Smartphone's Sensing Capabilities for On-Board Railway Track Monitoring: Structural Performance and Geometrical Degradation Assessment.
- Published in:
- Advances in Civil Engineering, 2019, p. 1, doi. 10.1155/2019/1729153
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- Publication type:
- Article
Works matching DE "RAILROAD track inspection"
Results: 17
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Significant rail-noise decision postponed.
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- Noise & Vibration Worldwide, 2009, v. 40, n. 8, p. 8
- Publication type:
- Article
3
The use of a laser based trolley for railway switch and crossing inspection.
- Published in:
- International Journal of COMADEM, 2013, v. 16, n. 4, p. 13
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- Publication type:
- Article
4
A New Filtering and Smoothing Algorithm for Railway Track Surveying Based on Landmark and IMU/Odometer.
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- Sensors (14248220), 2017, v. 17, n. 6, p. 1438, doi. 10.3390/s17061438
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- Publication type:
- Article
5
Fast Estimation of Defect Profiles from the Magnetic Flux Leakage Signal Based on a Multi-Power Affine Projection Algorithm.
- Published in:
- Sensors (14248220), 2014, v. 14, n. 9, p. 16454, doi. 10.3390/s140916454
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- Publication type:
- Article
6
Review of railway track applications of Barkhausen noise and other magnetic testing methods.
- Published in:
- Insight: Non-Destructive Testing & Condition Monitoring, 2014, v. 56, n. 12, p. 657, doi. 10.1784/insi.2014.56.12.657
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- Publication type:
- Article
7
A robotic approach for NDT of RCF cracks in rails using an ACFM sensor.
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- Insight: Non-Destructive Testing & Condition Monitoring, 2011, v. 53, n. 7, p. 368, doi. 10.1784/insi.2011.53.7.368
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- Publication type:
- Article
8
Eddy current test method for early detection of rolling contact fatigue (RCF) in rails.
- Published in:
- Insight: Non-Destructive Testing & Condition Monitoring, 2010, v. 52, n. 7, p. 361, doi. 10.1784/insi.2010.52.7.361
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- Publication type:
- Article
9
Digital signal processing for rail monitoring by means of ultrasonic guided waves.
- Published in:
- Insight: Non-Destructive Testing & Condition Monitoring, 2007, v. 49, n. 6, p. 327, doi. 10.1784/insi.2007.49.6.327
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- Publication type:
- Article
10
Defect detection in rails using ultrasonic surface waves.
- Published in:
- Insight: Non-Destructive Testing & Condition Monitoring, 2007, v. 49, n. 6, p. 318, doi. 10.1784/insi.2007.49.6.318
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- Publication type:
- Article
11
Advantage of a combined ultrasonic and eddy current examination for railway inspection trains.
- Published in:
- Insight: Non-Destructive Testing & Condition Monitoring, 2007, v. 49, n. 6, p. 341, doi. 10.1784/insi.2007.49.6.341
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- Publication type:
- Article
12
Dynamic railroad inspection using the laser-air hybrid ultrasonic technique.
- Published in:
- Insight: Non-Destructive Testing & Condition Monitoring, 2006, v. 48, n. 6, p. 336, doi. 10.1784/insi.2006.48.6.336
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- Publication type:
- Article
13
Ultrasonic Guided Waves-Based Monitoring of Rail Head: Laboratory and Field Tests.
- Published in:
- Advances in Civil Engineering, 2010, p. 1, doi. 10.1155/2010/291293
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- Publication type:
- Article
14
1141. Design and validation of a railway inspection system to detect lateral track geometry defects based on axle-box accelerations registered from in-service trains.
- Published in:
- Journal of Vibroengineering, 2014, v. 16, n. 1, p. 210
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- Publication type:
- Article
15
DESCRIPTION OF RAIL TRACK GEOMETRY DETERIORATION PROCESS IN HUNGARIAN RAIL LINES NO. 1 AND NO. 140.
- Published in:
- Pollack Periodica, 2017, v. 12, n. 3, p. 141, doi. 10.1556/606.2017.12.3.13
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- Publication type:
- Article
16
A rail roughness growth model for a wheelset with non-steady, non-Hertzian contact.
- Published in:
- Vehicle System Dynamics, 2010, v. 48, n. 10, p. 1135, doi. 10.1080/00423110903410518
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- Publication type:
- Article
17
Prediction of railway track geometry deterioration using artificial neural networks: a case study for Turkish state railways.
- Published in:
- Structure & Infrastructure Engineering: Maintenance, Management, Life-Cycle Design & Performance, 2014, v. 10, n. 5, p. 614, doi. 10.1080/15732479.2012.757791
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- Publication type:
- Article