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Walter Bartelmus

Bio: Walter Bartelmus is an academic researcher from Wrocław University of Technology. The author has contributed to research in topics: Condition monitoring & Fault detection and isolation. The author has an hindex of 16, co-authored 45 publications receiving 1644 citations.

Papers
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Journal ArticleDOI
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.

296 citations

Journal ArticleDOI
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.

249 citations

Journal ArticleDOI
TL;DR: In this article, the results of computer simulations and results obtained by laboratory rigs and field practice are compared, and different factors are taken into consideration: design factors, production technology factors, operational factors and change of condition factors.

175 citations

Journal ArticleDOI
TL;DR: In this paper, a diagnostic approach is proposed for bearing used in wind turbines, which uses parameters obtained from commercial diagnostic system (peak-to-peak and root mean square (RMS) of vibration acceleration, and generator power that is related to the operating conditions).

157 citations

Journal ArticleDOI
TL;DR: In this paper, two models of gearboxes (a fixed-axis two-stage gearbox and a planetary gearbox) operating under varying load conditions are proposed, and an original transmission error function expressing changes in technical condition and load variation is presented.
Abstract: Fault detection and diagnosis in mechanical systems during their time-varying nonstationary operation is one of the most challenging issues. In the last two decades or so researches have noticed that machines work in nonstationary load/speed conditions during their normal operation. Diagnostic features for gearboxes were found to be load dependent. This was experimentally confirmed by a smearing effect in the spectrum. In order to better understand the involved phenomena and to ensure agreement between simulation and experimental results, two models of gearboxes (a fixed-axis two-stage gearbox and a planetary gearbox) operating under varying load conditions are proposed. The models are based on two mechanical systems used in the mining industry, i.e. the belt conveyor and the bucket wheel excavator. An original transmission error function expressing changes in technical condition and load variation is presented. Energy based parameters (the signal RMS value or the arithmetic sum of the amplitudes of spectral gearmesh components) are adopted as the diagnostic features. Simulation results show a strong correlation between load values, changes in condition and the diagnostic features. The findings are key to condition monitoring. Thanks to the use of the models one can better understand the phenomena identified through an analysis of vibration signals captured from real machines.

151 citations


Cited by
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01 Jan 2002

9,314 citations

Journal ArticleDOI
TL;DR: This paper attempts to summarise and review the recent research and developments in diagnostics and prognostics of mechanical systems implementing CBM with emphasis on models, algorithms and technologies for data processing and maintenance decision-making.

3,848 citations

Journal ArticleDOI
TL;DR: This paper attempts to survey and summarize the recent research and development of EMD in fault diagnosis of rotating machinery, providing comprehensive references for researchers concerning with this topic and helping them identify further research topics.

1,410 citations

Journal ArticleDOI
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.

1,164 citations

01 Jan 2016
TL;DR: This introduction to robust estimation and hypothesis testing helps people to enjoy a good book with a cup of coffee in the afternoon, instead they cope with some harmful bugs inside their laptop.
Abstract: Thank you very much for downloading introduction to robust estimation and hypothesis testing. As you may know, people have search numerous times for their favorite books like this introduction to robust estimation and hypothesis testing, but end up in harmful downloads. Rather than enjoying a good book with a cup of coffee in the afternoon, instead they cope with some harmful bugs inside their laptop.

968 citations