Predictive maintenance and safety operation by device integration on the QUEST large experimental device
As technology has improved in recent years, it has become possible to create new valuable functions by combining various devices and sensors in a network. This concept is referred to as the Internet of Things (IoT), and predictive maintenance is a new valuable function associated with the IoT. In la...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2020-06-01
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| Series: | Heliyon |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844020310586 |
| _version_ | 1818958546248663040 |
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| author | Makoto Hasegawa Kazuaki Hanada Hiroshi Idei Shoji Kawasaki Takahiro Nagata Ryuya Ikezoe Takumi Onchi Kengoh Kuroda Aki Higashijima |
| author_facet | Makoto Hasegawa Kazuaki Hanada Hiroshi Idei Shoji Kawasaki Takahiro Nagata Ryuya Ikezoe Takumi Onchi Kengoh Kuroda Aki Higashijima |
| author_sort | Makoto Hasegawa |
| collection | DOAJ |
| description | As technology has improved in recent years, it has become possible to create new valuable functions by combining various devices and sensors in a network. This concept is referred to as the Internet of Things (IoT), and predictive maintenance is a new valuable function associated with the IoT. In large-scale experimental facilities with many researchers, it is not desirable that experiments cannot be performed due to sudden failure of equipment. For this reason, it is important to predict the failure in advance based on the measurement results of sensors and to perform repairs in a planned manner. On the Q-shu University experiment with steady-state spherical tokamak (QUEST) large experimental device, it is necessary to drive a large current of 50 kA, and the diagnosis of its power line deterioration is well performed as predictive maintenance through the evaluation of its contact resistances of several micro ohms order on the network. In addition, as an example of the IoT, mechanisms to assist safe operation, such as a sound alarm system and an entrance management system, are built by sharing experimental information between devices via the network. |
| first_indexed | 2024-12-20T11:27:28Z |
| format | Article |
| id | doaj.art-626046b5de4444ffb521fd58c7876644 |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-12-20T11:27:28Z |
| publishDate | 2020-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-626046b5de4444ffb521fd58c78766442022-12-21T19:42:20ZengElsevierHeliyon2405-84402020-06-0166e04214Predictive maintenance and safety operation by device integration on the QUEST large experimental deviceMakoto Hasegawa0Kazuaki Hanada1Hiroshi Idei2Shoji Kawasaki3Takahiro Nagata4Ryuya Ikezoe5Takumi Onchi6Kengoh Kuroda7Aki Higashijima8Corresponding author.; Research Institute for Applied Mechanics, Kyushu University, Kasuga, Fukuoka, JapanResearch Institute for Applied Mechanics, Kyushu University, Kasuga, Fukuoka, JapanResearch Institute for Applied Mechanics, Kyushu University, Kasuga, Fukuoka, JapanResearch Institute for Applied Mechanics, Kyushu University, Kasuga, Fukuoka, JapanResearch Institute for Applied Mechanics, Kyushu University, Kasuga, Fukuoka, JapanResearch Institute for Applied Mechanics, Kyushu University, Kasuga, Fukuoka, JapanResearch Institute for Applied Mechanics, Kyushu University, Kasuga, Fukuoka, JapanResearch Institute for Applied Mechanics, Kyushu University, Kasuga, Fukuoka, JapanResearch Institute for Applied Mechanics, Kyushu University, Kasuga, Fukuoka, JapanAs technology has improved in recent years, it has become possible to create new valuable functions by combining various devices and sensors in a network. This concept is referred to as the Internet of Things (IoT), and predictive maintenance is a new valuable function associated with the IoT. In large-scale experimental facilities with many researchers, it is not desirable that experiments cannot be performed due to sudden failure of equipment. For this reason, it is important to predict the failure in advance based on the measurement results of sensors and to perform repairs in a planned manner. On the Q-shu University experiment with steady-state spherical tokamak (QUEST) large experimental device, it is necessary to drive a large current of 50 kA, and the diagnosis of its power line deterioration is well performed as predictive maintenance through the evaluation of its contact resistances of several micro ohms order on the network. In addition, as an example of the IoT, mechanisms to assist safe operation, such as a sound alarm system and an entrance management system, are built by sharing experimental information between devices via the network.http://www.sciencedirect.com/science/article/pii/S2405844020310586Computer scienceElectrical engineeringSafety engineeringInternet of thingsSystem diagnosticsElectric power transmission |
| spellingShingle | Makoto Hasegawa Kazuaki Hanada Hiroshi Idei Shoji Kawasaki Takahiro Nagata Ryuya Ikezoe Takumi Onchi Kengoh Kuroda Aki Higashijima Predictive maintenance and safety operation by device integration on the QUEST large experimental device Heliyon Computer science Electrical engineering Safety engineering Internet of things System diagnostics Electric power transmission |
| title | Predictive maintenance and safety operation by device integration on the QUEST large experimental device |
| title_full | Predictive maintenance and safety operation by device integration on the QUEST large experimental device |
| title_fullStr | Predictive maintenance and safety operation by device integration on the QUEST large experimental device |
| title_full_unstemmed | Predictive maintenance and safety operation by device integration on the QUEST large experimental device |
| title_short | Predictive maintenance and safety operation by device integration on the QUEST large experimental device |
| title_sort | predictive maintenance and safety operation by device integration on the quest large experimental device |
| topic | Computer science Electrical engineering Safety engineering Internet of things System diagnostics Electric power transmission |
| url | http://www.sciencedirect.com/science/article/pii/S2405844020310586 |
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