153 results about "Condition assessment" patented technology

There is presented a reliable technique for measuring condition change in nonlinear data such as brain waves. The nonlinear data is filtered and discretized into windowed data sets. The system dynamics within each data set is represented by a sequence of connected phase-space points, and for each data set a distribution function is derived. New metrics are introduced that evaluate the distance between distribution functions. The metrics are properly renormalized to provide robust and sensitive relative measures of condition change. As an example, these measures can be used on EEG data, to provide timely discrimination between normal, preseizure, seizure, and post-seizure states in epileptic patients. Apparatus utilizing hardware or software to perform the method and provide an indicative output is also disclosed.

A method for determining the condition assessment and residual life span of bridge cables based on a parametric statistical model. The method includes random sampling of individual cable wires, mechanically testing the sampled wires, determining the probability of broken and cracked wires and the ultimate strength of cracked wires using fracture toughness and imputing the above data to simulate stress-strain curves for each wire in the cable, applying strain increments until reaching ultimate elongation. Assessing remaining service life of the cable by determining the rate of change of broken wires detected over a time frame, measuring the rate of change of fracture toughness over said time frame, and applying the rates of change to a time-dependent degradation prediction model.

To perform a non-destructive condition assessment of a pipe carrying a fluid, an actual value representative of the propagation velocity of an acoustic disturbance propagating between two longitudinally separated points on the pipe is determined. A corresponding predicted value for the propagation velocity is computed as a function of at least one wall thickness parameter of the pipe by using a theoretical model for the propagation of acoustic waves in the pipe that assumes said pipe has a finite wall thickness with a predetermined circumferential thickness profile. The wall thickness parameter is then computed by matching the actual value with the predicted value, for example, by substituting the actual value in a formula predicting the theoretical value.

A on-line method is provided for detecting wear and / or damage to gas turbine parts. Preferred embodiments of the invention provide a gas turbine comprising parts with smart coatings and collection and detection means to measure wear and erosion of gas turbine parts. In other preferred embodiments, smart coatings are provided comprising chemical taggants that can be collected and detected downstream, thus providing an on-line or in situ evaluation technology for wear and damage to gas turbine parts.

Techniques are described for assessing road traffic conditions in various ways based on obtained traffic-related data, such as data samples from vehicles and other mobile data sources traveling on the roads, as well as in some situations data from one or more other sources (such as physical sensors near to or embedded in the roads). The assessment of road traffic conditions based on obtained data samples may include various filtering and / or conditioning of the data samples, and various inferences and probabilistic determinations of traffic-related characteristics of interest from the data samples. In some situations, at least some of the mobile data sources are configured to frequently acquire and store data samples, and to occasionally make multiple such data samples available together for use in the road traffic condition assessment (e.g., by acquiring a data sample every minute and by transmitting a group of stored data samples every 15 minutes).

An animal condition monitor. The animal condition monitor measures diagnostic parameters from the animal and determines whether the parameters indicate that the animal is at risk of a specified condition, such as heat stroke, heat exhaustion, hypothermia, or hyperthermia. The condition assessment is considered in light of a profile containing information about the age / health of the animal. When warranted, the animal condition monitor provides notification of the condition of interest.

Methods and systems for prognostic condition assessment decision aid of a fleet of vehicles are disclosed. In one embodiment, a method includes providing a schedule of missions and maintenance of a fleet of vehicles, comprising receiving data from the fleet of vehicles for missions and maintenance activity, determining mission and maintenance requirements, processing the received data and requirements to provide an operational allocation the fleet of vehicles, determining an alternative allocation of the operational allocation the fleet of vehicles, the alternative allocation satisfying at least one operational objective for the fleet of vehicles, and generating a schedule for the alternative allocation of the fleet of vehicles.

To perform a non-destructive condition assessment of a pipe carrying a fluid, an actual value representative of the propagation velocity of an acoustic disturbance propagating between two longitudinally separated points on the pipe is determined. A corresponding predicted value for the propagation velocity is computed as a function of at least one wall thickness parameter of the pipe by using a theoretical model for the propagation of acoustic waves in the pipe that assumes said pipe has a finite wall thickness with a predetermined circumferential thickness profile. The wall thickness parameter is then computed by matching the actual value with the predicted value, for example, by substituting the actual value in a formula predicting the theoretical value.

