Online Detuning Computation and Quench Detection for Superconducting Resonators

Bellandi, Andrea; Butkowski, Łukasz; Dursun, Burak; Eichler, Annika; Gumus, Cagil; Kuntzsch, Michael; Nawaz, Ayla; Pfeiffer, Sven; Schlarb, H.; Schmidt, Christian; Zenker, Klaus; Branlard, Julien

doi:10.1109/tns.2021.3067598

Cited by 11 publications

(3 citation statements)

References 6 publications

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“…It is interesting to note that the GLR stays below the threshold despite the heavy detuning. This is to be expected, as the residual in (7) is the difference between detuning values resulting from two differential equations of the same electromagnetic model (1). If we assume that the model holds, a common mode detuning change will affect both equations identically, hence yielding a zero residual.…”

Section: Ql Changementioning

confidence: 89%

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Anomaly Detection at the European XFEL using a Parity Space based Method

Eichler¹,

Branlard²,

Timm³

2022

Preprint

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A novel approach to detect anomalies in superconducting radio-frequency cavities is presented, based on the parity space method with the goal to detect quenches and distinguish them from other anomalies. The model-based parity space method relies on analytical redundancy and generates a residual signal computed from measurable RF waveforms. The residual is a sensitive indicator of deviation from the model and provides different signatures for different types of anomalies. This new method not only helps with detecting faults, but also provides a catalogue of unique signatures, based on the detected fault. The method was experimentally verified at the European X-ray Free Electron Laser (EuXFEL). Various types of anomalies incorrectly detected as quenches by the current quench detection system are analysed using this new approach.

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Section: Ql Changementioning

confidence: 89%

“…The electrical and mechanical behaviour of SRF cavities is well understood and can be modelled [4]. Thus, model-based fault detection methods can be used to detect faults as it has been demonstrated in [5][6][7]. These model-based approaches provide a promising insight on anomaly detection and categorization.…”

Section: Introductionmentioning

confidence: 99%

Anomaly Detection at the European XFEL using a Parity Space based Method

Eichler¹,

Branlard²,

Timm³

2022

Preprint

Self Cite

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show abstract

“…It is one of the classic methods for the detection and prevention of such quenches. In [2] an online approach for quench detection based on the calculation of detuning and bandwidth on superconducting cavities is presented which is specially tailored to continuous wave operation. A model-based approach for anomaly detection on cavities is shown in [3].…”

Section: Introductionmentioning

confidence: 99%

A data-driven anomaly detection on SRF cavities at the European XFEL

Sulc

Eichler

Wilsken

2023

J. Phys.: Conf. Ser.

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The European XFEL is currently operating with hundreds of superconducting radio frequency cavities. To be able to minimize the downtimes, prevention of failures on the SRF cavities is crucial. In this paper, we propose an anomaly detection approach based on a neural network model to predict occurrences of breakdowns on the SRF cavities based on a model trained on historical data. We used our existing anomaly detection infrastructure to get a subset of the stored data labeled as faulty. We experimented with different training losses to maximally profit from the available data and trained a recurrent neural network that can predict a failure from a series of pulses. The proposed model is using a tailored architecture with recurrent neural units and takes into account the sequential nature of the problem which can generalize and predict a variety of failures that we have been experiencing in operation.

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LLRF Applications

Simrock

Zhang

2022

Low-Level Radio Frequency Systems

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Online Detuning Computation and Quench Detection for Superconducting Resonators

Cited by 11 publications

References 6 publications

Anomaly Detection at the European XFEL using a Parity Space based Method

Anomaly Detection at the European XFEL using a Parity Space based Method

A data-driven anomaly detection on SRF cavities at the European XFEL

LLRF Applications

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