IoT-Based Solution to Frequent Tripping of Main Blower of Blast Furnace Through Vibration Analysis
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Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-15-7533-4_18
Reference16 articles.
1. Silva L, Giancotti K, Amaro F, Pires I (2014) Analysis of burn out and random trips at starting of a 2984 kW induction motor driving a main blower. In: 2014 IEEE industry application society annual meeting, Vancouver, BC, pp 1–5. https://doi.org/10.1109/IAS.2014.6978450
2. Silva SM, Cardoso Filho BJ, Cardoso MG, Rocha Braga M (2003) Blower drive system based on synchronous motor with solid salient-pole rotor: performance under starting and voltage sag conditions. IEEE Trans Ind Appl 39(5):1429–1435. https://doi.org/10.1109/tia.2003.816511
3. Silva LA, Giancoti K, Amaro F, Amariz Pires I (2017) Analyzing burn out and random trips at starting: induction motors driving main Blowers. IEEE Ind Appl Mag 23(4):66–75. https://doi.org/10.1109/mias.2016.2600690
4. Misra R, Shinghal K, Saxena A, Agarwal A (2020) Industrial motor bearing fault detection using vibration analysis. In: International conference on intelligent computing and smart communication 2019, algorithms for intelligent systems. Springer Nature Singapore Pte Ltd. https://doi.org/10.1007/978-981-15-0633-8_86
5. Brumbach ME, Clade JA (2012) Industrial maintenance. Cengage Learning
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