Assessment of a respiratory condition of a subject, by acquiring a temporally varying hemodynamic waveform signal related to blood flow in a tissue; deriving from the hemodynamic waveform signal an evaluation of blood CO2; acquiring at least one more signal; and determining the medical condition based on the blood CO2 and the at least one more signal. A device for performing the assessment may include an implement disposable on the subject's skin and structured to acquire a temporally varying hemodynamic waveform signal and derive from the signal a blood CO2 value or a close approximation thereof; an oximeter disposable on the subject's skin and structured to provide an oxygen saturation value of the blood of the subject or a close approximation thereof; and an apparatus structured to evaluate the medical condition of the subject based on the blood CO2 and oxygen saturation or close approximations thereof.

A on-line method is provided for detecting wear and / or damage to gas turbine parts. Preferred embodiments of the invention provide a gas turbine comprising parts with smart coatings and collection and detection means to measure wear and erosion of gas turbine parts. In other preferred embodiments, smart coatings are provided comprising chemical taggants that can be collected and detected downstream, thus providing an on-line or in situ evaluation technology for wear and damage to gas turbine parts.

The invention discloses a sports training monitoring system. The sports training monitoring system comprises a video data collecting module, a vital sign collecting module, a motion state collecting module, a man-machine operating module, a data processing module, an action standard judging module, an instruction outputting module, a central processor, a three-dimensional model generating module and a physical state assessment module. According to the sports training monitoring system, video collecting is conducted by adopting panoramic video collecting, so that the video monitoring coverage is widened; the body and motion conditions of athletes are monitored through different sensors with Beidou modules, analogue simulation is conducted on monitored data through a three-dimensional model, and therefore a monitor can more comprehensively and accurately conduct monitoring and data analysis and assessment on the motion process; meanwhile, a physical condition assessment function, the standard action judging module and the instruction outputting module are achieved in the whole monitoring process, and therefore the training efficiency is greatly improved; in addition, three-dimensional putting of instructions can be conducted through the three-dimensional model generating module, and therefore convenience is brought to study of the athletes.

A system dynamically refreshes stale patient clinical data during a clinical workflow sequence of tasks concerning treatment ordering, patient diagnosis, or patient condition assessment and warns a clinician if patient clinical data has changed since starting a work session. A system for managing patient clinical data includes at least one repository associating sources of clinical data with data representing a form. The form incorporates clinical data derived from the sources. An interface processor automatically interrogates particular sources of clinical data associated with a particular form to identify updated clinical information of a particular patient in response to a user command to process the particular form. An update processor initiates generation of an indication to a user identifying updated clinical information of a particular patient is available prior to processing of the particular form.

A dynamic assessment system for monitoring high-voltage electrical components, which includes a computer system that is configured to receive data from a plurality of on-line sensors configured to monitor various operating parameters associated with the operation of a plurality of electrical components such as a plurality of electrical transformers. The computer system is configured to automatically and continuously correlate the data from the on-line sensors with data from various off-line databases and supervisory networks associated with monitoring the operation of the power distribution network, so as to generate dynamic operating condition assessments, including risk of failure assessments, of each of the monitored electrical components.

This disclosure relates to reducing power consumption for cellular communication based on transport block size in combination with channel condition measurements for applications with certain application characteristics. In one embodiment, a transport block size for use for uplink communication with a base station by a wireless device may be selected. The transport block size may provide more robust communication characteristics than required for current channel conditions. The transport block size may be selected based on application characteristics of an application performing the uplink communication. A transmit power for the wireless device to use for the uplink communication may be selected based on the transport block size providing more robust communication characteristics than required for the current channel conditions. In particular, transport power selection may be biased towards a reduced transmit power based on the transport block size providing more robust communication characteristics than required for the current channel conditions.

