Abstract: A technique for estimating and improving the test coverage for large machines, while accumulating minimum information of past test cases (i.e., minimum feedback) is provided. The technique is scalable in the sense that the number of machine instructions needed to measure the test coverage can range from a few instructions to all the instructions. The technique is easily integrated into existing test generation systems and is applicable to both uni- and multi-processing systems.

Abstract: An apparatus for analysing the condition of a machine having a rotating shaft, includes: at least one input for receiving measurement data from a sensor for surveying a measuring point of the machine, the measurement data being dependent on rotation of the shaft; and a data processing device for processing condition data dependent on the measurement data. The data processing device includes a device for performing a plurality of condition monitoring functions (F1, F2, Fn), wherein the data processing device includes a Field Programmable Gate Array circuit coupled to the at least one input.

Abstract: A method and system are disclosed for removing very low frequency noise from a time-based data set for use in data analysis of the time-based data set having a plurality of data points, the method comprising providing the time-based data set to be analyzed, determining a baseline value from at least a portion of the data set, smoothing the data set to diminish an effect of extraneous data points and obtain smoothed data, wherein the smoothing includes using a Fast Fourier Transform (FFT) algorithm to transfer the time-based data set into a frequency based data set, attenuating low frequencies of the frequency-based data set and using an inverse Fourier Transform (FFT) algorithm to transfer the attenuated frequency based data set into an attenuated time-based data set.

Abstract: A method for performing an availability measurement on a networked system comprising: identifying at least one measurement point in the system; defining a measurement model configured to return a pass or fail result corresponding to a threshold sensed at the at least one measurement point and to a measurement function; measuring the system using the measurement model, wherein measuring the system comprises a plurality of measurements; collecting a plurality of pass or fail results from the plurality of measurements, wherein each one of the plurality of pass or fail results corresponds to a measurement point and to a measurement function of one or more measurements; and aggregating the plurality of pass or fail results to formulate a single availability value representing the availability of the system.

Abstract: A test system with multiple instruments. Some instruments act as controller instruments and others act as controlled instruments. Each instrument includes a clock generator that synthesizes one or more local clocks from a reference clock. The reference clock is a relatively low frequency clock that can be inexpensively but accurately generated and distributed to all of the instruments. A communication link between instruments is provided. Timing circuits within instruments that are to exchange time information are synchronized to establish a common time reference. Thereafter, instruments communicate time dependent commands or status messages asynchronously over the communication link by appending to each message a time stamp reflecting a time expressed relative to the common time reference. The test system includes digital instruments that contain pattern generators that send command messages to analog instruments, which need not include pattern generators.

Abstract: A radio frequency power delivery system comprises an RF power generator, arc detection circuitry, and control logic responsive to the arc detection circuitry. A dynamic boundary is computed about the measured value of a parameter representative of or related to the power transferred from the power generator to a load. A subsequently measured value of the parameter that exceeds the computed dynamic boundary of the parameter indicates detection of an arc. Upon detection of an arc, power delivery from the generator is interrupted or adjusted, or other action is taken, until the arc is extinguished. By employing dynamic computation of arc detection boundaries, the invention allows for arc handling in RF power deliver systems regardless of whether the system has reached a stable power delivery condition.

Abstract: There is provided a method and apparatus for performing an eye scan. Said apparatus comprises: a receiver for receiving input signals; an equaliser for processing said input signals; a data sampler for sampling said processed input signals at certain sampling points to produce a data output, said data sampler being controlled by a clock signal; an edge sampler for detecting the edges of the processed input signal; an early/late voter for deciding whether a current sampling point needs to be advanced or retarded. The early/late voter passes an Up/Down signal to an interpolator for maintaining said clock signal, said interpolator acting on said Up/Down signal to adjust the clock signal by stepping it forward or backward according to control need, so that said sampling point can be advanced or retarded.

Abstract: A method of strongly decorrelating signals comprising processing input signals to determine delay and rotation parameters which implement at least one elementary paraunitary matrix. The parameters transform the input signals into output signals with improvement in a measure of strong decorrelation. The improvement in the measure of strong decorrelation is then assessed: if it is significant the latest output signals are, designated as input signals and the process is iterated. Iteration continues until the measure of strong decorrelation ceases to improve significantly, at which point the latest output signals are designated as signals decorrelated in a wide sense.

Abstract: A method and system is provided for management of medical data from a network of devices. The network of devices may include federated sensors that collect and forward medical data pertaining to an individual or biological specimen. The federated sensors or a central or remote device may further process the medical data and assign a priority value to the medical data. Processing can also include the analysis of the data for sensor error, local fusion of multiple sensors into higher-level interpretations, and the summarization or abstraction of the data into information that people are more comfortable with sharing than they might be with transmittal of the base data. The medical data may be transported to a healthcare provider or other endpoints based on the priority value and the authorization of recipient.

Abstract: A method for determining an electrical current value using at least two current sensing circuits. One current sensing circuit is provided if the current value is below a switching threshold. The other current sensing is provided if the current value is above a switching threshold. Both current sensing circuits having a processing means to process the current signal and a determining means to determine the value of the current signal.

