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Enhancing Reliability of an Industrial Blower Through Bearing Design Modification: An Industrial Case Study


Authors : Sanjiv K. Kamble

Volume/Issue : Volume 11 - 2026, Issue 7 - July


Google Scholar : https://tinyurl.com/4xeaeemr

Scribd : https://tinyurl.com/2vr235we

DOI : https://doi.org/10.38124/ijisrt/26jul361

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.


Abstract : Industrial blowers operating under continuous service are susceptible to premature bearing failures, leading to increased maintenance costs, and reduced blower reliability. This paper presents an industrial case study on enhancing blower reliability through a bearing design modification implemented to address recurring bearing failures. Detailed vibration analysis, bearing condition assessment, and operating parameter evaluation identified the limitations of the original bearing arrangement. A redesigned bearing configuration with improved load distribution, lubrication effectiveness, and axial support was developed and implemented. Performance evaluation before and after the modification demonstrated a significant reduction in vibration levels, operating temperature, and bearing wear, resulting in extended bearing service life and improved blower availability. The study highlights the importance of integrating vibration-based condition monitoring with engineering design improvements to eliminate recurring failures. The proposed methodology provides a practical and cost-effective approach for improving the reliability and operational performance of industrial rotating machinery.

Keywords : Blower, Mean Time Between Failures , Reliability, Inedicuate , Bearing Load Carrying Capacity, Root Casuse Analysis, Component; Formatting; Style; Styling; Insert.

References :

  1. T. A. Harris and M. N. Kotzalas, Rolling Bearing Analysis, 5th ed. Boca Raton, FL, USA: CRC Press,   2007.
  2. R. B. Randall, Vibration-based Condition Monitoring: Industrial, Aerospace and Automotive Applications. Chichester, U.K.: John Wiley & Sons, 2011.
  3. J. M. Mobley, An Introduction to Predictive Maintenance, 2nd ed. Burlington, MA, USA: Butterworth-Heinemann, 2002.
  4. SKF Group, Rolling Bearings Catalogue, Publication 10000 EN. Gothenburg, Sweden: SKF, 2018.
  5. Schaeffler Technologies AG & Co. KG, Rolling Bearing Catalogue HR1. Herzogenaurach, Germany: Schaeffler, 2019.
  6. R. B. Randall, Vibration-based Condition Monitoring: Industrial, Aerospace and Automotive Applications. Chichester, U.K.: John Wiley & Sons, 2011.
  7. J. M. Mobley, An Introduction to Predictive Maintenance, 2nd ed. Burlington, MA, USA: Butterworth-Heinemann, 2002
  8. SKF Bearing Catlogue.

Industrial blowers operating under continuous service are susceptible to premature bearing failures, leading to increased maintenance costs, and reduced blower reliability. This paper presents an industrial case study on enhancing blower reliability through a bearing design modification implemented to address recurring bearing failures. Detailed vibration analysis, bearing condition assessment, and operating parameter evaluation identified the limitations of the original bearing arrangement. A redesigned bearing configuration with improved load distribution, lubrication effectiveness, and axial support was developed and implemented. Performance evaluation before and after the modification demonstrated a significant reduction in vibration levels, operating temperature, and bearing wear, resulting in extended bearing service life and improved blower availability. The study highlights the importance of integrating vibration-based condition monitoring with engineering design improvements to eliminate recurring failures. The proposed methodology provides a practical and cost-effective approach for improving the reliability and operational performance of industrial rotating machinery.

Keywords : Blower, Mean Time Between Failures , Reliability, Inedicuate , Bearing Load Carrying Capacity, Root Casuse Analysis, Component; Formatting; Style; Styling; Insert.

Paper Submission Last Date
31 - August - 2026

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