Application of Dynamic Time Warping (DTW) in Comparing MRT Signals of Steel Ropes
Steel wire ropes used in transport and aerospace applications are critical components whose failure can lead to significant safety, operational, and environmental consequences. Current diagnostic practices based on magnetic rope testing (MRT) often suffer from signal misalignment and subjective inte...
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MDPI AG
2025-07-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/15/14/7924 |
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| author | Justyna Tomaszewska Mirosław Witoś Jerzy Kwaśniewski |
| author_facet | Justyna Tomaszewska Mirosław Witoś Jerzy Kwaśniewski |
| author_sort | Justyna Tomaszewska |
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| description | Steel wire ropes used in transport and aerospace applications are critical components whose failure can lead to significant safety, operational, and environmental consequences. Current diagnostic practices based on magnetic rope testing (MRT) often suffer from signal misalignment and subjective interpretation, particularly under varying operational conditions or in polymer-impregnated ropes with delayed damage indicators. This study explores the application of the Dynamic Time Warping (DTW) algorithm to enhance the reliability of MRT diagnostics. The research involved analyzing long-term MRT recordings of wire ropes used in mining operations, including different scanning resolutions and signal acquisition methods. A mathematical formulation of DTW is provided along with its implementation code in R and Python. The DTW algorithm was applied to synchronize diagnostic signals with their baseline recordings, as recommended by ISO 4309:2017 and EN 12927:2019 standards. Results show that DTW enables robust alignment of time series with slowly varying spectra, thereby improving the comparability and interpretation of MRT data. This approach reduces the risk of unnecessary rope discard and increases the effectiveness of degradation monitoring. The findings suggest that integrating DTW into existing diagnostic protocols can contribute to safer operation, lower maintenance costs, and reduced environmental impact. |
| format | Article |
| id | doaj-art-c472dd5d217140d2991e6d5f606c8ab6 |
| institution | Kabale University |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-c472dd5d217140d2991e6d5f606c8ab62025-08-20T03:58:26ZengMDPI AGApplied Sciences2076-34172025-07-011514792410.3390/app15147924Application of Dynamic Time Warping (DTW) in Comparing MRT Signals of Steel RopesJustyna Tomaszewska0Mirosław Witoś1Jerzy Kwaśniewski2Faculty of Aviation, Polish Air Force University, Dywizjonu 303 nr 35, 08-521 Dęblin, PolandAir Force Institute of Technology, Ks. Bolesława 6, 01-494 Warszawa, PolandFaculty of Mechanical Engineering and Robotics, AGH University, al. Mickiewicza 30, 30-059 Kraków, PolandSteel wire ropes used in transport and aerospace applications are critical components whose failure can lead to significant safety, operational, and environmental consequences. Current diagnostic practices based on magnetic rope testing (MRT) often suffer from signal misalignment and subjective interpretation, particularly under varying operational conditions or in polymer-impregnated ropes with delayed damage indicators. This study explores the application of the Dynamic Time Warping (DTW) algorithm to enhance the reliability of MRT diagnostics. The research involved analyzing long-term MRT recordings of wire ropes used in mining operations, including different scanning resolutions and signal acquisition methods. A mathematical formulation of DTW is provided along with its implementation code in R and Python. The DTW algorithm was applied to synchronize diagnostic signals with their baseline recordings, as recommended by ISO 4309:2017 and EN 12927:2019 standards. Results show that DTW enables robust alignment of time series with slowly varying spectra, thereby improving the comparability and interpretation of MRT data. This approach reduces the risk of unnecessary rope discard and increases the effectiveness of degradation monitoring. The findings suggest that integrating DTW into existing diagnostic protocols can contribute to safer operation, lower maintenance costs, and reduced environmental impact.https://www.mdpi.com/2076-3417/15/14/7924transportsafetycarbon footprintnon-destructive testingMRTwire ropes |
| spellingShingle | Justyna Tomaszewska Mirosław Witoś Jerzy Kwaśniewski Application of Dynamic Time Warping (DTW) in Comparing MRT Signals of Steel Ropes Applied Sciences transport safety carbon footprint non-destructive testing MRT wire ropes |
| title | Application of Dynamic Time Warping (DTW) in Comparing MRT Signals of Steel Ropes |
| title_full | Application of Dynamic Time Warping (DTW) in Comparing MRT Signals of Steel Ropes |
| title_fullStr | Application of Dynamic Time Warping (DTW) in Comparing MRT Signals of Steel Ropes |
| title_full_unstemmed | Application of Dynamic Time Warping (DTW) in Comparing MRT Signals of Steel Ropes |
| title_short | Application of Dynamic Time Warping (DTW) in Comparing MRT Signals of Steel Ropes |
| title_sort | application of dynamic time warping dtw in comparing mrt signals of steel ropes |
| topic | transport safety carbon footprint non-destructive testing MRT wire ropes |
| url | https://www.mdpi.com/2076-3417/15/14/7924 |
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