000021329 001__ 21329
000021329 005__ 20170522124349.0
000021329 04107 $$aeng
000021329 046__ $$k2017-05-15
000021329 100__ $$aKilinc, O.
000021329 24500 $$aWAYSIDE DIAGNOSIS OF METRO WHEELSETS USING ACOUSTIC SENSOR DATA AND ONE-PERIOD ANALYSIS

000021329 24630 $$n23.$$pEngineering Mechanics 2017
000021329 260__ $$bBrno University of Technology, Institute of Solid Mechanics, Mechatronics and Biomechanics, Brno
000021329 506__ $$arestricted
000021329 520__ $$2eng$$aThis research promises a wheelset fault diagnosis methodology for metro train sets using wayside acoustic sensor information. Throughout the research, two different feature extraction techniques; Wavelet Packet Energy (WPE) and Time-domain Features (TDF) are employed in association with two state-of-art classifiers Fisher Linear Discriminant Analysis (FLDA) and Support Vector Machines (SVMs). The database is prepared by the acquisition of wayside acoustic sensor data accompanied by optical gates that detect wheelset center position while multiple passing of a single metro train set of type 81-71M is in daily operation with the contribution of a novel approach; one-period analysis. Acquired database is then divided into two classes which represent the healthy and faulty states of the wheelsets referring to the ground truth information of a faulty wheelset. Since the faulty states are insufficient to demonstrate the real classification performance, an adaptive synthetic sampling technique (ADASYN) is utilized to increase the number of faulty states. Promising results are observed up to 93 % in classification of faulty wheelsets of the metro with the proposed techniques on acoustic sensor data. This study may aid to maintenance specialists by providing a cost effective monitoring of faulty condition of metro wheelsets.

000021329 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000021329 653__ $$aWheelset fault diagnosis, Wavelet packet energy, Time-domain features, One-period analysis, Condition monitoring.

000021329 7112_ $$aEngineering Mechanics 2017$$cSvratka, CZ$$d2017-05-15 / 2017-05-18$$gEM2017
000021329 720__ $$aKilinc, O.$$iVágner, J.
000021329 8560_ $$ffischerc@itam.cas.cz
000021329 8564_ $$s824097$$uhttps://invenio.itam.cas.cz/record/21329/files/0458.pdf$$yOriginal version of the author's contribution in proceedings, page 458, section DYN.
000021329 962__ $$r21225
000021329 980__ $$aPAPER