Efficient Methodology for Estimation of Vibration Thresholds for Electrical Machines

Author:

Ganga D.,Ramachandran V.

Publisher

Springer Singapore

Reference12 articles.

1. Vishwakarma, M., Purohit, R., Harshlata, V., Rajput, P.: Vibration analysis & condition monitoring for rotating machines: a review. In: Materials Today: Proceedings of 5th International Conference of Materials Processing and Characterization (ICMPC 2016), pp. 2659–2664. Elsevier Ltd. (2017)

2. Al-Badour, F., Sunar, M., Cheded, L.: Vibration analysis of rotating machinery using time–frequency analysis and wavelet techniques. Mech. Syst. Signal Process. 25, 2083–2101 (2011)

3. Galar, D., Sandborn, P., Kumar, U., Johansson, C.-A.: SMART: integrating human safety risk assessment with asset integrity. In: Dalpiaz, G., D’Elia, G., Rubini, R., Cocconcelli, M., Chaari, F., Haddar, M., Zimroz, R., Bartelmus, W. (eds.) Proceedings of the Third International Conference on Condition Monitoring of Machinery in Non-Stationary Operations CMMNO 2013, LNME, vol. 7, pp. 37–59. Springer, Heidelberg (2014)

4. Straczkiewicz, M., Barszcz, T., Jablonski, A.: Detection and classification of alarm threshold violations in condition monitoring systems working in highly varying operational conditions. J. Phys: Conf. Ser. 628, 1–8 (2015)

5. Cardona-Morales, O., Alvarez-Marin, D., Castellanos-Dominguez, G.: Condition monitoring under non-stationary operating conditions using time–frequency representation-based dynamic features. In: Dalpiaz, G., D’Elia, G., Rubini, R., Cocconcelli, M., Chaari, F., Haddar, M., Zimroz, R., Bartelmus, W. (eds.) Proceedings of the Third International Conference on Condition Monitoring of Machinery in Non-Stationary Operations CMMNO 2013, LNME, vol. 7, pp. 441–451. Springer, Heidelberg (2014)

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