 16, no. 1, pp. 39-48, 2002. [18] W. Tianhao, F.M. Khan, T.A. Fisher, L.A. Shuler and W.M. Pottenger, “Posting Act Tagging Using Transformation- Based Learning”, in Proc. of the Workshop on Foundations of Data Mining and Discovery, 1992. [19] C. Stenström, A. Parida, J. Lundberg and U. Kumar, ”Development of an integrity

R eferences [1] B. Bhalja, R. P. Maheshwari, and N. G. Chothani, Protection and switchgear , Second edition. New Delhi, India: Oxford University Press, 2017. [2] S. Pai, N. Bansal, K. Desai, A. Doshi, D. Moharkar, and M. Pathare, “Intelligent PLC based transformer cooling control system,” International Conference on Nascent Technologies in Engineering (ICNTE), pp. 1–6, 2017. [3] M. S. Ballal, G. C. Jaiswal, D. R. Tutkane, P. A. Venikar, M. K. Mishra, and H. M. Suryawanshi, “Online condition monitoring system for