Search Results - "Ooijevaar, Ted"

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  1. 1

    Scalable Fleet Monitoring and Visualization for Smart Machine Maintenance and Industrial IoT Applications by Moens, Pieter, Bracke, Vincent, Soete, Colin, Vanden Hautte, Sander, Nieves Avendano, Diego, Ooijevaar, Ted, Devos, Steven, Volckaert, Bruno, Van Hoecke, Sofie

    Published in Sensors (Basel, Switzerland) (02-08-2020)
    “…The wide adoption of smart machine maintenance in manufacturing is blocked by open challenges in the Industrial Internet of Things (IIoT) with regard to…”
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    Journal Article
  2. 2

    A Comparison of Vibration based Bearing Fault Diagnostic Methods by Ooijevaar, Ted, Pichler, Kurt, Di, Yuan, Hesch, Clemens

    “…This paper presents a benchmark study in which three vibration based bearing diagnostic algorithms are compared. The three methods are a data driven approach…”
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    Journal Article
  3. 3

    On the design of Optimal Health Indicators for early fault detection and their statistical thresholds by Antoni, Jérôme, Kestel, Kayacan, Peeters, Cédric, Leclère, Quentin, Girardin, François, Ooijevaar, Ted, Helsen, Jan

    Published in Mechanical systems and signal processing (01-09-2024)
    “…This research presents a method for developing optimal health indicators for early fault detection in machine condition monitoring. The devised health…”
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    Journal Article
  4. 4

    Vibro-acoustic modulation–based damage identification in a composite skin–stiffener structure by Ooijevaar, Ted, Rogge, Matthew D, Loendersloot, Richard, Warnet, Laurent, Akkerman, Remko, Tinga, Tiedo

    Published in Structural health monitoring (01-07-2016)
    “…Vibro-acoustic modulation–based damage identification relies on the modulation of a high-frequency carrier signal by an intenser low-frequency vibration signal…”
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    Journal Article
  5. 5

    Data-driven vibration-based bearing fault diagnosis using non-steady-state training data by Pichler, Kurt, Ooijevaar, Ted, Hesch, Clemens, Kastl, Christian, Hammer, Florian

    Published in Journal of sensors and sensor systems (12-05-2020)
    “…This paper presents the extension of an empirical study in which a universally applicable fault diagnosis method is used to analyse vibration data of bearings…”
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    Journal Article
  6. 6

    Information Theoretic Framework for the Optimization of UWB Localization Systems by Schenck, Anthony, Walsh, Edwin, Reijniers, Jonas, Ooijevaar, Ted, Yudanto, Risang, Hostens, Erik, Daems, Walter, Steckel, Jan

    “…In this paper we will propose a method to evaluate the performance of a certain ultra-wide band fixed anchor configuration in complex indoor environments by…”
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    Conference Proceeding
  7. 7

    Constraint Guided AutoEncoders for Joint Optimization of Condition Indicator Estimation and Anomaly Detection in Machine Condition Monitoring by Meire, Maarten, Van Baelen, Quinten, Ooijevaar, Ted, Karsmakers, Peter

    Published 18-09-2024
    “…The main goal of machine condition monitoring is, as the name implies, to monitor the condition of industrial applications. The objective of this monitoring…”
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    Journal Article
  8. 8

    Sparse Multi-sensor Monitoring System Design for Vehicle Application by Goharoodi, Saeideh Khatiry, Ooijevaar, Ted, Bey-Temsamani, Abdellatif, Crevecoeur, Guillaume

    “…In today's fast growing vehicle industry, the number of functionalities (comfort features, monitoring features, safety features, etc.) is steadily increasing…”
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    Conference Proceeding
  9. 9

    Early Inner Race Fault Detection On A Ball Bearing Setup Using Histogram of Oriented Gradients and Wavelet Subselection by Heck, Cedric Van, Wauters, Jolan, Staessens, Tom, Creveceour, Guillaume, Ooijevaar, Ted

    “…Predictive maintenance is an industrial practice to detect component failure ahead in time and before major damage is done to the system. Bearings are…”
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    Conference Proceeding