Sap Se

Shanghai Jiaotong University

Jianwei Chen

Jie He

Xuemin Wang

Lin Cai

Xiaoling Zhou

Jiaying Hu

Dabing Zhang

Shengce Tao

Litao Yang

Ning Shao

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.

Internet-of-Things edge services for device fault detection based on current signals

A computer-implemented method for failure diagnosis using fault tree can include: receiving a fault tree comprising a node representing a top event, a plurality of nodes representing respective basic events, and one or more logic gates connecting the plurality of nodes representing the respective basic events to the node representing the top event; obtaining reliability parameters corresponding to the basic events; calculating fault tree importance measures corresponding to the basic events; calculating failure impact factors of the top event corresponding to the basic events, wherein the failure impact factors of the top event are products of the corresponding reliability parameters and the corresponding fault tree importance measures; ranking the basic events based on the failure impact factors of the top event; and identifying a most significant contributor to the top event, wherein the most significant contributor is a basic event having the highest failure cause probability of the top event.

Systems and methods for failure diagnosis using fault tree

A high-throughput and rapid nucleic acids detection method based on capillary microarrays comprises the steps that firstly, microarray containing a number of hydrophilic and vertical micro-channels is fabricated by capillary assembling, casting and machining, and the outer surface of the capillary array is coated with super-hydrophobic Ultra-Ever Dry paint; secondly, different primer sets are individually loaded into the micro-channels and air-dried to adhere them on the inner surface, and then the microarray is anchored into a reaction tube; thirdly, the reaction mixture is introduced into every microchannel at once through capillary force by a special designed sample-loading adaptor, and then the amplification reaction is performed in the temperature control device; and finally, the fluorescence can either be measured continually during the reaction for real-time detection or be recorded once in the end for endpoint detection. Moreover, the products can also be recovered for other use later.

High-throughput and rapid nucleic acids detection method based on capillary microarrays

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Shanghai, China

Jianwei Chen