DETECTION AND REMOVAL OF DUST PARTICLES IN PIPELINES USING 3-D MEMS

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International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

Exeley Inc. (New York)

Subject: Computational Science & Engineering, Engineering, Electrical & Electronic

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VOLUME 10 , ISSUE 5 (December 2017) > List of articles

Special Issue

DETECTION AND REMOVAL OF DUST PARTICLES IN PIPELINES USING 3-D MEMS

B. Thamilvalluvan / Dr.M.Anto Bennet / K. Gokulakrishnan / S. Harrison / R. Shanmugam / B. Mangaram

Keywords : Micro Electro Mechanical System (MEMS), Distributed Acoustic Sensing (DAS), Renewable Energy Sources (RES), Opta sense interrogator unit (OIU).

Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 10, Issue 5, Pages 147-162, DOI: https://doi.org/10.21307/ijssis-2017-242

License : (CC BY-NC-ND 4.0)

Received Date : 27-May-2017 / Accepted: 15-June-2017 / Published Online: 01-September-2017

ARTICLE

ABSTRACT

Currently, the detection of dust particles is realized through manual sampling. Thus it is desirable to develop an automated online technique. Generally, industries run with the help of pipelines through which liquid can flow. The main aim of the work is to detect the dust particles which are present inside the pipeline when liquid is flowing through it. Distributed Acoustic Sensing (DAS) is a recent addition to the pipeline security world. Opta sense system is designed to prevent the damage in pipeline by providing the advance warning to the concern department and make them alert. The dust particles are detected by using MEMS, which can sense in three axis (Heat, Vibration, Movement). It is identified by the IR sensor. The approach can also be simulated by using MATLAB.

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REFERENCES

[1] Aizat Azmi, Ahmad Amsyar Azman, Sallehuddin Ibrahim, and Mohd Amri Md Yunus, “Techniques In Advancing The Capabilities Of Various Nitrate Detection Methods: A Review”, International Journal on Smart Sensing and Intelligent Systems., VOL. 10, NO. 2, June 2017, pp. 223-261.

[2] Tsugunosuke Sakai, Haruya Tamaki, Yosuke Ota, Ryohei Egusa, Shigenori Inagaki, Fusako Kusunoki, Masanori Sugimoto, Hiroshi Mizoguchi, “Eda-Based Estimation Of Visual Attention By Observation Of Eye Blink Frequency”, International Journal on Smart Sensing and Intelligent Systems., VOL. 10, NO. 2, June 2017, pp. 296-307.

[3] Ismail Ben Abdallah, Yassine Bouteraa, and Chokri Rekik , “Design And Development Of 3d Printed Myoelctric Robotic Exoskeleton For Hand Rehabilitation”, International Journal on Smart Sensing and Intelligent Systems., VOL. 10, NO. 2, June 2017, pp. 341-366.

[4] S. H. Teay, C. Batunlu and A. Albarbar, “Smart Sensing System For Enhanceing The Reliability Of Power Electronic Devices Used In Wind Turbines”, International Journal on Smart Sensing and Intelligent Systems., VOL. 10, NO. 2, June 2017, pp. 407- 424

[5] SCihan Gercek, Djilali Kourtiche, Mustapha Nadi, Isabelle Magne, Pierre Schmitt, Martine Souques and Patrice Roth, “An In Vitro Cost-Effective Test Bench For Active Cardiac Implants, Reproducing Human Exposure To Electric Fields 50/60 Hz”, International Journal on Smart Sensing and Intelligent Systems., VOL. 10, NO. 1, March 2017, pp. 1- 17

[6] P. Visconti, P. Primiceri, R. de Fazio and A. Lay Ekuakille, “A Solar-Powered White Led-Based Uv-Vis Spectrophotometric System Managed By Pc For Air Pollution Detection In Faraway And Unfriendly Locations”, International Journal on Smart Sensing and Intelligent Systems., VOL. 10, NO. 1, March 2017, pp. 18- 49

[7] Samarendra Nath Sur, Rabindranath Bera and Bansibadan Maji, “Feedback Equalizer For Vehicular Channel”, International Journal on Smart Sensing and Intelligent Systems., VOL. 10, NO. 1, March 2017, pp. 50- 68

[8] Yen-Hong A. Chen, Kai-Jan Lin and Yu-Chu M. Li, “Assessment To Effectiveness Of The New Early Streamer Emission Lightning Protection System”, International Journal on Smart Sensing and Intelligent Systems., VOL. 10, NO. 1, March 2017, pp. 108- 123

[9] Iman Heidarpour Shahrezaei, Morteza Kazerooni and Mohsen Fallah, “A Total Quality Assessment Solution For Synthetic Aperture Radar Nlfm Waveform Generation And Evaluation In A Complex Random Media”, International Journal on Smart Sensing and Intelligent Systems., VOL. 10, NO. 1, March 2017, pp. 174- 198

[10] P. Visconti ,R.Ferri, M.Pucciarelli and E.Venere, “Development And Characterization Of A Solar-Based Energy Harvesting And Power Management System For A Wsn Node Applied To Optimized Goods Transport And Storage”, International Journal on Smart Sensing and Intelligent Systems., VOL. 9, NO. 4, December 2016 , pp. 1637- 1667

