Development of a Pipeline Monitoring System by Bio-mimetic Robots
To explore pipelines is one of various bio-mimetic
robot applications. The robot may work in common buildings such as
between ceilings and ducts, in addition to complicated and massive
pipeline systems of large industrial plants. The bio-mimetic robot finds
any troubled area or malfunction and then reports its data. Importantly,
it can not only prepare for but also react to any abnormal routes in the
pipeline. The pipeline monitoring tasks require special types of mobile
robots. For an effective movement along a pipeline, the movement of
the robot will be similar to that of insects or crawling animals. During
its movement along the pipelines, a pipeline monitoring robot has an
important task of finding the shapes of the approaching path on the
pipes. In this paper we propose an effective solution to the pipeline
pattern recognition, based on the fuzzy classification rules for the
measured IR distance data.
[1] J. J. Gertler, Fault Detection and Diagnosis in Engineering Systems,
Marcel Deker, Inc, 1998.
[2] Jang, J. S. R., "ANFIS: Adaptive-Network-based Fuzzy Inference
Systems," IEEE Trans. on Systems, Man, and Cybernetics, Vol. 23, No. 3,
pp. 665-685, May 1993.
[3] J. Yu, M. Tan, S. Wang, and E. Chen, "Development of a biomimetic
robotic fish and its control algorithm," IEEE Trans. on Systems, Man, and
Cybernetics-Part B, Vol. 34, pp. 1798-1810, 2004.
[4] D. Shin, S.Y. Na, J.Y. Kim, and S. Baek, "Water pollution monitoring
system by autonomous fish robots," WSEAS Trans. on SYSTEM and
CONTROL, Issue 1, Vol. 2, 2007, pp. 32-37.
[5] L. Lundgard, B. Skyberg, "Acoustic Diagnosis of SF6 Gas Insulated
Substations," IEEE Trans. Power Delivery, 1990.
[6] J. Shao, G. Xie, L. Wang, and W. Zhang, "Obstacle avoidance and path
planning based on flow field for biomimetics robotic fish," AI 2005, LNAI
3809, 2005, pp. 857-860.
[7] Ma, Zhanshan, Krings, Axel W., Hiromoto, Robert E. , "Dragonfly as a
model for UAV/MAV flight and communication controls", 2009 IEEE
Aerospace conference, pp.1-8, 2009.
[8] Changsoo Ok, Thadakamalla, H., Raghavan, U., Kumara, S., Sang-Gook
Kim, Xiang Zhang, Bukkapatnam S., "Optimal Transmission Power in
Self-sustainable Sensor Networks for Pipeline Monitoring", IEEE
International Conference on Automation Science and Engineering, pp.
591 - 596, 2007.
[9] Masataka Suzuki, Shinya Kitai, and Shigeo Hirose, "Basic Systematic
Experiments and New Type Child Unit of Anchor Climber: Swarm Type
Wall Climbing Robot System", 2008 IEEE International Conference on
Robotics and Automation, pp. 3034-3039, 2008.
[10] A. Sadeqi, H. Moradi, and M. Nili Ahmadabadi, "A Human-Inspired Pole
Climbing Robot", IROS 2008, pp. 4199 - 4199, 2008.
[11] J. Shao, G. Xie, L. Wang, and W. Zhang, "Obstacle avoidance and path
planning based on flow field for biomimetics robotic fish," AI 2005, LNAI
3809, 2005, pp. 857-860.
[12] R.J. Mammone, X. Zhang and R.P. Ramachandran, "Robust Speaker
Recognition: A Feature-based Approach," IEEE Signal Processing
Magazine, Vol. 13, No. 5, pp. 58-71, 1996.
[1] J. J. Gertler, Fault Detection and Diagnosis in Engineering Systems,
Marcel Deker, Inc, 1998.
[2] Jang, J. S. R., "ANFIS: Adaptive-Network-based Fuzzy Inference
Systems," IEEE Trans. on Systems, Man, and Cybernetics, Vol. 23, No. 3,
pp. 665-685, May 1993.
[3] J. Yu, M. Tan, S. Wang, and E. Chen, "Development of a biomimetic
robotic fish and its control algorithm," IEEE Trans. on Systems, Man, and
Cybernetics-Part B, Vol. 34, pp. 1798-1810, 2004.
[4] D. Shin, S.Y. Na, J.Y. Kim, and S. Baek, "Water pollution monitoring
system by autonomous fish robots," WSEAS Trans. on SYSTEM and
CONTROL, Issue 1, Vol. 2, 2007, pp. 32-37.
[5] L. Lundgard, B. Skyberg, "Acoustic Diagnosis of SF6 Gas Insulated
Substations," IEEE Trans. Power Delivery, 1990.
[6] J. Shao, G. Xie, L. Wang, and W. Zhang, "Obstacle avoidance and path
planning based on flow field for biomimetics robotic fish," AI 2005, LNAI
3809, 2005, pp. 857-860.
[7] Ma, Zhanshan, Krings, Axel W., Hiromoto, Robert E. , "Dragonfly as a
model for UAV/MAV flight and communication controls", 2009 IEEE
Aerospace conference, pp.1-8, 2009.
[8] Changsoo Ok, Thadakamalla, H., Raghavan, U., Kumara, S., Sang-Gook
Kim, Xiang Zhang, Bukkapatnam S., "Optimal Transmission Power in
Self-sustainable Sensor Networks for Pipeline Monitoring", IEEE
International Conference on Automation Science and Engineering, pp.
591 - 596, 2007.
[9] Masataka Suzuki, Shinya Kitai, and Shigeo Hirose, "Basic Systematic
Experiments and New Type Child Unit of Anchor Climber: Swarm Type
Wall Climbing Robot System", 2008 IEEE International Conference on
Robotics and Automation, pp. 3034-3039, 2008.
[10] A. Sadeqi, H. Moradi, and M. Nili Ahmadabadi, "A Human-Inspired Pole
Climbing Robot", IROS 2008, pp. 4199 - 4199, 2008.
[11] J. Shao, G. Xie, L. Wang, and W. Zhang, "Obstacle avoidance and path
planning based on flow field for biomimetics robotic fish," AI 2005, LNAI
3809, 2005, pp. 857-860.
[12] R.J. Mammone, X. Zhang and R.P. Ramachandran, "Robust Speaker
Recognition: A Feature-based Approach," IEEE Signal Processing
Magazine, Vol. 13, No. 5, pp. 58-71, 1996.
@article{"International Journal of Electrical, Electronic and Communication Sciences:55051", author = "Seung You Na and Daejung Shin and Jin Young Kim and Joo Hyun Jung and Yong-Gwan Won", title = "Development of a Pipeline Monitoring System by Bio-mimetic Robots", abstract = "To explore pipelines is one of various bio-mimetic
robot applications. The robot may work in common buildings such as
between ceilings and ducts, in addition to complicated and massive
pipeline systems of large industrial plants. The bio-mimetic robot finds
any troubled area or malfunction and then reports its data. Importantly,
it can not only prepare for but also react to any abnormal routes in the
pipeline. The pipeline monitoring tasks require special types of mobile
robots. For an effective movement along a pipeline, the movement of
the robot will be similar to that of insects or crawling animals. During
its movement along the pipelines, a pipeline monitoring robot has an
important task of finding the shapes of the approaching path on the
pipes. In this paper we propose an effective solution to the pipeline
pattern recognition, based on the fuzzy classification rules for the
measured IR distance data.", keywords = "Bio-mimetic robots, Plant pipes monitoring, Pipepattern recognition.", volume = "4", number = "1", pages = "110-7", }