RESONANCE 2023

Session

11 Jul 2023, 10:40

Toulouse

Conveners

Survishno 3 / Signal Processing

• Gianluca D'Elia ()

Contribution list Timetable

250. "SIGPRO#1 - Towards a self-evaluation of the reconstruction of the instantaneous phase of a vibration signal"

Andre Hugo

11/07/2023, 10:40

The cyclo-stationary nature of rotating machine signals is an essential lever for most diagnostic strategies. For this lever to be operated, the signal must be analysed with a detailed knowledge of the machine's instantaneous frequency. In a context where many monitoring systems do not have access to an adequate angular sensor, the extraction of the instantaneous frequency of the machine from...

251. "SIGPRO#2 - Time and angle analysis of Instantaneous Angular Speed signal: impact on average velocity and order spectrums"

Burel Arthur

11/07/2023, 11:00

To this day, monitoring of rotating machinery by vibration signals has often relied on time-domain signal analysis, for bearing or gear faults to be recognized by the frequency at which they create their very specific impact. However, time domain analysis is not ideal for it implies assuming that the shaft rotates at a constant speed. Even if in certain conditions the rotating speed may be...

252. "SIGPRO#3 - Enhancing the Performance of the Multi-Order Probabilistic Approach in Angular Speed Estimation through Adaptive Window Selection"

Protopapadakis Georgios

11/07/2023, 11:20

The Multi-Order Probabilistic Approach (MOPA) is a method for estimating the instantaneous angular speed from vibration signals with high precision. However, determining the optimal choice of inputs can be challenging as the method requires many input parameters, including the window size selection used to generate the spectrogram for computing the probability density functions. This study...

253. "SIGPRO#4 - Exploring the potential of sparse spectral estimation for vibration analysis"

Peeters Cédric

11/07/2023, 11:40

Recently, sparse signal processing algorithms have attracted much interest in the field of vibration-based machine monitoring as they leverage the assumption that most vibrations are sparse in at least one domain. While a large body of research focuses on the application of sparsity for gear and bearing fault detection in the time and envelope domain, this paper investigates the performance of...

254. "SIGPRO#5 - Design considerations for smartphone camera-based rotational speed measurement"

Verwimp Toby

11/07/2023, 12:00

"Condition monitoring of rotating machinery gains importance in order to optimally schedule maintenance and to guarantee operation safety and production efficiency. Varying speed conditions are common in rotating machinery operations, but pose a challenge for vibration analysis. Nevertheless, a direct measurement or an indirect estimation of the rotational speed can simplify the monitoring...

255. "SIGPRO#6 - Extraction of the acoustic modal content of a turbofan engine in non stationary conditions using order analysis"

Miranda-Fuentes Johann

11/07/2023, 12:20

The analysis of acoustic fields in turbofan engines is a challenging task, due to the geometrical complexity of the ducts, of the multiple noise generation mechanisms and the poor signal-to-noise ratio (SNR) related to the strong flow noise. Modal analysis can be carried out using different kinds of microphone arrays. It is proposed in this work to conduct the analysis on non-stationary data...