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Found 4 papers, 0 papers with code
Warped Time Series Anomaly Detection
This paper addresses the problem of detecting time series outliers, focusing on systems with repetitive behavior, such as industrial robots operating on production lines. Notable challenges arise from the fact that a task performed multiple times may exhibit different duration in each repetition and that the time series reported by the sensors are irregularly sampled because of data gaps.
Detection and classification of faults aimed at preventive maintenance of PV systems
This approach uses a complex feature extraction and selection method that improves the computational time of fault classification while maintaining high accuracy.
DTW k-means clustering for fault detection in photovoltaic modules
To solve this problem of detection, data based approaches have been proposed in the literature. However, these previous solutions consider only specific behavior of one or few faults.
Applying Active Diagnosis to Space Systems by On-Board Control Procedures
It presents the results of applying ActHyDiag to a real space case study and of implementing the generated plans in the form of On-Board Control Procedures.
