{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T14:51:28Z","timestamp":1740149488986,"version":"3.37.3"},"reference-count":64,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2022,4,2]],"date-time":"2022-04-02T00:00:00Z","timestamp":1648857600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"European Regional Development Fund under a grant agree-476 ment with the Research Council of Lithuania (LMTLT).","award":["01.2.2-LMT-K-718-03-0001"]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"Due to the mechanical nature of container handling operations, as well as natural factors, container and handling infrastructure suffers various types of damage during use, especially within the tight and enclosed environments of a ship\u2019s hull. In this operational environment, it is critical to detect any sort of physical impacts between the vertical cell guides of the ship\u2019s hull and the container. Currently, an inspection of impacts and evaluation of any consequences is performed manually, via visual inspection processes. This process is time-consuming and relies on the technical expertise of the personnel involved. In this paper, we propose a five-step impact-detection methodology (IDM), intended to detect only the most significant impact events based on acceleration data. We conducted real measurements in a container terminal using a sensory device placed on the spreader of the quay crane. The proposed solution identified an average of 12.8 container impacts with the vertical cell guides during common handling operations. In addition, the results indicate that the presented IDM can be used to recognize repeated impacts in the same space of each bay of the ship, and can be used as a decision support tool for predictive maintenance systems.<\/jats:p>","DOI":"10.3390\/s22072752","type":"journal-article","created":{"date-parts":[[2022,4,3]],"date-time":"2022-04-03T10:04:01Z","timestamp":1648980241000},"page":"2752","source":"Crossref","is-referenced-by-count":6,"title":["Detecting Shipping Container Impacts with Vertical Cell Guides inside Container Ships during Handling Operations"],"prefix":"10.3390","volume":"22","author":[{"given":"Sergej","family":"Jakovlev","sequence":"first","affiliation":[{"name":"Marine Research Institute, Klaipeda University, Herkaus Manto Str. 84, LT-92294 Klaipeda, Lithuania"},{"name":"Department of Telecommunications, VSB\u2014Technical University of Ostrava, 17. Listopadu 2172\/15, 70800 Ostrava, Czech Republic"}]},{"given":"Tomas","family":"Eglynas","sequence":"additional","affiliation":[{"name":"Marine Research Institute, Klaipeda University, Herkaus Manto Str. 84, LT-92294 Klaipeda, Lithuania"}]},{"given":"Miroslav","family":"Voznak","sequence":"additional","affiliation":[{"name":"Marine Research Institute, Klaipeda University, Herkaus Manto Str. 84, LT-92294 Klaipeda, Lithuania"},{"name":"Department of Telecommunications, VSB\u2014Technical University of Ostrava, 17. Listopadu 2172\/15, 70800 Ostrava, Czech Republic"}]},{"given":"Mindaugas","family":"Jusis","sequence":"additional","affiliation":[{"name":"Marine Research Institute, Klaipeda University, Herkaus Manto Str. 84, LT-92294 Klaipeda, Lithuania"}]},{"given":"Pavol","family":"Partila","sequence":"additional","affiliation":[{"name":"Marine Research Institute, Klaipeda University, Herkaus Manto Str. 84, LT-92294 Klaipeda, Lithuania"},{"name":"Department of Telecommunications, VSB\u2014Technical University of Ostrava, 17. Listopadu 2172\/15, 70800 Ostrava, Czech Republic"}]},{"given":"Jaromir","family":"Tovarek","sequence":"additional","affiliation":[{"name":"Marine Research Institute, Klaipeda University, Herkaus Manto Str. 84, LT-92294 Klaipeda, Lithuania"},{"name":"Department of Telecommunications, VSB\u2014Technical University of Ostrava, 17. Listopadu 2172\/15, 70800 Ostrava, Czech Republic"}]},{"given":"Valdas","family":"Jankunas","sequence":"additional","affiliation":[{"name":"Marine Research Institute, Klaipeda University, Herkaus Manto Str. 84, LT-92294 Klaipeda, Lithuania"}]}],"member":"1968","published-online":{"date-parts":[[2022,4,2]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"78253","DOI":"10.1109\/ACCESS.2021.3083928","article-title":"Application of Neural Network Predictive Control Methods to Solve the Shipping Container Sway Control Problem in Quay Cranes","volume":"9","author":"Jakovlev","year":"2021","journal-title":"IEEE Access"},{"doi-asserted-by":"crossref","unstructured":"Budiyanto, M.A., and Fernanda, H. (2020). Risk Assessment of Work Accident in Container Terminals Using the Fault Tree Analysis Method. J. Mar. Sci. 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