A Review on Gearbox Condition Monitoring and Signal Analysis Techniques: A Review on Gearbox Condition

A Review on Gearbox Condition Monitoring and Signal Analysis Techniques

A Review on Gearbox Condition

Authors

  • Nithin S K Department of Biomedical and robotic Engineering, Mysore University School of Enginweing, Mysore, Karnataka, India
  • S K Ramalinge Gowda Department of Forest, Indian Forest Service (Retd), India
  • Rayappa Shrinivas Mahale Assistant Professor Department of Mechanical Engineering Jain College of Engineering and Research Belgaum India
  • Adarsh Patil School of Mechanical Engineering, KLE Technological University, Hubballi, Karnataka, India

Abstract

The manufacturing industry propels the globe forward. Every manufacturing business has many machines and gears for power conversion, speed reduction, and torque amplification, and many of them can be controlled. It is projected that 10 million new gearboxes enter service each year, with a total component value of more than $5 billion. The reliability of gear driven machinery and gearboxes is critical to industry's economic viability. Any malfunction in the machinery can lead to a significant breakdown expense. This paper includes a review of the literature on methods for signal analysis and gearbox condition monitoring. The approaches and components utilised in condition monitoring are covered in this paper. The vibration signal of a gearbox contains the signature of a gear failure, so it can be used to identify gearbox breakdowns early on by analysing the signal using various signal processing techniques. For equipment monitoring, gearbox vibration analysis is an easy, affordable, and reliable way to identify issues early on and save expensive gearbox repairs and unplanned shutdowns.

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Published

2024-04-10 — Updated on 2024-04-10

Issue

Section

Multidisciplinary

How to Cite

A Review on Gearbox Condition Monitoring and Signal Analysis Techniques: A Review on Gearbox Condition (N. . S K, S. K. . Ramalinge Gowda, Rayappa Shrinivas Mahale, & A. . Patil , Trans.). (2024). Scientific Hypotheses, 1, 36-46. https://doi.org/10.69530/15vwy749