Squat Detection of Railway Switches and Crossings Using Point Machine Vibration Measurements
Railway switches and crossings (S&C) are among the most important high-value components in a railway network and a failure of such an asset could result in severe network disturbance. Therefore, potential defects need to be detected at an early stage to prevent traffic-disturbing downtime or eve...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-03-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/23/7/3666 |
| _version_ | 1797606906154450944 |
|---|---|
| author | Yang Zuo Jan Lundberg Taoufik Najeh Matti Rantatalo Johan Odelius |
| author_facet | Yang Zuo Jan Lundberg Taoufik Najeh Matti Rantatalo Johan Odelius |
| author_sort | Yang Zuo |
| collection | DOAJ |
| description | Railway switches and crossings (S&C) are among the most important high-value components in a railway network and a failure of such an asset could result in severe network disturbance. Therefore, potential defects need to be detected at an early stage to prevent traffic-disturbing downtime or even severe accidents. A squat is a common defect of S&Cs that has to be monitored and repaired to reduce such risks. In this study, a testbed including a full-scale S&C and a bogie wagon was developed. Vibrations were measured for different squat sizes by an accelerometer mounted at the point machine. A method of processing the vibration data and the speed data is proposed to investigate the possibility of detecting and quantifying the severity of a squat. One key technology used is wavelet denoising. The study shows that it is possible to monitor the development of the squat size on the rail up to around 13 m from the point machine. The relationships between the normalised peak-to-peak amplitude of the vibration signal and the squat depth were also estimated. |
| first_indexed | 2024-03-11T05:24:26Z |
| format | Article |
| id | doaj.art-07144b78981349dcb07c91c976250021 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T05:24:26Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-07144b78981349dcb07c91c9762500212023-11-17T17:35:56ZengMDPI AGSensors1424-82202023-03-01237366610.3390/s23073666Squat Detection of Railway Switches and Crossings Using Point Machine Vibration MeasurementsYang Zuo0Jan Lundberg1Taoufik Najeh2Matti Rantatalo3Johan Odelius4Operation and Maintenance Engineering, Luleå University of Technology, 97187 Luleå, SwedenOperation and Maintenance Engineering, Luleå University of Technology, 97187 Luleå, SwedenOperation and Maintenance Engineering, Luleå University of Technology, 97187 Luleå, SwedenOperation and Maintenance Engineering, Luleå University of Technology, 97187 Luleå, SwedenOperation and Maintenance Engineering, Luleå University of Technology, 97187 Luleå, SwedenRailway switches and crossings (S&C) are among the most important high-value components in a railway network and a failure of such an asset could result in severe network disturbance. Therefore, potential defects need to be detected at an early stage to prevent traffic-disturbing downtime or even severe accidents. A squat is a common defect of S&Cs that has to be monitored and repaired to reduce such risks. In this study, a testbed including a full-scale S&C and a bogie wagon was developed. Vibrations were measured for different squat sizes by an accelerometer mounted at the point machine. A method of processing the vibration data and the speed data is proposed to investigate the possibility of detecting and quantifying the severity of a squat. One key technology used is wavelet denoising. The study shows that it is possible to monitor the development of the squat size on the rail up to around 13 m from the point machine. The relationships between the normalised peak-to-peak amplitude of the vibration signal and the squat depth were also estimated.https://www.mdpi.com/1424-8220/23/7/3666railway switch & crossingvibrationsquatscondition monitoringwavelet denoisingfault detection |
| spellingShingle | Yang Zuo Jan Lundberg Taoufik Najeh Matti Rantatalo Johan Odelius Squat Detection of Railway Switches and Crossings Using Point Machine Vibration Measurements Sensors railway switch & crossing vibration squats condition monitoring wavelet denoising fault detection |
| title | Squat Detection of Railway Switches and Crossings Using Point Machine Vibration Measurements |
| title_full | Squat Detection of Railway Switches and Crossings Using Point Machine Vibration Measurements |
| title_fullStr | Squat Detection of Railway Switches and Crossings Using Point Machine Vibration Measurements |
| title_full_unstemmed | Squat Detection of Railway Switches and Crossings Using Point Machine Vibration Measurements |
| title_short | Squat Detection of Railway Switches and Crossings Using Point Machine Vibration Measurements |
| title_sort | squat detection of railway switches and crossings using point machine vibration measurements |
| topic | railway switch & crossing vibration squats condition monitoring wavelet denoising fault detection |
| url | https://www.mdpi.com/1424-8220/23/7/3666 |
| work_keys_str_mv | AT yangzuo squatdetectionofrailwayswitchesandcrossingsusingpointmachinevibrationmeasurements AT janlundberg squatdetectionofrailwayswitchesandcrossingsusingpointmachinevibrationmeasurements AT taoufiknajeh squatdetectionofrailwayswitchesandcrossingsusingpointmachinevibrationmeasurements AT mattirantatalo squatdetectionofrailwayswitchesandcrossingsusingpointmachinevibrationmeasurements AT johanodelius squatdetectionofrailwayswitchesandcrossingsusingpointmachinevibrationmeasurements |