[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Havens et al., 2016 - Google Patents

An automatic method for detecting sliding railway wheels and hot bearings using thermal imagery

Havens et al., 2016

View PDF
Document ID
16855391655153817051
Author
Havens T
Deilamsalehy H
Lautala P
Publication year

External Links

Snippet

One of the most important safety-related tasks in the rail industry is early detection of defective rolling stock components. Railway wheels and wheel bearings are two components prone to damage due to their interactions with brakes and railway track, which …
Continue reading at www.nurailcenter.org (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30108Industrial image inspection
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00624Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR
    • G01M17/00Testing of vehicles
    • G01M17/007Testing of vehicles of wheeled or endless-tracked vehicles
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46Extraction of features or characteristics of the image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0004Industrial image inspection

Similar Documents

Publication Publication Date Title
Liu et al. A review of applications of visual inspection technology based on image processing in the railway industry
Lederman et al. Track-monitoring from the dynamic response of an operational train
Ye et al. Deep learning-based fault diagnostic network of high-speed train secondary suspension systems for immunity to track irregularities and wheel wear
Ye et al. Shock detection of rotating machinery based on activated time-domain images and deep learning: An application to railway wheel flat detection
Dubey et al. Maximally stable extremal region marking-based railway track surface defect sensing
Deilamsalehy et al. An automatic method for detecting sliding railway wheels and hot bearings using thermal imagery
Ma et al. A prediction method based on stepwise regression analysis for train axle temperature
Ghiasi et al. An unsupervised anomaly detection framework for onboard monitoring of railway track geometrical defects using one-class support vector machine
Shen et al. PAC interaction inspection using real-time contact point tracking
Lourenço et al. Adaptive time series representation for out-of-round railway wheels fault diagnosis in wayside monitoring
Siddiqui et al. IoT based railway track faults detection and localization using acoustic analysis
Gunawan Detecting road damages by using gyroscope sensor
Jorge et al. Early identification of out-of-roundness damage wheels in railway freight vehicles using a wayside system and a stacked sparse autoencoder
Pires et al. Measuring vertical track irregularities from instrumented heavy haul railway vehicle data using machine learning
Kumar et al. A systematic literature review of defect detection in railways using machine vision-based inspection methods
Lv et al. Railway train inspection robot based on intelligent recognition technology
Havens et al. An automatic method for detecting sliding railway wheels and hot bearings using thermal imagery
Shaikh et al. Deep learning based identification and tracking of railway bogie parts
Havens et al. using thermal imagery.
Uygun et al. Acoustic monitoring of railway defects using deep learning with audio to spectrogram conversion
Goda et al. Rail joint gap measurement method using train frontal images captured by a handy video camcorder
Deilamsalehy et al. Detection of sliding wheels and hot bearings using wayside thermal cameras
Shaikh et al. Design and Development of a Wayside AI‐Assisted Vision System for Online Train Wheel Inspection
Asplund et al. Assessment of the data quality of wayside wheel profile measurements.
Mosleh et al. Condition Monitoring of Rolling Stock Supported by Artificial Intelligence Technique