RESONANCE 2023

Session

12 juil. 2023 à 14:00

Toulouse

Présidents de session

Survishno 12 / Condition monitoring 3

• Castellani Francesco ()

Liste des contributions Ordre du jour

192. "COMO3#1 - Experimental study on condition indicators for severity estimation of growing spall in bearings."

Bublil Tal

12/07/2023 14:00

Rolling element bearings are essential components for the proper functioning of many types of rotating equipment. Diagnosing faults in bearings has traditionally been done using signal processing techniques inspired by physics, where acceleration signals are analyzed using time-frequency analysis methods. One of the key challenges in classifying the spall severity in practical applications is...

193. "COMO3#2 - Wavelet-based high order spectrum for local damage diagnosis of gears under different operating conditions"

Zhu Rui

12/07/2023 14:20

Gears play an important role in transmission systems, allowing for high performance in terms of load capacity and efficiency. Common gear faults such as cracked teeth and pitted teeth, can occur as a result of contact fatigue, excessive load, or sudden impact. Starting from an initial stage, their steady growth can lead to irreparable damage and unexpected breakdowns that result in economic...

194. "COMO3#3 - Identification of non-informative noise component in time-frequency representations. Application to vibration-based local damage detection"

Wylomanska Agnieszka

12/07/2023 14:40

In this presentation we highlight the importance of the background noise properties in the context of the vibration-based local damage detection. We assume the model is a mixture of signal of interest (SOI) and the noise. In the case, when the background noise has Gaussian characteristics, the classical methods for local damage detection can be applied. In this case, the most common approaches...

195. "COMO3#4 - Robust estimators of autocorrelation function in application to local damage detection for non-Gaussian signals"

Zulawinski Wojciech

12/07/2023 15:00

One of the most common approaches for local damage detection is the cyclostationary analysis. The indicators of cyclostationarity are based on the classical estimation of autocorrelation function (ACF), called sample ACF. It can be applied for the underlying signal in time, time-frequency or frequency-frequency domains. The indicators based on sample ACF are very efficient in case when the...

196. "COMO3#5 - Algorithm for the detection of faults in rolling element bearings running under tacholess and variable rotating speed conditions"

Hernandez Fidel

12/07/2023 15:20

The goal of this research was to implement a new algorithm for the automatic detection of faults in rolling element bearings, in such a way that it does not depend on the estimation of the shaft rotational speed. The idea was that the algorithm could be applied under variable and unknown rotational speed conditions. The proposed algorithm was based on the detection of phase-relationships...

331. COMO3#6 -

12/07/2023 15:40