Abstract: A system includes a computer processor located within a cloud system. The system receives data from a sensor associated with an industrial or home automation control application. The sensor is configured to monitor a first condition of a device. The computer processor analyzes the data, and transmits a software update or software download from the cloud system to the industrial or home automation control application based on the data analysis.

Abstract: Embodiments relate generally to a system having one or more computerized kiosks (102, 150, 160, 180, 192) operable to associate a personal protection device (104) to a worker's personal information. In some embodiments, the kiosk (102, 150, 160, 180, 192) can use the worker's personal information to custom configure the personal protection device (104), so that the device (104) will better suit the needs of the specific worker.

Abstract: Embodiments relate generally to a system having one or more computerized kiosks (102, 150, 160, 180, 192) operable to associate a personal protection device (104) to a worker's personal information. In some embodiments, the kiosk (102, 150, 160, 180, 192) can use the worker's personal information to custom configure the personal protection device (104), so that the device (104) will better suit the needs of the specific worker.

Abstract: A system includes a computer processor located within a cloud system. The system receives data from a sensor associated with an industrial or home automation control application. The sensor is configured to monitor a first condition of a device. The computer processor analyzes the data, and transmits a software update or software download from the cloud system to the industrial or home automation control application based on the data analysis.

Abstract: A method includes receiving a signal associated with one or more sensors. The method also includes examining one or more parameters of a signal conditioning circuit to determine whether clipping of the signal has occurred. The method further includes, upon a determination that clipping of the signal has occurred, decreasing a gain of the signal conditioning circuit. In addition, the method includes, upon a determination that clipping of the signal has not occurred, determining whether a cut-off frequency of the signal conditioning circuit is within a range of a frequency response of an object measured by the one or more sensors. The method can further include changing the cut-off frequency of the signal conditioning circuit and increasing a resistance or a capacitance of the signal conditioning circuit.

Abstract: Devices, methods, and systems for security log mining are described herein. One method includes combining, using a data fusion unit of an access control system, features of structured and non-structured data associated with system access events for a number of users into a combined data set, generating, using an anomaly detection engine of the access control system, a model of behavior for the number of users based on the combined data set, and comparing, using the anomaly detection engine of the access control system, real time behavior for the number of users to the model for the number of users to determine whether the real time behavior for the number of users is anomalous behavior for the number of users.

Abstract: A method includes receiving an input signal containing information associated with a rolling element bearing and/or a piece of equipment containing the rolling element bearing. The method also includes decomposing the input signal into a frequency-domain signal and determining at least one family of frequencies corresponding to at least one failure mode of the rolling element bearing. The method further includes generating a reconstructed input signal using the at least one family of frequencies and the frequency-domain signal. In addition, the method includes determining, using the reconstructed input signal, an indicator identifying an overall health of the rolling element bearing. The indicator could be determined using a baseline signal associated with either (i) normal operation of the rolling element bearing and/or the piece of equipment or (ii) defective operation of the rolling element bearing and/or the piece of equipment (where a severity of the defective operation will increase over time).

Abstract: Devices, methods, and systems for security log mining are described herein. One method includes combining, using a data fusion unit of an access control system, features of structured and non-structured data associated with system access events for a number of users into a combined data set, generating, using an anomaly detection engine of the access control system, a model of behavior for the number of users based on the combined data set, and comparing, using the anomaly detection engine of the access control system, real time behavior for the number of users to the model for the number of users to determine whether the real time behavior for the number of users is anomalous behavior for the number of users.

Abstract: A flare monitoring and control system monitors parameters that affect the amount of smoke generated during a flaring operation. The system receives data relating to the parameters, and analyzes the data relating to the parameters. The system predicts an impending increase in the amount of smoke generated during the flaring operation, and varies a value of one or more parameters to prevent the impending increase in the amount of smoke generated during the flaring operation.

Abstract: A method and apparatus are provided for facilitating passage of a passenger through immigration, customs, and security at a destination airport. Immigration and customs forms are completed and assistance is requested by communicating either on-line or verbally with a port-of-entry (POE) and requesting assistance from the POE, using a hand-held, portable communication device, prior to landing at the destination airport.

Abstract: A system includes more sensors configured to measure one or more characteristics of rotating equipment and a blind fault detection device. The blind fault detection device includes an input interface configured to receive at least one input signal from the one or more sensors. The blind fault detection device also includes a processing unit configured to identify a fault in the rotating equipment using the at least one input signal. The blind fault detection device further includes an output interface configured to provide an indicator identifying the fault. The processing unit is configured to identify the fault by determining at least one family of frequencies related to at least one sensor point, determining an average energy for the at least one sensor point based on the at least one family of frequencies, and comparing the average energy to a baseline value.

