Wheel Out-of-Roundness Detection Using an Envelope Spectrum Analysis

• Type: Article in International Scientific Journal
• Date: 2023

Authors

Goncalves, V (Author) FEUP; Mosleh, A (Author) FEUP; Cecília Vale (Author) FEUP; Pedro Aires Montenegro (Author) FEUP

Journal

Title: Sensors

Vol. 23

Final page: 2138

ISSN: 1424-3210

Publisher: MDPI

Indexing

ISI Web of Knowledge - 2 Citations

Scopus - 4 Citations

Other information

Authenticus ID: P-00X-WB1

DOI: 10.3390/s23042138

Abstract (EN): This paper aims to detect railway vehicle wheel flats and polygonized wheels using an envelope spectrum analysis. First, a brief explanation of railway vehicle wheel problems is presented, focusing particularly on wheel flats and polygonal wheels. Then, three types of wheel flat profiles and three periodic out-of-roundness (OOR) harmonic order ranges for the polygonal wheels are evaluated in the simulations, along with analyses implemented using only healthy wheels for comparison. Moreover, the simulation implements track irregularity profiles modelled based on the US Federal Railroad Administration (FRA). From the numerical calculations, the dynamic responses of several strain gauges (SGs) and accelerometer sensors located on the rail between sleepers are evaluated. Regarding defective wheels, only the right wheel of the first wheelset is considered as a defective wheel, but the detection methodology works for various damaged wheels located in any position. The results from the application of the methodology show that the envelope spectrum analysis successfully distinguishes a healthy wheel from a defective one.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 21