Nothing Special   »   [go: up one dir, main page]

Zhang et al., 2020 - Google Patents

Tunnel damage identification method based on relative entropy of wavelet packet energy: An experimental verification

Zhang et al., 2020

View PDF
Document ID
7460925931794693984
Author
Zhang Y
Xie X
Li H
Zhou B
Publication year
Publication venue
IOP Conference Series: Earth and Environmental Science

External Links

Snippet

Ineffective methods used to detect damage in subway tunnels can result in severe safety risk. Traditional detection methods use laser scanning, image recognition, and inspection to identify damages in the inner lining of a tunnel after the subway is out of service; these …
Continue reading at iopscience.iop.org (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR
    • G01M17/00—Testing of vehicles
    • G01M17/007—Testing of vehicles of wheeled or endless-tracked vehicles
    • G01M17/0072—Testing of vehicles of wheeled or endless-tracked vehicles the wheels of the vehicle co-operating with rotatable rolls
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR
    • G01M17/00—Testing of vehicles
    • G01M17/007—Testing of vehicles of wheeled or endless-tracked vehicles
    • G01M17/02—Testing of vehicles of wheeled or endless-tracked vehicles of tyres
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B61—RAILWAYS
    • B61K—OTHER AUXILIARY EQUIPMENT FOR RAILWAYS
    • B61K9/00—Railway vehicle profile gauges; Detecting or indicating overheating of components; Apparatus on locomotives or cars to indicate bad track sections; General design of track recording vehicles
    • B61K9/08—Measuring installations for surveying permanent way

Similar Documents

Publication Publication Date Title
US12125375B2 (en) Power distribution and vehicle self-learning-based truck overload identification method
CN107406090B (en) Abnormal vehicle dynamics detection
Roveri et al. Real-time monitoring of railway infrastructures using fibre Bragg grating sensors
CN105923014B (en) A kind of track transition Amplitude Estimation method based on evidential reasoning rule
CN105092467A (en) Rapid monitoring device and method for high-speed railway wheel tread abrasion
Boogaard et al. In situ measurements of the crossing vibrations of a railway turnout
You et al. Synthesis of random vibration environment spectra for the fatigue analysis and optimization of railway vehicles
CN104833535A (en) Railway vehicle tire tread scratch detection method
Li et al. Indirect damage detection for bridges using sensing and temporarily parked vehicles
Liu et al. Deep learning based identification and uncertainty analysis of metro train induced ground-borne vibration
Chang et al. Dynamic performance evaluation of an inspection wagon for urban railway tracks
Kostrzewski Analysis of selected acceleration signals measurements obtained during supervised service conditions–study of hitherto approach
Ye et al. Multislice Time-Frequency image Entropy as a feature for railway wheel fault diagnosis
Wang et al. A diagnostic method of freight wagons hunting performance based on wayside hunting detection system
Zhang et al. Tunnel damage identification method based on relative entropy of wavelet packet energy: An experimental verification
Mosleh et al. Approaches for weigh-in-motion and wheel defect detection of railway vehicles
Morichika et al. Estimation of displacement response in steel plate girder bridge using a single MEMS accelerometer
Jorge et al. Early identification of out-of-roundness damage wheels in railway freight vehicles using a wayside system and a stacked sparse autoencoder
Xu et al. Condition monitoring of wheel wear for high-speed trains: A data-driven approach
CN110171442B (en) Detection system and detection method for wheel flat scars
Tsunashima et al. Condition monitoring of railway track and driver using in-service vehicle
Sato et al. Wheel/rail contact analysis of tramways and LRVs against derailment
Faulkner et al. Deformation monitoring of a simply supported railway bridge under varying dynamic loads
Jauregui-Correa et al. Method for predicting dynamic loads for a health monitoring system for subway tracks
Yue et al. WSN-based vibration characteristic research for various railway track structures for pattern classification