Abstract: A system includes multiple sensors configured to measure one or more characteristics of a rotating o reciprocating systems. The system also includes a monitoring system configured to monitor a health of the rotating system. The monitoring system includes an input interface configured to receive multiple input signals from the sensors. The monitoring system also includes a processing unit configured to identify a fault in the rotating system using the input signals. The monitoring system further includes an output interface configured to provide an indicator identifying the fault. The processing unit is configured to identify the fault by (i) generating a pressure-volume diagram from a fusion of the input signals and comparing the pressure-volume diagram to a previous diagram to determine changes in the diagrams and/or (ii) normalizing the input signals and using the normalized input signals to identify a defect and calculate a confidence level of the defect.

Abstract: A method includes receiving a signal associated with one or more sensors. The method also includes examining one or more parameters of a signal conditioning circuit to determine whether clipping of the signal has occurred. The method further includes, upon a determination that clipping of the signal has occurred, decreasing a gain of the signal conditioning circuit. In addition, the method includes, upon a determination that clipping of the signal has not occurred, determining whether a cut-off frequency of the signal conditioning circuit is within a range of a frequency response of an object measured by the one or more sensors. The method can further include changing the cut-off frequency of the signal conditioning circuit and increasing a resistance or a capacitance of the signal conditioning circuit.

Abstract: A system includes a plurality of sensors configured to measure one or more characteristics of an impeller. The system also includes an impeller condition indicator device, which includes a plurality of sensor interfaces configured to receive input signals associated with at least one stage of the impeller from the sensors. The impeller condition indicator device also includes a processor configured to identify a fault in the impeller using the input signals and an output interface configured to provide an indicator identifying the fault. The processor is configured to identify the fault by determining a family of frequencies related to at least one failure mode of the impeller, decomposing the input signals using the family of frequencies, reconstructing a impeller signal using the decomposed input signals, and comparing the reconstructed impeller signal to a baseline signal. The family of frequencies includes a vane pass frequency and its harmonics.

Abstract: A system includes multiple sensors configured to measure one or more characteristics of a rotating o reciprocating systems. The system also includes a monitoring system configured to monitor a health of the rotating system. The monitoring system includes an input interface configured to receive multiple input signals from the sensors. The monitoring system also includes a processing unit configured to identify a fault in the rotating system using the input signals. The monitoring system further includes an output interface configured to provide an indicator identifying the fault. The processing unit is configured to identify the fault by (i) generating a pressure-volume diagram from a fusion of the input signals and comparing the pressure-volume diagram to a previous diagram to determine changes in the diagrams and/or (ii) normalizing the input signals and using the normalized input signals to identify a defect and calculate a confidence level of the defect.

Abstract: A system includes more sensors configured to measure one or more characteristics of rotating equipment and a blind fault detection device. The blind fault detection device includes an input interface configured to receive at least one input signal from the one or more sensors. The blind fault detection device also includes a processing unit configured to identify a fault in the rotating equipment using the at least one input signal. The blind fault detection device further includes an output interface configured to provide an indicator identifying the fault. The processing unit is configured to identify the fault by determining at least one family of frequencies related to at least one sensor point, determining an average energy for the at least one sensor point based on the at least one family of frequencies, and comparing the average energy to a baseline value.

Abstract: A system includes a subsystem interaction module device, which includes at least one interface configured to receive input signals associated with multiple components of a system. The subsystem interaction module device also includes at least one processing unit configured to identify a potential fault in one or more of the components using the input signals and to provide an indicator identifying the potential fault. The at least one processing unit is configured to identify the potential fault by: identifying conflicting frequencies that are associated with different faults in the components of the system; and determining a confidence level associated with the potential fault based on the conflicting frequencies.

Abstract: A method includes obtaining a baseline vibration level of a machine and normalizing the baseline vibration level with a specified threshold value to generate a normalized baseline vibration level. The specified threshold value is based on a type of the machine. The method also includes obtaining a measurement of an operational vibration level of the machine during its operation, normalizing the measured operational vibration level against the normalized baseline vibration level, and identifying at least indicator of a status of the machine based on the normalized operational vibration level.

Abstract: A method includes receiving one or more vibration signals representing physical vibrations generated by a shaft of a machine during operation. The method also includes determining a rotational speed of the shaft. The method further includes identifying one or more sets of frequency components of the vibration signals based on the speed of the shaft, where each set of frequency components is associated with an operational characteristic of the shaft. In addition, the method includes determining one or more health indicators of the shaft based on relative energy levels of the frequency components in each set of frequency components.

Abstract: A method includes obtaining information associated with a machine having one or more components, where the information includes multiple rules associated with the one or more components. The method also includes receiving measurements of a vibration level of the machine and generating, based on the measurements, one or more feature values for one or more features associated with the one or more components. The method further includes determining a component-related condition for the one or more components based on the one or more feature values and the rules. In addition, the method includes providing an indicator identifying the component-related condition.