Conference_programme: 21: Source identification and localization
Lecture: Analysis of a maxima position estimator on acoustic images of a fan matrix for failure detection
Author(s): Del Val Lara, Izquierdo Alberto, Villacorta Juan, Suárez Luis, Herráez Marta
Summary:
In a previous research work carried out by the authors, the acoustic images of a matrix of fans were used to detect operation failures on some fans. Promising results showed that geometric parameters of these acoustic images, obtained using a 16x16 planar array of MEMS microphones, could be used to detect if the fans are or are not working properly. Since the noise that each fan of the matrix shows a spectrum with several harmonics, it is necessary to decide in which frequency, or frequencies, the acoustic images analysis must be centered. This frequency analysis will obtain the best information to detect operation failures on the fan matrix. On the basis of these results, this work analyzes the behavior of an estimator of the maxima positions of the acoustic images, in order to use this information subsequently in a failure detection system for the fan matrix. This estimator has been analyzed considering different scenarios: only one of the fans of the matrix is running, and the opposite scenario, that is, all the fans of the matrix, except one of them, are running. Both scenarios show that the performance of the estimator is different if high frequencies or low frequencies are considered. These analyses show that the use of this estimator is reliable when only one of the fans is running. In the opposite scenario, the estimator is reliable only if low frequencies are taken into account.
Corresponding author
Name: Dr Lara del Val
e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Country: Spain
