Design analysis of boiler header inspection robot MK-02

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Boiler header and tube are considered as one on the main element in thermal power plant. The boiler header and tube are vulnerable to attack by internal and external corrosion and cracking due to high temperature and high pressure operating condition. The usage of inspection robot integrated with image acquisition and localization simplify the inspection procedure and provides better acquired image or video quality. In this paper, various design analysis in term of load and motor analysis for locomotion and lifting mechanism; and analysis on the critical components of boiler header inspection robot MK-02 are discussed in detailed.

Original languageEnglish
Title of host publicationProceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages683-688
Number of pages6
ISBN (Electronic)9781538626337
DOIs
Publication statusPublished - 15 May 2019
EventJoint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018 - Toyama, Japan
Duration: 05 Dec 201808 Dec 2018

Publication series

NameProceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018

Conference

ConferenceJoint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018
CountryJapan
CityToyama
Period05/12/1808/12/18

Fingerprint

Boilers
Inspection
Robot
Robots
Tube
Video Quality
Image Acquisition
Image acquisition
Locomotion
Power Plant
Cracking
Corrosion
Image Quality
Power plants
Simplify
Attack
Internal
Term
Design
Temperature

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Logic
  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Computer Science Applications
  • Theoretical Computer Science

Cite this

Abdul Jalal, M. F., Mohamed Sahari, K. S., & Anuar, A. (2019). Design analysis of boiler header inspection robot MK-02. In Proceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018 (pp. 683-688). [8716106] (Proceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SCIS-ISIS.2018.00115
Abdul Jalal, Muhammad Fairuz ; Mohamed Sahari, Khairul Salleh ; Anuar, Adzly. / Design analysis of boiler header inspection robot MK-02. Proceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 683-688 (Proceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018).
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abstract = "Boiler header and tube are considered as one on the main element in thermal power plant. The boiler header and tube are vulnerable to attack by internal and external corrosion and cracking due to high temperature and high pressure operating condition. The usage of inspection robot integrated with image acquisition and localization simplify the inspection procedure and provides better acquired image or video quality. In this paper, various design analysis in term of load and motor analysis for locomotion and lifting mechanism; and analysis on the critical components of boiler header inspection robot MK-02 are discussed in detailed.",
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Abdul Jalal, MF, Mohamed Sahari, KS & Anuar, A 2019, Design analysis of boiler header inspection robot MK-02. in Proceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018., 8716106, Proceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018, Institute of Electrical and Electronics Engineers Inc., pp. 683-688, Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018, Toyama, Japan, 05/12/18. https://doi.org/10.1109/SCIS-ISIS.2018.00115

Design analysis of boiler header inspection robot MK-02. / Abdul Jalal, Muhammad Fairuz; Mohamed Sahari, Khairul Salleh; Anuar, Adzly.

Proceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018. Institute of Electrical and Electronics Engineers Inc., 2019. p. 683-688 8716106 (Proceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abdul Jalal MF, Mohamed Sahari KS, Anuar A. Design analysis of boiler header inspection robot MK-02. In Proceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018. Institute of Electrical and Electronics Engineers Inc. 2019. p. 683-688. 8716106. (Proceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018). https://doi.org/10.1109/SCIS-ISIS.2018.00115