Vibro-Acoustics for Reli-ability Modeling of Un-derwater Pipeline using Wireless Sensor Network (WSN), with Minimum Energy Consumption


  • Yusuf Saleh
  • Muhammad Sani Yahya
  • Aliyu Bukar Dala





maintenance, model, performance, predictive, reliability, , vibrations, vibro-acoustics, WSN.


WSN is a network of clusters of sensors nodes which sense the parameter and communicates to a server. Target is to develop underwater pipeline monitoring system remotely with lower energy consumption. Reliability maintenance will effectively give optimum performance of pipeline system operation.  Reliability ensures optimum performance in the range of operation based on the behavior of the system. Validation of the mathematical model for the flow in pipeline system is used to study vibrations as elements that affect the reliability of the pipeline. In this, the focus is to validate and model the reliability for the pipeline system from the vibrations for predictive maintenance and optimum performance. Subsequently, vibro-acoustics will be used to model the reliability equation. A software can be developed for simulating the reliability model for pipeline system behavior from the vibration factors and use for predictive maintenance. Reliability factors of mean time to failure, repair and others will be put in to use to develop the original model for the pipeline. A hypothesis of 90% predictive model from the reliability under pipeline system behavior will be developed.




[1] Qinghua Wang and Ilangko Balasingham. Wireless Sensor Networks – “An Introduction, Wireless Sensor Networks: Application-Centric Designâ€, Yen Kheng Tan (Ed.), ISBN: 978-953-307-321-7, (2010) InTech, Available from: an-introduction.

[2] Richard W. Mankin, Barukh Rohde, and Seth McNeill, “Vibrational duetting mimics to trap and disrupt mating of the devasatating Asian citrus psyllid insect pest,†Proceedings of Meetings on Acoustics, Jacksonville, Florida, Vol. 25 010006, (2016).

[3] Rashid Hussain, Neha Sharma, “precision agriculture energy conservation in wireless sensor network (WSN) by using bioinspired quorum sensing methodâ€, (AESR 10), Volume-1, Issue-1, (2015).

[4] Giuseppe Giunta, Giancarlo Bernasconi, Silvio Del Giudice, “Pipeline Monitoring with Vibroacoustic Sensingâ€, Material Evaluation

[5] (ME Technical Paper), American Society of Non-destructive testing, Volume 73(7): (2015) 979-986.

[6] Giancarlo Bernasconi, Silvio Del Giudice, Giuseppe Giunta, Francesco Dionigi, “Advanced Pipeline Vibroacoustic Monitoringâ€, American Society of Mechanical Engineers, pressure vessels and piping division (publication) PVP -97281(2013).

[7] Giuseppe Giunta, Silvia Morrea, Rennat Gabbassov, Giancarlo Bernasconi, Silvio Del Giudice, “Performance of Vibroacoustic Technology for Pipeline Leakage Detectionâ€, American Society of Mechanical Engineers, PVP Volume 5: pipelines, Risers and Subsea Systems (OMAE 2016-5421).

[8] Richard W. Mankin, Clayton W. McCoy, Kathy L. Flanders, Jamee Brandhorst, Robert L. Crocker, and Jeffrey P. Shapiro, “Methods for Acoustic Detection of Insect Pests in Soil,†Proceedings of the Soil Science Society of America Conference on Agroacoustics, Third Symposium, Buoyoucos, MS 1998, (3/31/2016).

[9] V. M. Hernandez bennetts, “ Mobile Robots with In-situ and remote sensors for real world gas distribution modeling,†Orebro University, ISBN 978-91-7529-055-3, (12/2014), pp. 22-23.

[10] E. Puig, F. Gonzalez, G. Hamilton and P. Grundy, “Assessment of crop insect damage using unmanned aerial systems: A machine learning approach,†21st International Congress on Modelling and Simulation, Gold Coast, Australia, 29 Nov to 4 Dec 2015,

View Full Article:

How to Cite

Saleh, Y., Sani Yahya, M., & Bukar Dala, A. (2018). Vibro-Acoustics for Reli-ability Modeling of Un-derwater Pipeline using Wireless Sensor Network (WSN), with Minimum Energy Consumption. International Journal of Engineering & Technology, 7(3.36), 118–120.
Received 2019-05-01
Accepted 2019-05-01
Published 2018-05-06