Common Crossing Structural Health Analysis with Track-Side Monitoring
Track-side inertial measurements on common crossings are the object of the present study. The paper deals with the problem of measurement's interpretation for the estimation of the crossing structural health. The problem is manifested by the weak relation of measured acceleration components and...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
University of Žilina
2019-08-01
|
| Series: | Communications |
| Subjects: | |
| Online Access: | https://komunikacie.uniza.sk/artkey/csl-201903-0013_common-crossing-structural-health-analysis-with-track-side-monitoring.php |
| _version_ | 1797793845017051136 |
|---|---|
| author | Mykola Sysyn Olga Nabochenko Franziska Kluge Vitalii Kovalchuk Andriy Pentsak |
| author_facet | Mykola Sysyn Olga Nabochenko Franziska Kluge Vitalii Kovalchuk Andriy Pentsak |
| author_sort | Mykola Sysyn |
| collection | DOAJ |
| description | Track-side inertial measurements on common crossings are the object of the present study. The paper deals with the problem of measurement's interpretation for the estimation of the crossing structural health. The problem is manifested by the weak relation of measured acceleration components and impact lateral distribution to the lifecycle of common crossing rolling surface. The popular signal processing and machine learning methods are explored to solve the problem.
The Hilbert-Huang Transform (HHT) method is used to extract the time-frequency features of acceleration components. The method is based on Ensemble Empirical Mode Decomposition (EEMD) that is advantageous to the conventional spectral analysis methods with higher frequency resolution and managing nonstationary nonlinear signals. Linear regression and Gaussian Process Regression are used to fuse the extracted features in one structural health (SH) indicator and study its relation to the crossing lifetime. The results have shown the significant relation of the derived with GPR indicator to the lifetime. |
| first_indexed | 2024-03-13T02:53:09Z |
| format | Article |
| id | doaj.art-0f71d8663c6e480ea15d246a391aacac |
| institution | Directory Open Access Journal |
| issn | 1335-4205 2585-7878 |
| language | English |
| last_indexed | 2024-03-13T02:53:09Z |
| publishDate | 2019-08-01 |
| publisher | University of Žilina |
| record_format | Article |
| series | Communications |
| spelling | doaj.art-0f71d8663c6e480ea15d246a391aacac2023-06-28T07:44:06ZengUniversity of ŽilinaCommunications1335-42052585-78782019-08-01213778410.26552/com.C.2019.3.77-84csl-201903-0013Common Crossing Structural Health Analysis with Track-Side MonitoringMykola Sysyn0Olga Nabochenko1Franziska Kluge2Vitalii Kovalchuk3Andriy Pentsak4Institute of Railway Systems and Public Transport, Technical University of Dresden, GermanyDepartment of the Rolling stock and Track, Lviv Branch of Dniprovsk National University of Railway Transport, Lviv, UkraineInstitute of Railway Systems and Public Transport, Technical University of Dresden, GermanyDepartment of the Rolling stock and Track, Lviv Branch of Dniprovsk National University of Railway Transport, Lviv, UkraineDepartment of Construction Industry, Lviv Polytechnic National University, Lviv, UkraineTrack-side inertial measurements on common crossings are the object of the present study. The paper deals with the problem of measurement's interpretation for the estimation of the crossing structural health. The problem is manifested by the weak relation of measured acceleration components and impact lateral distribution to the lifecycle of common crossing rolling surface. The popular signal processing and machine learning methods are explored to solve the problem. The Hilbert-Huang Transform (HHT) method is used to extract the time-frequency features of acceleration components. The method is based on Ensemble Empirical Mode Decomposition (EEMD) that is advantageous to the conventional spectral analysis methods with higher frequency resolution and managing nonstationary nonlinear signals. Linear regression and Gaussian Process Regression are used to fuse the extracted features in one structural health (SH) indicator and study its relation to the crossing lifetime. The results have shown the significant relation of the derived with GPR indicator to the lifetime.https://komunikacie.uniza.sk/artkey/csl-201903-0013_common-crossing-structural-health-analysis-with-track-side-monitoring.phpcommon crossingstructural health monitoringtrack-side inertial measurementsrolling contact fatigueensemble empirical mode decompositionhilbert-huang transformgaussian process regression |
| spellingShingle | Mykola Sysyn Olga Nabochenko Franziska Kluge Vitalii Kovalchuk Andriy Pentsak Common Crossing Structural Health Analysis with Track-Side Monitoring Communications common crossing structural health monitoring track-side inertial measurements rolling contact fatigue ensemble empirical mode decomposition hilbert-huang transform gaussian process regression |
| title | Common Crossing Structural Health Analysis with Track-Side Monitoring |
| title_full | Common Crossing Structural Health Analysis with Track-Side Monitoring |
| title_fullStr | Common Crossing Structural Health Analysis with Track-Side Monitoring |
| title_full_unstemmed | Common Crossing Structural Health Analysis with Track-Side Monitoring |
| title_short | Common Crossing Structural Health Analysis with Track-Side Monitoring |
| title_sort | common crossing structural health analysis with track side monitoring |
| topic | common crossing structural health monitoring track-side inertial measurements rolling contact fatigue ensemble empirical mode decomposition hilbert-huang transform gaussian process regression |
| url | https://komunikacie.uniza.sk/artkey/csl-201903-0013_common-crossing-structural-health-analysis-with-track-side-monitoring.php |
| work_keys_str_mv | AT mykolasysyn commoncrossingstructuralhealthanalysiswithtracksidemonitoring AT olganabochenko commoncrossingstructuralhealthanalysiswithtracksidemonitoring AT franziskakluge commoncrossingstructuralhealthanalysiswithtracksidemonitoring AT vitaliikovalchuk commoncrossingstructuralhealthanalysiswithtracksidemonitoring AT andriypentsak commoncrossingstructuralhealthanalysiswithtracksidemonitoring |