Detection of MARFEs using visible cameras for disruption prevention

Spolladore, Luca; Rossi, Riccardo; Wyss, Ivan; Gaudio, P.; Murari, A.; Gelfusa, M.

doi:10.1016/j.fusengdes.2023.113507

Cited by 9 publications

(7 citation statements)

References 13 publications

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“…At the edge, early detection of MARFEs onset is particularly relevant. The main idea behind the proposed method relies on the already mentioned observation that MARFE instabilities typically start developing in the divertor region or just above it (X-point radiator) 68 . In a safe shot, the centroid of the visible radiation would remain close to the divertor throughout the entire shot.…”

Section: Methodsmentioning

confidence: 99%

“…After thresholding, the resulting binary image contains the brightest zones of the original frame. On JET, when the centroid of the high emitting region moves vertically more than 20 pixels between two frames (corresponding to about 15 cm in physical space), a MARFE instability has typically started to develop 68 .…”

Section: Methodsmentioning

confidence: 99%

“…For each video, the presence or absence of a MARFE has been evaluated by an expert. With the aforementioned threshold, the algorithm manages to identify all the MARFEs in the database correctly, without any false positive or false negative 68 . Also in this case, the processing times are of the order of one ms by MATLAB routines, therefore much shorter than the camera frame rate and not problematic to implement in real time.…”

Section: Methodsmentioning

confidence: 99%

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A control oriented strategy of disruption prediction to avoid the configuration collapse of tokamak reactors

Murari,

Rossi,

Craciunescu

et al. 2024

Nat Commun

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The objective of thermonuclear fusion consists of producing electricity from the coalescence of light nuclei in high temperature plasmas. The most promising route to fusion envisages the confinement of such plasmas with magnetic fields, whose most studied configuration is the tokamak. Disruptions are catastrophic collapses affecting all tokamak devices and one of the main potential showstoppers on the route to a commercial reactor. In this work we report how, deploying innovative analysis methods on thousands of JET experiments covering the isotopic compositions from hydrogen to full tritium and including the major D-T campaign, the nature of the various forms of collapse is investigated in all phases of the discharges. An original approach to proximity detection has been developed, which allows determining both the probability of and the time interval remaining before an incoming disruption, with adaptive, from scratch, real time compatible techniques. The results indicate that physics based prediction and control tools can be developed, to deploy realistic strategies of disruption avoidance and prevention, meeting the requirements of the next generation of devices.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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A control oriented strategy of disruption prediction to avoid the configuration collapse of tokamak reactors

Murari,

Rossi,

Craciunescu

et al. 2024

Nat Commun

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show abstract

Section: M23 Diagnostics Of the Radiation Emissionmentioning

confidence: 99%

“…For each video, the presence or absence of a MARFE has been evaluated by an expert. With the aforementioned threshold, the algorithm manages to identify all the MARFEs in the database correctly, without any false positive or false negative [70]. Also in this case, the processing times are of the order of one ms by Matlab routines, therefore much shorter than the camera frame rate and not problematic to implement in real time.…”

Section: M23 Diagnostics Of the Radiation Emissionmentioning

confidence: 99%

A Control Oriented Strategy of Disruption Prediction to Avoid the Configuration Collapse of Tokamak Reactors

Gelfusa,

Murari,

Rossi

et al. 2023

Preprint

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The objective of thermonuclear fusion consists of producing electricity from the coalescence of light nuclei in high temperature plasmas. The most promising route to fusion envisages the confinement of such plasmas with magnetic fields, whose most studied configuration is the tokamak. Disruptions are catastrophic collapses affecting all tokamak devices and one of the main potential showstoppers on the route to a commercial reactor. Deploying new analysis methods on thousands of JET discharges, covering the isotopic compositions from hydrogen to full tritium and including the last major D-T campaign, the nature of the various forms of collapse is investigated. A new approach to proximity detection has been developed, which allows determining both the probability of and the time interval remaining before an incoming disruption, with adaptive, from scratch, real time compatible techniques. The results indicate that physics based prediction and control tools can be developed, to deploy realistic strategies of disruption avoidance and prevention, meeting the requirements of the next generation of devices.

show abstract

Advancing MARFE detection in JET’s operational camera videos through Machine Learning techniques

González Ganzábal,

Rattá,

Gadariya

et al. 2024

Fusion Engineering and Design

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Detection of MARFEs using visible cameras for disruption prevention

Cited by 9 publications

References 13 publications

A control oriented strategy of disruption prediction to avoid the configuration collapse of tokamak reactors

A control oriented strategy of disruption prediction to avoid the configuration collapse of tokamak reactors

A Control Oriented Strategy of Disruption Prediction to Avoid the Configuration Collapse of Tokamak Reactors

Advancing MARFE detection in JET’s operational camera videos through Machine Learning techniques

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