Abstract: A method and apparatus of condition monitoring and detection of vibration generated from at least two different sources using a single sensor/transducer is provided. The method and apparatus provides switchably adapting signal processing, such as amplification and frequency filtering, to one at a time of the at least two different signal sources. An example of which is vibration sources. This adapts the analogue signal from the sensor/transducer to the analogue to digital converter and any further optional analogue signal processing, so that it is possible to maximize use of available dynamic range of these and without any saturation of these. Suitably, the signal processing to analyze the vibration signals is also appropriately adapted to the vibration source in question.

Abstract: A sensor device for monitoring a component of interest, including at least one sensor for measuring at least one parameter indicative of condition of the component of interest, signal processing device for processing the signals of the sensor, a housing for at least the signal processing device and a mounting feature for mounting the sensor device close to the component of interest. The mounting feature can include a bolt and bracket having a first portion including an opening for inserting the bolt in an insertion direction and a second portion with a surface parallel to the insertion direction configured to mount the housing.

Abstract: A sensor device for monitoring a component of interest, including at least one sensor for measuring at least one parameter indicative of condition of the component of interest, signal processing device for processing the signals of the sensor, and a mounting element for mounting the sensor device close to the component of interest. The mounting element can be made of a zinc alloy.

Abstract: The cyber threat monitor and control apparatuses, methods and systems (hereinafter “CTMC”) determines risk across a global Internet network graph model for various virtual or physical network elements. In one embodiment, the CTMC defines a factor mechanism representing interactions among the set of network elements, the factor mechanism including a factor indicative of a correlation between a pair of network elements from the set of network elements, and dynamically calculate the probabilistic network security measure for each network element in the global Internet graph model based at least in part on the factor mechanism and any observed threat indicators related to the global Internet graph model.

Abstract: The real-time cyber threat indicator verification mechanism technology (hereinafter “TIVM”) instantiates one or more virtual client emulators to access a source of a threat, in response to a received threat indicator, so as to evaluate validity and/or severity of the potential threat. In one embodiment, the TIVM may receive a cyber threat indicator having identifying information of a cyber threat source; instantiate, in response to the cyber threat indicator, a virtual client emulator; send a control message to cause the virtual client emulator to interact with the cyber threat source based on the identifying information; obtain a confidence indicator relating to the cyber threat indicator based on interaction between the virtual client emulator and the cyber threat source; and generate a cyber threat indicator confirmation report including the confidence indicator.

Abstract: An apparatus including a memory and a processor that can receive information about asset-agnostic threat information from a source. The processor can receive an indication of an importance of a first organization asset, and can calculate a threat score for the first organization asset based on the information about the asset-agnostic threat information. The processor can calculate a threat score for a second organization asset based on (1) a relationship between the first organization asset and the second organization asset, and (2) the indication of the importance of the first organization asset. The processor can perform threat mitigation for the first organization asset when the threat score for the first organization asset exceeds a predetermined threshold. The processor can perform threat mitigation for the second organization asset when the threat score for the second organization asset exceeds the predetermined threshold.

Abstract: Method for detecting bearing defect severity based on bearing rotation speed and at least one data sample of sensor data obtained to measure vibrations of a bearing ring is provided. The method includes converting the data sample from time domain to frequency domain to obtain a signal frequency spectrum; determining a defect center frequency of the bearing using the rotation speed; and identifying a predetermined number of frequency peaks of the signal frequency spectrum. A total vibration energy in an overall frequency band including the predetermined number of frequency peaks is first determined; next, for each of the frequency peaks, a peak energy as a spectral energy of signal components giving rise to the frequency peaks is determined; calculating a bearing defect spectral energy using the peak energies; and finally a ratio of the bearing defect spectral energy and a total vibration energy to assess a defect severity is obtained.

Abstract: An apparatus for detecting irregularities in a rotation of roller bodies in a roller bearing, the apparatus comprising a measurement module and a processor module. The measurement module is operable to provide a deformation signal indicative of a deformation of a surface region of a bearing ring of the roller bearing, wherein the deformation is due to the rotation of the roller bodies over the surface region. The processor module is operable to extract one or more signal quantities of interest from the deformation signal and operable to provide statistical information on the one or more extracted signal quantities of interest.

Abstract: Presented herein are techniques for adding a secure control layer to a distributed communication fabric that supports publish-subscribe (pub-sub) and direct query (synchronization) communication. The secure control layer is configured to perform policy-based authentication techniques to securely manage the exchange of data/information within the communication fabric and enable registration/discovery of new capabilities.