[11] YoumeiSong,Jianbo Li, Chenglong Li, Fushu Wang, “Social Popularity Based Routing In Delay Tolerant Networks”, International Journal on Smart Sensing and Intelligent Systems., VOL. 9, NO. 4, December 2016 , pp. 1687- 1709

[12] Seifeddine Ben Warrad and OlfaBoubaker, “Full Order Unknown Inputs Observer For Multiple Time-Delay Systems”, International Journal on Smart Sensing and Intelligent Systems., VOL. 9, NO. 4, December 2016 , pp. 1750- 1775

[13] Rajesh, M., and J. M. Gnanasekar. "Path observation-based physical routing protocol for wireless ad hoc networks." International Journal of Wireless and Mobile Computing 11.3 (2016): 244-257.

[14] Rajesh, M., and J. M. Gnanasekar. "Path Observation Based Physical Routing Protocol for Wireless Ad Hoc Networks." Wireless Personal Communications: 1-23.

[15] M. Rajesh., Traditional Courses into Online Moving Strategy. The Online Journal of Distance Education and e-Learning 4 (4), 19-63.

[16] Rajesh M and Gnanasekar J.M. Error- Lenient Algorithms for Connectivity Reinstallation in Wireless Adhoc Networks. International Journal of Advanced Engineering Technology; 7(1), pp 270-278, 2016.

[17] M. Rajesh and J.M. Gnanasekar., GCC over Heterogeneous Wireless Ad hoc Networks. Journal of Chemical and Pharmaceutical Sciences, 195-200.

[18] Rajesh, M and J.M. Gnanasekar., "Congestion Controls Using AODV Protocol Scheme For Wireless Ad-Hoc Network." Advances in Computer Science and Engineering 16 (1-2), 19.

[19] Rajesh M, Gnanasekar J. M. Sector Routing Protocol (SRP) in Ad-hoc Networks, Control Network and Complex Systems 5 (7), 1-4, 2015.

[20] Rajesh M, Gnanasekar J. M. Routing and Broadcast Development for Minimizing Transmission Interruption in Multi rate Wireless Mesh Networks using Directional Antennas, Innovative Systems Design and Engineering 6 (7), 30-42.

[21] Annibalepanichella,Rocco oliveto,Massimiliano Di Penta,Andrea De Lucia, “ Improving multi-objective test case Selection by Injecting Diversity in genetic Algorithms”, IEEE Transactions on Software Engineering,pp.358-383,Vol.41,No.4,April 2015.

[22] Zhang Hui, “Fault Localization Method Generated by Regression Test Cases on the Basis of Genetic Immune Algorithm”, In: proc. Of IEEE conference on Annual International Computers, Software & Applications Conference, pp. 46-51, 2016.

[23] S. Yoo and M. Harman, “Regression testing minimization, selectionand prioritization: A survey,” Softw. Test. Verif. Rel., vol. 22,no. 2, pp. 67–120, Mar. 2012.

[24] S. Yoo, “A novel mask-coding representation for set cover problemswith applications in test suite minimisation,” In: Proc. of 2nd International Symposium. Search-Based Software. Eng., 2010, pp. 19–28.

[25] S. Yoo and M. Harman, “Pareto efficient multi-objective test case selection,” In: Proc. of ACM /SIGSOFT Int. Symp. Softw. Testing Anal.,2007, pp. 140–150.

[26] S. Yoo and M. Harman, “Using hybrid algorithm for Pareto efficientmulti-objective test suite minimisation,” J. Syst. Softw.,vol. 83, no. 4, pp. 689–701, 2010.

[27] S. Yoo, M. Harman, and S. Ur, “Highly scalable multi objectivetest suite minimization using graphics cards,” In:Proc. of 3rd Int.Conf. Search Based Softw. Eng., 2011, pp. 219–236.

[28] Q. Zhang and Y.-W. Leung, “An orthogonal genetic algorithm for multimedia multicast routing,” IEEE Trans. Evol. Comput., vol. 3,no. 1, pp. 53–62, Apr. 1999.

[29] J. Zhu, G. Dai, and L. Mo, “A cluster-based orthogonal multi objective genetic algorithm”, Comput. Intell. Intell. Syst., vol. 51,pp. 45–55, 2009.

[30] E. Zitzler, D. Brockhoff, and L. Thiele, “The hypervolume indicatorrevisited: On the design of Pareto-compliant indicators via weighted integration”,In: Proc. of 4th Int. Conf. Evol. Multi- CriterionOptim., 2007, pp. 862–876.

[31] Jones JA, Harrold MJ. “Empirical Evaluation of the Tarantula Automatic Fault - Localization Technique”. In: Proc. of 20th IEEE/ ACM International Conference on Automated Software Engineering, 2005: 273-282.

[32] Jones JA, Harrold MJ, Stasko J. “Visualization of Test Information to Assist Fault Localization”.In: Proc. ofthe 24th International Conference on Software Engineering, 2002:467-477.

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