Papers with code

Papers with code contributes to reproducible and reuseable research. Below are examples of publications from the center which are accompanied by code published as Github repositories.

J9: Joacim Dybedal and Geir Hovland, “CNN-based People Detection in Voxel Space using Intensity Measurements and Point Cluster Flattening”, Modeling, Identification and Control, 2021, Vol 42, No. 2, pp. 37-46.

https://github.com/dybedal/wp3-human-voxel-detector

J10: Savin Viswanathan, Christian Holden, Olav Egeland and Marilena Greco, “An Open-Source Python-Based Boundary-Element Method Code for the Three-Dimensional, Zero-Froude, Infinite-Depth, Water-Wave Diffraction-Radiation Problem”, Modeling, Identification and Control, 2021, Vol 42, No. 2, pp. 47-81

https://github.com/Savin-Viswanathan/OMHyD-PA

J2: Bakht Zaman, Luis Miguel Lopez Ramos, Daniel Romero and Baltasar Beferull-Lozano, Online Topology Identification From Vector Autoregressive Time Series, IEEE Transactions on Signal Processing, vol. 69, pp. 210-225.

https://github.com/uia-wisenet/OnlineTopologyId

All repositories from the center are available here (including forks from repositories outside of the center repository)

Scientific Highlights in Q2-2021

Phd defenses

WP4.1 Savin Viswanathan (NTNU), defended on May 11.

WP3.5 Thilina Nuwan Weerasinghe, defended on May 25.

Link to all completed Phd defences

Accepted scientific publications

Journal Papers:

J5: Dipendra Subedi, Ilya Tyapin and Geir Hovland: ”Dynamic Modeling of Planar Multi-Link Flexible Manipulators”, MDPI Robotics, May 2021.

J6: Shanbhag, V. V., T. J. J. Meyer, L. W. Caspers and R. Schlanbusch (2021). Failure Monitoring and Predictive Maintenance of Hydraulic Cylinder – A State of Art Review. IEEE/ASME Transactions on Mechatronics. Published.

J7: Shanbhag, V. V., T. J. J. Meyer, L. W. Caspers and R. Schlanbusch (2021). Defining acoustic emission-based condition monitoring indicators for monitoring piston rod seal and bearing wear in hydraulic cylinders. The International Journal of Advanced Manufacturing Technology. Published.

J8: Falconer, S., E. Nordgård-Hansen and Geir Grasmo (2021). Remaining useful life estimation of HMPE rope through machine learning. To appear in Ocean Engineering.

J9: Joacim Dybedal and Geir Hovland, “CNN-based People Detection in Voxel Space using Intensity Measurements and Point Cluster Flattening”, Modeling, Identification and Control, 2021, Vol 42, No. 2, pp. 37-46.

J10: Savin Viswanathan, Christian Holden, Olav Egeland and Marilena Greco, “An Open-Source Python-Based Boundary-Element Method Code for the Three-Dimensional, Zero-Froude, Infinite-Depth, Water-Wave Diffraction-Radiation Problem”, Modeling, Identification and Control, 2021, Vol 42, No. 2, pp. 47-81.

Conference Papers:

C3: Kandukuri, S. T., V. V. Shanbhag, T. J. J. Meyer, L. W. Caspers, N. S. Noori, R. Schlanbusch (2021). Automated and Rapid Seal Wear Classification Based on Acoustic Emission and Support Vector Machine. PHM Society European Conference. Accepted.

Link to all publications in 2021

New dataset submitted to Dataverse.no

A new dataset was recently submitted to the SFI Offshore Mechatronics repository in Dataverse.no. Submitting data to a repository like Dataverse.no is an important effort towards Findable, Accessible, Interoperable and Reusable data. Datasets which are published in Dataverse.no gets a uniqe DOI reference which can be referenced in publications.

The dataset published was generated related to research in WP3. The data contains both the raw point cloud data from an outdoor test site, as well as generated images used for training. PhD fellow Joacim Dybedal used the data to train and test a classifier to detect people.

The research results based on the dataset are published in the paper “CNN-based People Detection in Voxel Space using Intensity Measurements and Point Cluster Flattening” (Joacim Dybedal and Geir Hovland, Modeling, Identification and Control, 2021, Vol 42, No. 2, pp. 37-46.).

Offshore Wind Spin-off opportunities (Workshop June 3.)

On June 3. (9-11.30 CET), GCE Node in collaboration with WP7 of SFI Offshore Mechatronics invites to a digital seminar/workshop to explore opportunities within Offshore Wind. In the seminar regional companies such as Origo Engineering and Agder Energy will present their activity within the offshore wind market from a technology and investment perspective. Research results from some of the SFI mechatronics workpackages with an emphasis on results with current and future applications in offshore wind will also be presented.

The seminar will be closed with a discussion to identify opportunities for new spin-off projects and transfer of results, technology and knowledge from the centre to solve current and future challenges within offshore wind.

To view the program and register for the event visit this page.

