The rapid expansion of wind farms has accelerated research into improving the reliability of wind turbines to reduce operational and maintenance costs. A critical component in wind turbine drive-trains is the gearbox, which is prone to different types of failures due to long-term operation under tough environments, variable speeds and alternating loads. To detect gearbox fault early, a method i...

In this paper, an analysis model of planetary gearbox housing is constructed based on finite element method/boundary element method (FEM/BEM). Its vibration and acoustic radiation characteristics are investigated. Firstly, the finite element model is established using ABAQUS. The main factors affecting its dynamic characteristics are observed through modal analysis. Then impact of main structur...

This paper describes two case-studies that exercised a big data framework, data mining, machine learning (ML) algorithms, and predictive analytics to improve the accuracy of aircraft engine health monitoring and HUMS-based condition indicators’ (CI) ability to predict gearbox removals. In the first example machine learning algorithms operating on multiple data sources produce useful insights to...

this paper concentrates on a new procedure which experimentally recognises gears and bearings faults of a typical gearbox system using a least square support vector machine (lssvm). two wavelet selection criteria maximum energy to shannon entropy ratio and maximum relative wavelet energy are used and compared to select an appropriate wavelet for feature extraction. the fault diagnosis method co...

this paper concentrates on a new procedure which experimentally recognises gears and bearings faults of a typical gearbox system using a least square support vector machine (lssvm). two wavelet selection criteria maximum energy to shannon entropy ratio and maximum relative wavelet energy are used and compared to select an appropriate wavelet for feature extraction. the fault diagnosis method co...

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This paper proposes a scheme for the tolerance specification that uses the features’ function information and mating condition attributes in the assembly to derive an appropriate tolerance specification as per the design intents. The proposed mirror method provides a way to locate the critical components. It helps the user identify functional features and group them into clusters. Temporary DRF...

A powerful optimization method is proposed in this study for the minimal dimensional design problem of gearbox. It is a general model that is suitable to use for any series of gear drives system and can extract both dimensional and layout of components-limited optimization design together. The objective function in this study has many local extremes so for avoiding this situation, various const...