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2021 | OriginalPaper | Buchkapitel

18. IoT-Based Solution to Frequent Tripping of Main Blower of Blast Furnace Through Vibration Analysis

verfasst von : Kshitij Shinghal, Rajul Misra, Amit Saxena

Erschienen in: Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences

Verlag: Springer Singapore

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Abstract

Blower is a very critical machine in the iron making process as it provides cold blast at the desired flow and pressure for utilization at the hot stoves of a Blast Furnace. Therefore, all the Blowers at any industryis to be kept under predictive schedule of vibration monitoring. Routine check-up of Blowers of Blast furnace for preventive maintenance should be carried out at regular interval. During checkup if it is observed that there is a sudden increase in vibration level and abnormal sounds are coming from motor bearings, then necessary maintenance can be carried out to avoid failure of motor. An IoT-based fault analysis sensor system can be installed near the motor for vibration analysis and sending timely alert message to the maintenance team before complete shutdown of the system. The reasons of faults are very common yet very complex, timely detection and transmission of alert through IoT-based system can help to take the corrective actions immediately. Thereafter, the Blower did not trip and the Reliability of the system has improved.

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Metadaten
Titel
IoT-Based Solution to Frequent Tripping of Main Blower of Blast Furnace Through Vibration Analysis
verfasst von
Kshitij Shinghal
Rajul Misra
Amit Saxena
Copyright-Jahr
2021
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-15-7533-4_18

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