Abstract: A system includes a first optical sensor sensitive to both a parameter of interest, Parameter1, and at least one confounding parameter, Parameter2 and a second optical sensor sensitive only to the confounding parameter. Measurement circuitry measures M1 in response to light scattered by the first optical sensor, where M1=value of Parameter1+K*value of Parameter2. The measurement circuitry also measures M2 in response to light scattered by the second optical sensor, where M2=value of Parameter2. Compensation circuitry determines a compensation factor, K, for the confounding parameter based on measurements of M1 and M2 taken over multiple load/unload cycles or over one or more thermal cycles. The compensation factor is used to determine the parameter of interest.

Abstract: An approach to detecting partial discharge events involves retrofitting an electrical system to include a capacitive sensor configured to capacitively sense partial discharge events of a component of the electrical system. The capacitive sensor has a first electrical conductor that forms a first terminal of the capacitive sensor, a second electrical conductor that forms a second terminal of the capacitive sensor, and a dielectric that separates the first electrical conductor and the second electrical conductor. The capacitive sensor generates an electrical sensor signal at an output of the capacitive sensor in response to the partial discharge event. The electrical sensor signal is converted to an optical signal and the optical signal is processed to detect an occurrence of the partial discharge event.

Abstract: A sensor system includes a sensor network comprising at least one optical fiber having one or more optical sensors. At least one of the optical sensors is arranged to sense vibration of an electrical device and to produce a time variation in light output in response to the vibration. A detector generates an electrical time domain signal in response to the time variation in light output. An analyzer acquires a snapshot frequency component signal which comprises one or more time varying signals of frequency components of the time domain signal over a data acquisition time period. The analyzer detects a condition of the electrical device based on the snapshot frequency component signal.

Abstract: A monitoring system includes an array of optical sensors disposed within a transformer tank. Each optical sensor is configured to have an optical output that changes in response to a temperature within the transformer tank. An analyzer is coupled to the array of optical sensors. The analyzer is configured to determine a sensed temperature distribution based on the sensed temperature. The sensed temperature distribution is compared to an expected distribution. Exterior contamination of the transformer tank is detected based on the comparison.

Abstract: A sensor system includes a sensor network comprising at least one optical fiber having one or more optical sensors. At least one of the optical sensors is arranged to sense vibration of an electrical device and to produce a time variation in light output in response to the vibration. A detector generates an electrical time domain signal in response to the time variation in light output. An analyzer acquires a snapshot frequency component signal which comprises one or more time varying signals of frequency components of the time domain signal over a data acquisition time period. The analyzer detects a condition of the electrical device based on the snapshot frequency component signal.

Abstract: Embodiments disclosed herein provide systems, methods, and machine-readable media for container-based application reification. In an example embodiment, an application reification system preserves a version of application data at a first time and a configuration of an application at the first time. At a second time, the application reification system creates a template for a container containing the application in the configuration and a pointer to the version of the application data in a secondary storage repository.

Abstract: Embodiments disclosed herein provide systems, methods, and machine-readable media for container-based application reification. In an example embodiment, an application reification system preserves a version of application data at a first time and a configuration of an application at the first time. At a second time, the application reification system creates a template for a container containing the application in the configuration and a pointer to the version of the application data in a secondary storage repository.

Abstract: Embodiments disclosed herein provide systems, methods, and computer readable media for container based application reification. In a particular embodiment, an application reification system is provided including one or more computer readable storage media and a processing system operatively coupled with the one or more computer readable storage media. The application reification system further includes program instructions stored on the one or more computer readable storage media that, when read and executed by the processing system, direct the processing system to preserve a version of application data at a first time and a configuration of an application at the first time. At a second time subsequent to the first time, the program instructions direct the processing system to create a template for a container containing the application in the configuration and a pointer to the version of the application data in a secondary storage repository.

Abstract: A corrosion monitoring system includes one or more objects coupled to respective portions of a transformer tank. The one or more objects are configured to corrode before the respective portions of the transformer tank. At least one optical sensor is coupled to each of the objects. The at least one optical sensor has an optical output that changes in response to strain of the object. An analyzer is coupled to the at least one optical sensor. The analyzer is configured to perform one or more of detecting and predicting corrosion of the transformer tank based on the output of the at least one optical sensor.

Abstract: One embodiment can provide a system for detecting anomaly for high-dimensional sensor data associated with one or more machines. During operation, the system can obtain sensor data from a set of sensor associated with one or machines, apply data exploration techniques on the sensor data to automatically process sensor data to identify a subset of feature sensors from the available set of feature sensors, apply an unsupervised machine-learning technique to the identified subset of feature sensors and the target sensor to learn a set of pair-wise univariate models, and determine whether and how an anomaly occurs in the operation of the one or more machines based on the set of pair-wise univariate models.

