Early Detection of Faillure in Conveyor Chain Systems by Wireless Sensor Node

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Authors

  • Ghada Bouattour
  • Lidu Wang
  • Sajidah Al-Hammouri
  • Jiachen Yang
  • Christian Viehweger
  • Olfa Kanoun

In the ever-growing industrial landscape, the early detection of failures in machines with high accuracy becomes more and more crucial and essential to safe and dependable operations. Based on this concept, a machine learning algorithm is investigated for early detection of failure for conveyor chain systems. The proposed approach is based on the integration of wireless sensor nodes in the conveyor chain to measure the vibrations. The collected data has been acquired in different working conditions including slight imbalances as well as early failure scenarios that do affect the plastic chain. The data was collected using a conveyor chain with a length of 2 meters and with programmable speed and movement scenarios. Furthermore, different loads and forces have been considered during the data collection to mimic real applications in the lab. The selection of features to avoid correlation between them is considered. After comparison between different machine learning algorithms, the C-SVM algorithm is selected with an accuracy of 96.5%, which guarantees high precision and selectivity to the failures.

Original languageEnglish
Title of host publicationIEEE SENSORS 2023 : Conference Proceedings
Number of pages4
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers Inc.
Publication date2023
ISBN (print)979-8-3503-0388-9
ISBN (electronic)979-8-3503-0387-2
DOIs
Publication statusPublished - 2023
Externally publishedYes
Event2023 IEEE SENSORS, SENSORS 2023 - Vienna, Austria
Duration: 29.10.202301.11.2023
https://2023.ieee-sensorsconference.org

Bibliographical note

The authors would like to thank the German Federal Ministry for Economic Affairs and Climate Action and AIF for funding the project WearTrack within the Central Innovation Program for SMEs (ZIM). Also, the authors would like to thank the DAAD for funding the project “Promotion of Higher Education in Biomedical Engineering” with the grant number: 57612192.

Publisher Copyright:
© 2023 IEEE.

    Research areas

  • Early Failure Detection, Industry 5.0, Machine learning, Wireless Sensor Node
  • Engineering

Recently viewed

Activities

  1. Performance resource depletion influence on performance: Advancing concepts and findings
  2. How to observe Culture?
  3. Mirrored piezo servo hydraulic actuators for use in camless combustion engines and its Control with mirrored inputs and MPC
  4. Chain of Fools? Sensemaking Dynamics regarding the Issue of the Blockchain Technology in the FinTech Field
  5. Swarming. Science Fact and Science Fiction of Distributed Intelligence
  6. Collaborative modeling in climatic change adaptation and energy transformation.
  7. Alterations of a visual and how they work for and at the boundaries of an interorganizational team: A multimodal exploration
  8. BDSM Sagacity: embodying complexity
  9. Performativity and Authenticity in the Web 2.0-Enhanced Foreign Language Classroom
  10. LC-MS identification of the photo-transformation products of desipramine with studying the effect of different environmental variables on the kinetics of their formation
  11. Efficacy of an Internet-based problem-solving training for teachers: Results of a randomized controlled trial.
  12. Frame-based Matrix Factorizations
  13. Presentation of the paper entitled "Design of a Real Time Path of Motion Control for Manufacturing Applications"
  14. A Tool for Applications: Wavelet Packets
  15. Digitalization and cross-border knowledge transfer: The impact on international assignments
  16. Quantitative methods for research on educating educators: Designing, conducting and analyzing control trials
  17. The link between in- and external rotation of the auditor and the quality of financial accounting and audit
  18. Acceleration and Reflection
  19. Nonlinear dynamics and opinion formation in time varying networks
  20. Information, not Representation: Crowdworker Participation on Digital Work Platforms
  21. Material Migrations I Online Lecture Series

Publications

  1. A reference architecture for the integration of EMIS and ERP-Systems
  2. From Knowledge to Application
  3. Metaphors and Paradigms of the Language Animal—or—The Advantage of seeing “Time Is a Resource” as a Paradigm
  4. Evaluation of standard ERP software implementation approaches in terms of their capability for business process optimization
  5. Modelling and implementation of an Order2Cash Process in distributed systems
  6. Measuring Learning Styles with Questionnaires Versus Direct Observation of Preferential Choice Behavior in Authentic Learning Situations
  7. Optimizing price levels in e-commerce applications with respect to customer lifetime values
  8. Dividing Apples and Pears: Towards a Taxonomy for Agile Transformation
  9. Developing a Complex Portrait of Content Teaching for Multilingual Learners via Nonlinear Theoretical Understandings
  10. Sharing in Christ's rule
  11. Assessment of cognitive load in multimedia learning using dual-task methodology
  12. Detection of coherent oceanic structures via transfer operators
  13. Mathematical relation between extended connectivity and eigenvector coefficients.
  14. Mining Implications From Data
  15. Executive function and Language Learning
  16. Comparing Empirical Methodologies in Pragmatics
  17. Construct- and criterion-related validity of the German Core Self-Evaluations Scale
  18. Assessing Quality of Teaching from Different Perspectives
  19. The Benefit of Web- and Computer-Based Interventions for Stress
  20. Passive Rotation of Rotational Joints and Its Computation Method
  21. Dynamic priority based dispatching of AGVs in flexible job shops
  22. In-Vehicle Sensor System for Monitoring Efficiency of Vehicle E/E Architectures
  23. Complexity and Administrative Intensity
  24. Combined MRI-PET dissects dynamic changes in plant structures and functions