Abstract
The kurtogram analysis presents some limitations when diagnosing gearbox systems, particularly in time domain. Its envelop signal analysis is not able to detect any defects. This paper presents a new approach to enhance the detection and diagnosis in gearbox systems. This new approach is based on Maximum Correlated Kurtosis Deconvolution combined with Spectral Kurtosis fault diagnosis methodology. This technique allows us to obtain better detection in the gearbox system which is not the case of the spectral kurtosis analysis alone. For this purpose, a dynamical model of a simple stage gearbox is proposed. The approach can detect and identify at early stage the gearbox and also the crack tooth defects.
Highlights
Reducers gears are widely used in mechanics; they are used in all types of industries, such as in processes; automotive, flying, cement plants, refineries
This paper presents the use of Maximum Correlated Kurtosis Deconvolution (MCKD) filter combined with Spectral Kurtosis in the early detection and advancement monitoring of gear tooth crack fault
This paper presents a new approach to enhance the supervision and diagnostic capability of spectral kurtosis
Summary
Reducers (or multipliers) gears are widely used in mechanics; they are used in all types of industries, such as in processes; automotive (gear boxes), flying (helicopters), cement plants, refineries. Many signal processing techniques have been developed [14] They have been proposed for the diagnosis and detection of gear faults in early stages of their appearance. Techniques based on Fourier analysis, give satisfactory results for defect qualified as ‘simple defect’, (they are the mostly used), such as the unbalance system, some bearing fault They are often ineffective when defects are characterized by complex variations of the spectrum, and for non-stationarity in the vibration signal. This paper presents the use of Maximum Correlated Kurtosis Deconvolution (MCKD) filter combined with Spectral Kurtosis in the early detection and advancement monitoring of gear tooth crack fault For this purpose, an electromechanical system consisting of one stage gear box (with and without defects) is proposed. This method is suited for such diagnosis and gives valuable and efficient information about the presence and effects of tooth crack defect
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