Abstract: A system includes a first optical sensor sensitive to both a parameter of interest, Parameter1, and at least one confounding parameter, Parameter2 and a second optical sensor sensitive only to the confounding parameter. Measurement circuitry measures M1 in response to light scattered by the first optical sensor, where M1=value of Parameter1+K*value of Parameter2. The measurement circuitry also measures M2 in response to light scattered by the second optical sensor, where M2=value of Parameter2. Compensation circuitry determines a compensation factor, K, for the confounding parameter based on measurements of M1 and M2 taken over multiple load/unload cycles or over one or more thermal cycles. The compensation factor is used to determine the parameter of interest.

Abstract: An illustrative embodiment disclosed herein is an apparatus including a processor having programmed instructions to send an application programming interface (API) write request to a first virtual machine (VM) on a first node to write an object, receive a response to the API write request including a physical disk location of a physical disk to which the object is written, wherein the physical disk is located on a second node, and using the physical disk location, send an API read request to a second VM on the second node to read the object.

Abstract: An illustrative embodiment disclosed herein is an apparatus including a processor having programmed instructions to map a plurality of objects to a region and map the region to a plurality of vdisks. The plurality of objects are stored in the plurality of vdisks. The processor has programmed instructions to, responsive to mapping the plurality of objects to the region, identify a policy associated with the region. The policy specifies a policy action in response to satisfying a predetermined condition. The processor has programmed instructions to, responsive to satisfying the predetermined condition, access the plurality of vdisks and perform the policy action on the plurality of objects.

Abstract: A battery includes a folded bicell battery stack with an embedded fiber optic cable and sensor. A cell casing encloses the bicell stack with at least one fiber optic cable is embedded within the battery. The fiber optic cable includes an internal portion disposed within the cell casing and having at least one optical sensor disposed thereon. An external portion of the fiber optic cable protrudes from the casing. A sealing gasket is disposed at least partially around the fiber optic cable and between the cell sealing edges at a point of entry of the fiber optic cable into the battery.

Abstract: A partial discharge (PD) transducer that includes a PD sensor configured to sense a PD event of an electrical system. At least one light emitting device (LED) is arranged in series with the PD sensor. The LED is configured to receive the electrical sensor signal from the PD sensor and to generate a light signal in response to the electrical sensor signal.

Abstract: A partial discharge (PD) detection system includes a PD sensor configured to sense a PD event of an electrical system and to generate a sensor signal in response to the PD event. An envelope generator is coupled to receive the sensor signal from the PD sensor. The envelope generator extracts an envelope signal from the sensor signal. A digitizer is configured to convert the envelope signal to a digital representation of the PD event.

Abstract: One embodiment provides a system for facilitating anomaly detection and characterization. During operation, the system determines, by a computing device, a first set of testing data which includes a plurality of data points, wherein the first set includes a data series for a first variable and one or more second variables. The system identifies anomalies by dividing the first set into a number of groups and performing an inter-quartile range analysis on data in each respective group. The system obtains, from the first set, a second set of testing data which includes a data series from a recent time period occurring before a current time, and which further includes a first data point from the identified anomalies. The system classifies the first data point as a first type of anomaly based on whether a magnitude of a derivative of the second set is greater than a first predetermined threshold.

Abstract: One embodiment can provide a system for detecting faults in a machine. During operation, the system can obtain a dynamic signal associated with the machine, apply one or more signal-processing techniques to the dynamic signal to obtain frequency, amplitude, and/or time-frequency information associated with the dynamic signal, extract motion-insensitive features from the obtained frequency, amplitude, and/or time-frequency information associated with the dynamic signal, and determine whether a fault occurs in the machine based on the extracted features.

Abstract: One embodiment can provide a system for estimating a useful life of a load-bearing structure at least partly made of a conductive material. During operation, the system establishes a physics-based damage model for the load-bearing structure, performs a dynamic measurement to obtain at least one conductive property of the load-bearing structure as a function of fatigue cycles, estimates parameters of the physics-based damage model based on the measured conductive property, and estimates the useful life of the load-bearing structure based on the estimated parameters of the physics-based damage model.

Abstract: One embodiment provides a system for facilitating anomaly detection. During operation, the system determines, by a computing device, a set of testing data which includes a plurality of data points, wherein the set includes a data series for a first variable and one or more second variables, and wherein the one or more second variables are dependent on the first variable. The system divides the set of testing data into a number of groups based on a type of the data series. The system determines an inter-quartile range for a respective group. The system classifies a first testing data point in the respective group as an anomaly based on the inter-quartile range for the respective group, thereby enhancing data mining and outlier detection for the data series for multiple variables.