Abstract: The cyber threat monitor and control apparatuses, methods and systems (hereinafter “CTMC”) determines risk across a global Internet network graph model for various virtual or physical network elements. In one embodiment, the CTMC defines a factor mechanism representing interactions among the set of network elements, the factor mechanism including a factor indicative of a correlation between a pair of network elements from the set of network elements, and dynamically calculate the probabilistic network security measure for each network element in the global Internet graph model based at least in part on the factor mechanism and any observed threat indicators related to the global Internet graph model.

Abstract: In an example embodiment, there is disclosed herein an apparatus comprising a wireless transceiver and a controller coupled to the wireless transceiver and configured to receive data via the wireless transceiver. The controller operates the wireless transceiver at a first power save state where the wireless transceiver can receive a frame but other circuits are de-energized. The controller is responsive to the wireless transceiver receiving a frame while the wireless transceiver is in a first power state to determine whether the frame is a predefined wakeup frame. The controller provides additional power to the wireless transceiver responsive to determining the frame is a predefined wakeup frame.

Abstract: The cyber threat monitor and control apparatuses, methods and systems (hereinafter “CTMC”) determines risk across a global Internet network graph model for various virtual or physical network elements. In one embodiment, the CTMC defines a factor mechanism representing interactions among the set of network elements, the factor mechanism including a factor indicative of a correlation between a pair of network elements from the set of network elements, and dynamically calculate the probabilistic network security measure for each network element in the global Internet graph model based at least in part on the factor mechanism and any observed threat indicators related to the global Internet graph model.

Abstract: Apparatus and methods described herein relate to a global workspace management compute device that can generate a workspace hierarchy tree representing a hierarchy of a set of workspaces in a network. A local workspace management compute device operatively coupled to the global workspace management compute device can, when operative, calculate workspace cyber-threat data for a local workspace in the set of workspaces based on data from a global workspace, and can provide the calculated workspace cyber-threat data to a local workspace interface so that the local workspace interface displays a representation of the set of workspaces in the network. After receiving modifications of portions of the local workspace cyber-threat data, the local workspace management compute device can define a child node of the local workspace based on the modifications. The local workspace interface can modify the representation of the set of workspaces in the network based on the child node.

Abstract: A sensor unit for a bearing including at least one inner ring and at least one outer ring, wherein the sensor unit is configured to detect at least one state variable of the bearing. The sensor unit is embedded in a recess of one of the inner ring or the outer ring.

Abstract: In an example embodiment, there is disclosed herein an apparatus comprising a wireless transceiver and a controller coupled to the wireless transceiver and configured to receive data via the wireless transceiver. The controller operates the wireless transceiver at a first power save state where the wireless transceiver can receive a frame but other circuits are de-energized. The controller is responsive to the wireless transceiver receiving a frame while the wireless transceiver is in a first power state to determine whether the frame is a predefined wakeup frame. The controller provides additional power to the wireless transceiver responsive to determining the frame is a predefined wakeup frame.

Abstract: Embodiments provide a couplant and an arrangement of a couplant, a transducer, and a construction component. The couplant is adapted to couple the transducer to the surface of the construction component. The couplant provides 36% to 40% mass portion of hard metal.

Abstract: In an example embodiment, a wireless client sends a probe request frame and waits for responses to the probe frame. The responses to the probe request from comprise encrypted data representative of the signal strength of the client as measured by the respondent that are digitally signed by the respondent's certificate. The client aggregates the responses and forwards them to a location based server.

Abstract: Method for detecting bearing defect severity based on bearing rotation speed and at least one data sample of sensor data obtained to measure vibrations of a bearing ring is provided. The method includes converting the data sample from time domain to frequency domain to obtain a signal frequency spectrum; determining a defect center frequency of the bearing using the rotation speed; and identifying a predetermined number of frequency peaks of the signal frequency spectrum. A total vibration energy in an overall frequency band including the predetermined number of frequency peaks is first determined; next, for each of the frequency peaks, a peak energy as a spectral energy of signal components giving rise to the frequency peaks is determined; calculating a bearing defect spectral energy using the peak energies; and finally a ratio of the bearing defect spectral energy and a total vibration energy to assess a defect severity is obtained.

Abstract: The real-time cyber threat indicator verification mechanism technology (hereinafter “TIVM”) instantiates one or more virtual client emulators to access a source of a threat, in response to a received threat indicator, so as to evaluate validity and/or severity of the potential threat. In one embodiment, the TIVM may receive a cyber threat indicator having identifying information of a cyber threat source; instantiate, in response to the cyber threat indicator, a virtual client emulator; send a control message to cause the virtual client emulator to interact with the cyber threat source based on the identifying information; obtain a confidence indicator relating to the cyber threat indicator based on interaction between the virtual client emulator and the cyber threat source; and generate a cyber threat indicator confirmation report including the confidence indicator.