The SFI Offshore Mechatronics, Annual Conference 2021

This year we expect to be able to have an In-Person conference. In the past, the conference has been hosted at University of Agder, Grimstad. This year we are exploring the opportunity to host it at Aalborg University. This will serve as a great opportunity to explore infrastructure, euipment and experiments in particular related to Work Package 1. This is also an opportunity to be introduced to other relevant research initiatives at AAU Department of Energy Technology and The Fluid Power & Mechatronic Sytems group. The tentative date is set to 24.November, however this is not yet final and it may be at an earlier date. The date and a preliminary program will be settled as soon as possible and most likely before the summer break.

Innovation in SFI Offshore Mechatronics

Unlocking the innovation potential in a centre for research-based innovation requires an equally important contributions from both the research partners and the industry partners. In an ideal world the research results are relevant and mature enough for the companies to directly apply it in their business. This is however rarely the case, which means that both push and pull efforts are needed to bring promising research results forward.

The path from a TRL3-4 (Technology Readiness Level) up to TRL7-9 which is expected for a company to make large investments into new concepts and technology is known to be challenging. To reach a higher TRL level and to shape new concepts we encourage the centre industry partners to establish industry-driven spin-off projects. A spin-of project is enabling more funding, a dedicated and closer collaboration and also other terms and conditions than what is possible within the scope of a centre.

In SFI Offshore Mechatronics we keep track of the spin-offs. They are categorized as either direct spin-offs or indirect spin-offs. Direct spin-offs from the centre are initiated in collaboration with the academic partners. Indirect spinoffs are within the thematic areas of the research in the centre but initiated independently by the industry partners. The total external funding for the spin-off projects is approaching 125MNOK counting 15 direct spin-offs and 18 indirect spin-offs.

Three companies has also been established as spin-offs from the centre activities and by people with affiliation to the centre. Motiontech AS (founded by SFI Offshore Mechatronics PhD alumni Sondre Sanden Tørdal and related to research in WP2), DropTech As (founded by Mechatronics master students Emil Mühlbradt Sveen and Jørn Folmar Nilsen), Machine Prognostics AS (spin-off from Teknova / Norce Research and related to research in WP5).

PhD Defense WP3.5 on May 25

Thilina Nuwan Weerasinghe of the Faculty of Engineering and Science at the University of Agder has submitted his thesis entitled «Enabling mMTC and URLLC in 5G: Initial Access, Traffic Prediction, and User Availability» and will defend the thesis for the PhD-degree Tuesday 25 May 2021. 

The trial lecture at 10:15 hours
Public defence at 12:15 hours

More details are available here:
https://www.uia.no/en/events/disputation-thilina-nuwan-weerasinghe-in-ict

The disputation is open to the public, but to follow the trial lecture and the public defence, which is transmitted via the Zoom conferencing app, you have to register as an audience member.
https://uiano.zoom.us/meeting/register/u5YofuytrTIiHdaLh1Qc6s4uJuPKOjGeuZZF

New researcher WP4.5

Savin Viswanathan is defending his PhD on May 11th and he is now starting in a new position at NTNU as a Post.doc in WP4.5. His work in WP4.5 will be Modeling and simulation of the motion of ships, cranes and drilling systems in waves. Before pursuing the PhD in WP4.1, Savin worked as a university lecturer in India and he holds a MSc degree in Ocean Technology & Management from Indian Institute of Technology, Madras.

Reference group meetings in 2021

The work-packages invite representatives from the industry partners to reference group meetings. The meetings are a great opportunity to disseminate results, to participate in discussions and to get valuable feedback from an industrial perspective. Below is a list of all reference group meetings scheduled in 2021.

WP1: May 19, tentative in Nov
WP2: Mar 25, tentative in Nov
WP3: Mar 25, tentative in Nov
WP4: Mar 25, tentative in Nov
WP5: Mar 16, Jun11, Oct 14
WP6: Apr 26, tentative in Nov
WP7: June 21, tentative in Nov

Phd Defence WP4.1 on May 11th

Savin Viswanathan has submitted the following academic thesis as a part of the doctoral work at the Norwegian University of Science and Technology (NTNU), Department of Mechanical and Industrial Engineering:

«Multiphysical Simulation of Ocean Engineering Systems»

The Faculty has appointed the following Assessment Committee to assess the thesis:       

  • Dr. Suresh Rajendran, Indian Institute of Technology, Madras
  • Dr. Gerardo Imanuel de Nóbrega Rocha, National Oilwell Varco Norway AS
  • Associate Professor Lars Tingelstad, NTNU

Associate Professor Lars Tingelstad, Department of Mechanical and Industrial Engineering, NTNU, has been appointed Administrator of the Committee.

The Committee recommends that the thesis is worthy of being publicly defended for the PhD degree. 

The doctoral work has been carried out at the Department of Mechanical and Industrial Engineering. 

The trial lecture will take place on 11th May at 09:15

on the following prescribed subject:

“Data-Driven Dynamical Systems: Modelling and Control of Offshore Windfarms”

The public defence of the thesis takes place on 11th May at 11:15.

Due to the ongoing COVID-19 situation, the trial lecture and defence will be presented using online-based solutions.

A link to the online defence will be published shortly on this page:
https://www.ntnu.no/kalender/detaljer/-/event/c05c387b-c34b-32e8-94ce-a82c9f5e0b76