Novel method to measure track irregularity based on multiple MEMS-IMU and geometric constraint
Abstract The track regularity with high accuracy is crucial important to protect the dynamic safety in high speed and heavy haul railways, normally, the inertial measurement unit (IMU)is capable to provide the precise solution for track irregularity measurement. However, to achieve high accuracy, th...
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Nature Portfolio
2025-03-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-93151-w |
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| author | Yan Wang Shibin Wei Lin Li Jiyou Fei Fei Yang Peng Dai |
| author_facet | Yan Wang Shibin Wei Lin Li Jiyou Fei Fei Yang Peng Dai |
| author_sort | Yan Wang |
| collection | DOAJ |
| description | Abstract The track regularity with high accuracy is crucial important to protect the dynamic safety in high speed and heavy haul railways, normally, the inertial measurement unit (IMU)is capable to provide the precise solution for track irregularity measurement. However, to achieve high accuracy, the most existing track irregularity measurement methods seriously depended on the fiber-optic IMU, it is very expensive, also with larger size and weight, while the growing availability of low-cost and small size MEMS-IMU can yield acceptable accuracy for track irregularity by using multiple MEMS-IMUs fusion and particular geometric constraints. For these reasons, this paper proposes an accurate measurement method for track irregularity that combines the multiple MEMS-IMUs and special geometric constraints, which can be obtained noticeable measuring performances compared with fiber-optic IMU. To achieve this, we first construct the geometric constraint models for multiple MEMS-IMUs and establish their optimal installation configuration. Subsequently, an adaptive federal Kalman filter (AFKF) is developed to fuse the multiple local MEMS-IMUs information into the global filter, which can adaptive adjustment each MEMS-IMU sub-filter fusion factor and feedforward factor to obtain the highly estimation accuracy for track irregularity. Finally, the test results from both laboratory and field environment prove that the measurement accuracy of track irregularity using our proposed method are very close to the fiber-optic IMU method, and indicate a significant step forward in the track irregularity with the low-cost and small size MEMS-IMU. |
| format | Article |
| id | doaj-art-69cd27a0c8dc4e8fb686b549ae3a6c97 |
| institution | DOAJ |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-69cd27a0c8dc4e8fb686b549ae3a6c972025-08-20T03:01:23ZengNature PortfolioScientific Reports2045-23222025-03-0115111310.1038/s41598-025-93151-wNovel method to measure track irregularity based on multiple MEMS-IMU and geometric constraintYan Wang0Shibin Wei1Lin Li2Jiyou Fei3Fei Yang4Peng Dai5Zhan Tianyou Honors College (College of China Railway Rolling Stock Corporation), Dalian Jiaotong UniversityInfrastructure Inspection Research Institute, China Academy of Railway Sciences Corporation LimitedZhan Tianyou Honors College (College of China Railway Rolling Stock Corporation), Dalian Jiaotong UniversityZhan Tianyou Honors College (College of China Railway Rolling Stock Corporation), Dalian Jiaotong UniversityInfrastructure Inspection Research Institute, China Academy of Railway Sciences Corporation LimitedInfrastructure Inspection Research Institute, China Academy of Railway Sciences Corporation LimitedAbstract The track regularity with high accuracy is crucial important to protect the dynamic safety in high speed and heavy haul railways, normally, the inertial measurement unit (IMU)is capable to provide the precise solution for track irregularity measurement. However, to achieve high accuracy, the most existing track irregularity measurement methods seriously depended on the fiber-optic IMU, it is very expensive, also with larger size and weight, while the growing availability of low-cost and small size MEMS-IMU can yield acceptable accuracy for track irregularity by using multiple MEMS-IMUs fusion and particular geometric constraints. For these reasons, this paper proposes an accurate measurement method for track irregularity that combines the multiple MEMS-IMUs and special geometric constraints, which can be obtained noticeable measuring performances compared with fiber-optic IMU. To achieve this, we first construct the geometric constraint models for multiple MEMS-IMUs and establish their optimal installation configuration. Subsequently, an adaptive federal Kalman filter (AFKF) is developed to fuse the multiple local MEMS-IMUs information into the global filter, which can adaptive adjustment each MEMS-IMU sub-filter fusion factor and feedforward factor to obtain the highly estimation accuracy for track irregularity. Finally, the test results from both laboratory and field environment prove that the measurement accuracy of track irregularity using our proposed method are very close to the fiber-optic IMU method, and indicate a significant step forward in the track irregularity with the low-cost and small size MEMS-IMU.https://doi.org/10.1038/s41598-025-93151-wHigh speed and heavy haul railwaysTrack irregularityMultiple MEMS-IMUGeometric constraintAdaptive federal Kalman filter |
| spellingShingle | Yan Wang Shibin Wei Lin Li Jiyou Fei Fei Yang Peng Dai Novel method to measure track irregularity based on multiple MEMS-IMU and geometric constraint Scientific Reports High speed and heavy haul railways Track irregularity Multiple MEMS-IMU Geometric constraint Adaptive federal Kalman filter |
| title | Novel method to measure track irregularity based on multiple MEMS-IMU and geometric constraint |
| title_full | Novel method to measure track irregularity based on multiple MEMS-IMU and geometric constraint |
| title_fullStr | Novel method to measure track irregularity based on multiple MEMS-IMU and geometric constraint |
| title_full_unstemmed | Novel method to measure track irregularity based on multiple MEMS-IMU and geometric constraint |
| title_short | Novel method to measure track irregularity based on multiple MEMS-IMU and geometric constraint |
| title_sort | novel method to measure track irregularity based on multiple mems imu and geometric constraint |
| topic | High speed and heavy haul railways Track irregularity Multiple MEMS-IMU Geometric constraint Adaptive federal Kalman filter |
| url | https://doi.org/10.1038/s41598-025-93151-w |
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