Abstract: A method is disclosed for network knowledge-based diagnosis comprising the machine-implemented steps of creating and storing one or more symptoms, wherein each symptom comprises a set of information elements that represent one or more network events that may be potentially received from a computer network; associating a weight value with each information element of the one or more symptoms; associating a confidence time interval value with each of the one or more symptoms; receiving one or more network events from elements in the computer network; and determining a set of one or more candidate diagnoses of a problem indicated by the received network events, by (a) selecting one or more symptoms that include at least one of the received network events and (b) using functions that map the selected symptoms to one or more candidate diagnoses, based on all weight values of events in the selected symptoms and the confidence time interval values of the selected symptoms.

Abstract: An electrical power generator is characterized by a plurality of system parameters. The generator includes a controller for protecting the generator. The controller obtains data from which a present operating point of the generator and a power generating capacity of the generator can be determined. The controller further monitors data indicative of at least one system parameter as a function of time to detect an abnormality in a value of the system parameter. The controller then categorizes a type of event that caused the abnormality with respect to the data indicative of the system parameter as a function of time, the present operating point, and the power generating capacity. Finally, the controller provides a response for addressing the type of event that caused the abnormality.

Abstract: One of the thermal transmission rates that represent thermal transmission from gas to steam in a heat exchanger constituting a boiler is calculated based on thermal conductivity rate of pipes and thermal transfer of steam and gas, and the other is compared with the thermal conductivity rate calculated based on the thermal conductivity rate of the pipes and thermal transfer rate of steam and gas.

Abstract: Systems and methods are provided for monitoring, diagnosis and condition-based maintenance of mechanical systems. The disclosed systems and methods employ intelligent model-based diagnostic methodologies to effectuate such monitoring, diagnosis and maintenance. According to exemplary embodiments of the present disclosure, the intelligent model-based diagnostic methodologies combine or integrate quantitative (analytical) models and graph-based dependency models to enhance diagnostic performance. The disclosed systems and methods may be employed a wide variety of applications, including automotive, aircraft, power systems, manufacturing systems, chemical processes and systems, transportation systems, and industrial machines/equipment.

Abstract: A power management architecture for an electrical power distribution system, or portion thereof, is disclosed. The architecture includes multiple electronic devices distributed throughout the power distribution system to manage the flow and consumption of power from the system using real time communications. Power management application software and/or hardware components operate on the electronic devices and the back-end servers and inter-operate via the network to implement a power management application. The architecture provides a scalable and cost effective framework of hardware and software upon which such power management applications can operate to manage the distribution and consumption of electrical power by one or more utilities/suppliers and/or customers which provide and utilize the power distribution system.

Abstract: The present invention relates to a computer program product or code in memory for detecting and transmitting sensory data from a portable field device 10 to a processor 12 via a computer network 10 for analytic purposes. The product includes a code directed to capturing analyte data pertaining to an unknown analyte using a field device 10. The product further includes a code directed to encoding the captured analyte data and transmitting the encoded analyte data via a computer network 18 to a processor 12 for analysis. The product also includes a code directed to performing an analysis of the captured analyte data at a remote location by the processor 12 using data of known analytes retrieved from an electronic library 14. This code and others can be used with the present invention to perform the functionality described herein as well as others.

Abstract: An Enterprise Energy Management (“EEM”) software system is disclosed that displays EEM data and allows a user to interact with the data to better understand and manage their electrical system. The EEM software system collects real-time, near real-time and historical input data from various data sources, creates useful information from that data by filtering and isolating relevant data and performing analytics on the data, displays that data to the user in an easy to understand format, and allows the user to interact with the displayed data. The EEM software allows the user to perform what-if analysis, make changes in their system and verify results of those changes. The graphical user interfaces provide context sensitive and relevant guidance to novice and expert users.

Abstract: The present invention provides a method for modeling the performance of a system comprising computer software operating on computer hardware. In accordance with the present invention, system performance is modeled by fitting non-linear curves to data points for system performance parameters, such as response time and throughput, as a function of load. Data points may be measured in testing may be measured through monitoring a system operating in a production environment. While a variety of non-linear curves may be used in accordance with the present invention, a logarithmic curve may be used to model system throughput and an exponential curve may be used to model system response time. By defining a relationship between throughput and response time a distance may be calculated between the curves, and this distance may be used to determine an optimal load.

Abstract: A monitoring system includes a plurality of monitoring devices adjacently provided to a group of integrated fuel cell stacks for measuring a voltage of the fuel cell units. Each of the monitoring devices includes a plurality of monitoring sensors adapted for electrically connecting to a predetermined set of fuel cell units and a MCU (Micro-Chip-Unit) for sequentially and circularly switching each two neighboring monitoring sensors for reading the voltage of each respective fuel cell. A CAN bus is provided for electrically and collectively interconnecting the monitoring devices with a central operator which is arranged in such a manner that when said the voltage of the respective fuel cell unit exceeds a safety range, the central operator generates an alert signal for indicating an abnormal operation of the respective fuel cell.

Abstract: A system for remote energy consumption system identification of a facility includes a processor, and a memory coupled to the processor. The system also includes an energy consumption database accessible by the processor. The energy consumption database includes aggregated energy consumption data associated with the facility. The system also includes a facility database accessible by the processor. The facility database includes facility data associated with the facility. The system further includes an external variable database accessible by the processor. The external variable database includes external variable data corresponding to the energy consumption data. The system also includes an analysis engine residing in the memory and executable by the processor.