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Journal ArticleDOI

Condition monitoring of a single-stage gearbox with artificially induced gear cracks utilizing on-line vibration and acoustic emission measurements

TLDR
In this paper, the authors present the condition monitoring of a lab-scale, single stage, gearbox using different non-destructive inspection methodologies and the processing of the acquired waveforms with advanced signal processing techniques.
About
This article is published in Applied Acoustics.The article was published on 2009-09-01. It has received 135 citations till now. The article focuses on the topics: Condition monitoring & Acoustic emission.

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Citations
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Journal ArticleDOI

Wind Turbine Condition Monitoring: State-of-the-Art Review, New Trends, and Future Challenges

TL;DR: In this article, a general review and classification of wind turbine condition monitoring methods and techniques with a focus on trends and future challenges is provided, and interesting insights from this research are used to point out strengths and weaknesses in today's WTCM industry and define research priorities needed for the industry to meet the challenges in wind industry technological evolution and market growth.
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Remaining Useful Life Estimation in Rolling Bearings Utilizing Data-Driven Probabilistic E-Support Vectors Regression

TL;DR: A data-driven approach for the remaining useful life (RUL) estimation of rolling element bearings based on ε-Support Vector Regression, with Wiener entropy utilized for the first time in the condition monitoring of rolling bearings.
Journal ArticleDOI

Gearbox condition monitoring in wind turbines: A review

TL;DR: A review on different methods and techniques for gearbox condition monitoring in wind turbines aiming to increase lifetime expectancy of components while reducing operation and maintenance cost is gathered.
Journal ArticleDOI

The combined use of vibration, acoustic emission and oil debris on-line monitoring towards a more effective condition monitoring of rotating machinery

TL;DR: In this article, three on-line monitoring techniques are implemented in the tests and data fusion is accomplished in the level of integration of the most representative among the extracted features from all three measurement technologies in a single data matrix.
Journal ArticleDOI

A Review of Gear Fault Diagnosis Using Various Condition Indicators

TL;DR: In this paper, the authors reviewed and encapsulated the literature on condition indicators for fixed-axis gearboxes and provided a wide and good reference for researchers to be utilized, and summarized the adopted methodologies.
References
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Journal ArticleDOI

Application of wavelets to gearbox vibration signals for fault detection

TL;DR: In this paper, the authors used the wavelet transform to represent all possible types of transients in vibration signals generated by faults in a gearbox and demonstrated the application of the suggested wavelet by a simple computer algorithm.
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A comparative study of acoustic and vibration signals in detection of gear failures using Wigner-Ville distribution.

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.
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A comparative experimental study on the diagnostic and prognostic capabilities of acoustics emission, vibration and spectrometric oil analysis for spur gears

TL;DR: In this paper, an experimental investigation on spur gears in which natural pitting was allowed to occur was conducted, and it was observed that based on the analysis of root mean square (rms) levels only the acoustic emission technique was more sensitive in detecting and monitoring pitting than either the vibration or spectrometric oil analysis (SOA) techniques.
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Early Detection of Gear Failure by Vibration Analysis--I. Calculation of the Time Frequency Distribution

TL;DR: The application of the spectrogram to the calculation of the time-frequency distribution of a gear vibration signal is examined in this article, where it is shown that the Gaussian function is well suited to calculate the energy distribution, giving a representation free from ripple and easy to interpret.
Journal ArticleDOI

Application of orthogonal wavelets to early gear damage detection

TL;DR: Comparison with the non-orthogonal wavelet transform for the same length of discrete data shows that the description of the signal in the 3-dimensional map of the wavelets transform is not sufficiently comprehensive due to limited scales.
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