Journal ArticleDOI
Adaptive state detection of gearboxes under varying load conditions based on parametric modelling
TLDR
In this article, the authors proposed a novel technique for state detection of gearbox, which fits a time-varying autoregressive model to the gear motion residual signals applying a noise-adaptive Kalman filter, in the healthy state of the target gear.About:
This article is published in Mechanical Systems and Signal Processing.The article was published on 2006-01-01. It has received 107 citations till now. The article focuses on the topics: Autoregressive model & Residual.read more
Citations
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Journal ArticleDOI
Prognostics and health management design for rotary machinery systems—Reviews, methodology and applications
TL;DR: A comprehensive review of the PHM field is provided, followed by an introduction of a systematic PHM design methodology, 5S methodology, for converting data to prognostics information, to enable rapid customization and integration of PHM systems for diverse applications.
Journal ArticleDOI
Prognostics and Health Management: A Review of Vibration Based Bearing and Gear Health Indicators
TL;DR: A thorough review of vibration-based bearing and gear health indicators constructed from mechanical signal processing, modeling, and machine learning is presented and provides a basis for predicting the remaining useful life of bearings and gears.
Journal ArticleDOI
A new feature for monitoring the condition of gearboxes in non-stationary operating conditions
Walter Bartelmus,Radoslaw Zimroz +1 more
TL;DR: Bartelmus et al. as mentioned in this paper introduced a new diagnostic feature, which can be used for monitoring the condition of planetary gearboxes in time-variable operating conditions, which exploits the fact that a bad condition is more susceptible (yielding) to load than the gearbox in good condition.
Journal ArticleDOI
Vibration condition monitoring of planetary gearbox under varying external load
Walter Bartelmus,Radoslaw Zimroz +1 more
TL;DR: In this paper, it is shown that the most important factor of the proper planetary gearbox condition is connected with perturbation of arm rotation, where an arm rotation gives rise to a specific vibration signal whose properties are depicted by a short-time Fourier transform and Wigner-Ville distribution presented as a time-frequency map.
Journal ArticleDOI
Parametric time-domain methods for non-stationary random vibration modelling and analysis — A critical survey and comparison
TL;DR: A critical survey and comparison ofparametric time-domain methods for non-stationary random vibration modelling and analysis based upon a single vibration signal realization confirms the advantages and high performance characteristics of parametric methods.
References
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Journal ArticleDOI
Feature Extraction Based on Morlet Wavelet and its Application for Mechanical Fault Diagnosis
Jing Lin,Liangsheng Qu +1 more
TL;DR: In this paper, a denoising method based on wavelet analysis is applied to feature extraction for mechanical vibration signals, which is an advanced version of the famous soft thresholding denoizing method proposed by Donoho and Johnstone.
Journal ArticleDOI
Detecting Fatigue Cracks in Gears by Amplitude and Phase Demodulation of the Meshing Vibration
TL;DR: Selection des fissures de fatigue dans les engrenages by demodulation de l'amplitude and de la phase des vibrations au cours de lengrenement as discussed by the authors.
Journal ArticleDOI
Effectiveness and Sensitivity of Vibration Processing Techniques for Local Fault Detection in Gears
TL;DR: In this paper, a gear pair affected by a fatigue crack is compared with those obtained by means of the well-accepted cepstrum analysis and time-synchronous average analysis.
Journal ArticleDOI
Adaptive AR modeling of nonstationary time series by means of Kalman filtering
TL;DR: An adaptive on-line procedure is presented for autoregressive (AR) modeling of nonstationary multivariate time series by means of Kalman filtering and an application with experimental EEG data supported observations that the development of coherences among cell assemblies of the brain is a basic element of associative learning or conditioning.
Journal ArticleDOI
A comparative study of acoustic and vibration signals in detection of gear failures using Wigner-Ville distribution.
Naim Baydar,Andrew Ball +1 more
TL;DR: In this paper, the authors examined whether acoustic signals can be used effectively to detect the various local faults in gearboxes using the smoothed pseudo-Wigner-Ville distribution.
Related Papers (5)
Vibration condition monitoring of planetary gearbox under varying external load
Walter Bartelmus,Radoslaw Zimroz +1 more
A new feature for monitoring the condition of gearboxes in non-stationary operating conditions
Walter Bartelmus,Radoslaw Zimroz +1 more