Internet-of-things edge services for device fault detection based on current signals
AssigneeSap SE
InventorsJie He, Jianwei Chen, Xuemin Wang
Life of this patent
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AssigneeSap SE
InventorsJie He, Jianwei Chen, Xuemin Wang
Estimating the term…
Methods, systems, and computer-readable storage media for receiving, by an anomalous operation detection service, current signal data representing a driving current applied to a device over a time period, processing, by an anomalous operation detection service, the current signal data through a deep neural network (DNN) module, a frequency spectrum analysis (FSA) module, and a time series classifier (TSC) module to provide a set of indications, each indication in the set of indications indicating one of normal operation of the device and anomalous operation of the device, processing, by an anomalous operation detection service, the set of indications through a voting gate to provide an output indication, the output indication indicating one of normal operation of the device and anomalous operation of the device, and selectively transmitting one or more of an alert and a message based on the output indication.
A computer-implemented method for detecting anomalous operation of devices, the method being executed by one or more processors and comprising:
A non-transitory computer-readable storage medium coupled to one or more processors and having instructions stored thereon which, when executed by the one or more processors, cause the one or more processors to perform operations for detecting anomalous operation of devices, the operations comprising:
A system, comprising:
Dependencies are inferred from the claim text.