A novel hybrid and publicly available model for spur gear vibrations based on an efficient dynamic model

TL;DR

This paper introduces a new hybrid dynamic model for spur gear vibrations that is both computationally efficient and publicly accessible, improving the accuracy of simulations and aiding research in machinery diagnostics.

Contribution

A novel hybrid model combining realistic gear vibration simulation with an enhancement process, available via an easy-to-use API for improved research and diagnostics.

Findings

Model generates data within seconds

Effective across various fault types and severities

Bridges the gap between simulation and real-world data

Abstract

Dynamic models hold great potential for research and development in signal processing, machine learning, and digital twin algorithms for diagnosing rotating machinery. Various studies have suggested dynamic models of gears, employing many model approaches. However, there is currently a lack of a computationally efficient and publicly accessible model that accurately represents real-world data. In this study, we propose a novel hybrid model that integrates a realistic and efficiently validated dynamic model of spur gear vibrations with an enhancement process aimed at bridging the gap between simulation and reality. This process minimizes discrepancies between features extracted from simulated and measured data through fine-tuning of the model hyperparameters. The effectiveness of this hybrid model is demonstrated across numerous test apparatuses, encompassing several types of faults, severities, and speeds. The new hybrid model, inclusive of an upgraded dynamic model, generates data swiftly within seconds and is made publicly available with a user-friendly application programming interface and a detailed user manual. The novel suggested hybrid model has great potential to enhance future research in model-based studies, including machine learning, signal processing, and digital twin approaches. The user manual can be found in the following link: https://github.com/PHM-BGU/public_dynamic_model_for_gear_vibrations