Condition Monitoring Of Operating Pipelines With Operational Modal Analysis Application

1. Jawhar, I.; Mohamed, N.; Shuaib, K. (2007) A Framework for Pipeline Infrastructure Monitoring Using Wireless Sensor Networks, in the Proceedings of the Sixth Annual Wireless Telecommunications Symposium (WTS 2007), Pomona, CA, USA, 26–28 April 2007; pp. 1–7.Search in Google Scholar

2. Mohamed, N. and Jawhar, I. (2008) A Fault Tolerant Wired/Wireless Sensor Network Architecture for Monitoring Pipeline Infrastructures,” in SENSOR-COMM '08: Proceedings of the 2008 Second International Conference on Sensor Technologies and Applications. Washington, DC, USA: IEEE Computer Society, pp. 179-184.Search in Google Scholar

3. Murphy, F.; Laffey, D.; O’Flynn, B.; Buckley, J. and Barton, J. (2007) Development of a Wireless Sensor Network for Collaborative Agents to Treat Scale Formation in Oil Pipes, in EWSN, pp. 179–194.Search in Google Scholar

4. Jin, Y. and Eydgahi, A. (2008) Monitoring of Distributed Pipeline Systems by Wireless Sensor Networks, in the Proceedings of the 2008 IJAC-IJME International Conference, Nashville, TN, USA.Search in Google Scholar

5. Stoianov, I.; Nachman, L.; Madden, S. and Tokmouline, T. (2007) PIPENET: A Wireless Sensor Network for Pipeline Monitoring, in the Proceedings of the 6th international conference on Information processing in sensor networks. New York, NY, USA: ACM, pp. 264–273.Search in Google Scholar

6. Nassiraei, A.; Kawamura, Y.; Ahrary, A.; Mikuriya, Y. and Ishii, K. (2007) Concept and Design of a Fully Autonomous Sewer Pipe Inspection Mobile Robot Kantaro, in the Proceedings IEEE International Conference of Robotics and Automation, April 2007, pp. 136–143.Search in Google Scholar

7. Scholl, K.-U.; Kepplin, V.; Berns, K. and Dillmann, R. (2000) Controlling a Multi-Joint Robot for Autonomous Sewer Inspection, in the Proccedings of the IEEE International Conference on Robotics and Automation ICRA ’00, vol. 2, pp. 1701–1706.Search in Google Scholar

8. Kim, J.-H.; Sharma, G.; Boudriga, N. and Iyengar, S. (2010) SPAMMS: A Sensor-Based Pipeline Autonomous Monitoring and Maintenance System, in the Proceedings of the Second International Conference on Communication Systems and Networks (COMSNETS), 5-9 Jan. 2010, pp.1-10.Search in Google Scholar

9. Minwoo Chang and Shamim N. Pakzad. (2013) Modified Natural Excitation Technique for Stochastic Modal Identification. Journal of Structural Engineering, ASCE, October, pp. 1753-1762.10.1061/(ASCE)ST.1943-541X.0000559Search in Google Scholar

10. George, E. P. Box, Gwilym M. Jenkins. (1976) Time series analysis: forecasting and control. San Francisco. Holden-Day.Search in Google Scholar

11. D’ohler, M. (2011) Subspace-Based System Identification and Fault Detection: Algorithms for Large Systems and Application to Structural Vibration Analysis. Dynamical Systems. Université Rennes Nr.1.Search in Google Scholar

12. Brincker, R.; Zhang, L. and Andersen, P. (2001) Modal Identification of Output-Only Systems Using Frequency Domain Decomposition. Smart Materials and Structures, 10 (2001) 441–445.Search in Google Scholar

13. Bart Peetersa, Herman Van der Auweraera, Patrick Guillaumeb and Jan Leuridana. (2004) The PolyMAX Frequency-Domain Method: A New Standard for Modal Parameter Estimation? Shock and Vibration. Т. 11. – №. 3-4. – С. 395-409.Search in Google Scholar

14. Zhang, L.; Brincker, R. and Andersen, P. (2005) An Overview of Operational Modal Analysis: Major Development and Issues, in the Proceedings of the 1st International Operational Modal Analysis Conference, Copenhagen, Denmark.Search in Google Scholar

15. Inaudi, D.; Glisic, B. (2010) Long-Range Pipeline Monitorin, 400 p.Search in Google Scholar