Estimation of railway track longitudinal irregularity using vehicle response with information compression and Bayesian deep learning
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Title
Estimation of railway track longitudinal irregularity using vehicle response with information compression and Bayesian deep learning
Authors
Keywords
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Journal
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2021-12-16
DOI
10.1111/mice.12802
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- Intelligent index for railway track quality evaluation based on Bayesian approaches
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- A Kalman filter algorithm for identifying track irregularities of railway bridges using vehicle dynamic responses
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- Data-driven optimization of railway maintenance for track geometry
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- Principal components analysis and track quality index: A machine learning approach
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- Recent applications of big data analytics in railway transportation systems: A survey
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- (2018) Mehran Ahmadlou et al. INTEGRATED COMPUTER-AIDED ENGINEERING
- An Improved Stacked Auto-Encoder for Network Traffic Flow Classification
- (2018) Peng Li et al. IEEE NETWORK
- Estimation of lateral and cross alignment in a railway track based on vehicle dynamics measurements
- (2018) Anna De Rosa et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
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- A novel model for determining the amplitude-wavelength limits of track irregularities accompanied by a reliability assessment in railway vehicle-track dynamics
- (2017) Lei Xu et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Modeling of track geometry degradation and decisions on safety and maintenance: A literature review and possible future research directions
- (2017) Christian Higgins et al. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART F-JOURNAL OF RAIL AND RAPID TRANSIT
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- (2017) Xiaolei Ma et al. SENSORS
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