Virtual Gear Noise Data Interpretation & Diagnostics​

The course Virtual Gear Noise Data Interpretation & Diagnostics provides an in-depth exploration of noise and vibration analysis, with a particular focus on industrial gear systems. Noise and vibrations, while seemingly straightforward in some contexts, present complex challenges in industrial applications, requiring specialised knowledge for accurate interpretation and diagnosis. This seminar equips participants with the theoretical foundations, measurement techniques, and analytical tools needed to effectively assess and address noise and vibration issues in gearboxes and related machinery.

The curriculum begins with the fundamental principles of noise and vibrations, covering their sources, transmission mechanisms, and effects on mechanical systems. It then delves into practical measurement techniques, ensuring participants understand how to capture and analyze relevant data. A significant portion of the course is dedicated to gearbox-specific noise phenomena, including the role of gear geometry, microgeometry, and transmission error in noise generation. Strategies for gear design optimisation are discussed to help minimise unwanted noise and vibrations.

Key noise issues such as rattle (caused by impacts between loosely meshing gears) and whine (a tonal noise resulting from gear meshing frequencies) are examined in detail. The seminar also introduces modal analysis, explaining how structural vibration modes influence noise behaviour, and explores essential signal processing techniques such as time-domain plots, frequency response functions (FRF), Fast Fourier Transform (FFT), and Hilbert Transforms.

To reinforce learning, the course includes real-world case studies from diverse industrial applications, demonstrating practical approaches to diagnosing and resolving noise and vibration challenges. Designed for engineers, technicians, and professionals involved in gear design, maintenance, or NVH (Noise, Vibration, and Harshness) analysis, this seminar bridges theory and application, providing actionable insights for improving system performance and reliability. By the end of the course, participants will have gained the expertise needed to interpret gear noise data accurately and implement effective noise reduction strategies.

To register, please visit the BGA Event Website.