A condition assessment and end-of-life prediction system that includes a virtual condition assessment instrument and a virtual end-of-life prediction instrument. The virtual condition assessment instrument measures the condition of the equipment and includes a data capture subsystem for sampling a set of analog signals and converting them into digital signals, a model-based component to estimate disturbances and predict an expected response, a signal-based component to process output from the model-based component, a classification component to process output from the signal-based component, a fuzzy logic expert component to combine information from the classification component and the model-based component in order to assess the condition of the equipment, and a condition assessment panel to display the condition of the equipment. The a virtual end-of-life prediction instrument predicts the equipment end-of-life and includes a condition prediction end-of-life prediction component to analyze information from the virtual condition assessment instrument to predict condition and end-of life, a prediction condition and end-of-life uncertainty estimation component to estimate the uncertainty of the condition and end-of-life prediction, and an end-of-life panel for displaying the condition and end-of-life prediction and uncertainty.

Methods and systems for prognostic condition assessment decision aid of a fleet of vehicles are disclosed. In one embodiment, a method includes providing a schedule of missions and maintenance of a fleet of vehicles, comprising receiving data from the fleet of vehicles for missions and maintenance activity, determining mission and maintenance requirements, processing the received data and requirements to provide an operational allocation of the fleet of vehicles, determining an alternative allocation of the operational allocation of the fleet of vehicles, the alternative allocation satisfying at least one operational objective for the fleet of vehicles, and generating a schedule for the alternative allocation of the fleet of vehicles.

The present invention provides a taxi operation condition assessment method based on big data analysis. The method comprises taxi operation state index assessment and vehicle road network mobile service quality assessment, the taxi operation state index assessment includes vehicle operation condition assessment and taxi enterprise operation condition assessment, and the vehicle road network mobile service quality assessment includes taxi space-time availability assessment and taxi road network operation accessibility assessment. The method takes the GPS location operation data collected by a taxi vehicle device and the vehicle operation data included in the taxi passenger order as the basis and employs the big data processing means to perform assessment of the taxi operation condition and the mobile service level supplied to the passengers at the road network so as to perform evaluation of the taxi operation condition in the multi-dimensional assessment index and the visual display mode. The urban road network taxi accessibility map can provide reference for the taxi space distribution and provide data support for the taxi operation cost analysis.

A vector method for monitoring a subject's hemodynamic condition including (a) utilizing at least one, external or internal, anatomy-attached, three-axis accelerometer, collecting from the subject, during a selected cardiac cycle, related, three-orthogonal-axes accelerometer signal data, (b) following such collecting, processing collected signal data to obtain associated, signal vector, magnitude and directionality information, and (c) analyzing such obtained vector information for assessment of the subject's heart hemodynamic condition. ECG and signal time-frequency data is also collected and used in certain manners and implementations of the invention.

In one embodiment, user data is analyzed to determine whether a user may be in an impaired condition or demonstrating impairment related activity. The user data may reflect the location of the user or the behavior of the user. In response to the impairment related activity, a contact database is accessed for one or more other users. A communication session is initiated with the one or more other users. A poll of the one or more uses results in a sobriety assessment or a driving condition assessment of the potentially impaired user.

An apparatus for assessment of a fluid system includes a debris monitor to receive a first flow of a fluid, the debris monitor to determine wear debris information in the first flow of the fluid; and a fluid condition monitor to receive a second flow of the fluid, the fluid condition monitor being configured to determine fluid condition information in the second flow of the fluid.

A machine condition assessment module may be integrated with standard industrial control and communications networks to receive dynamic operating data from signal processing engines and optionally process data from controlled machinery and to operate on that data according to standard and user customized rule sets to produce an assessment of the presence and severity of specific electrical and / or mechanical faults. The output of the assessment module will be, for each of the one or more machines monitored, and for each of the one or more faults assessed, a single parameter that indicates the presence and severity of the fault. This data, in turn, may be readily communicated to an industrial controller on the network for use in effecting the control process itself.

The invention discloses a GIS partial discharge ultrasonic signal identification method which solves the problem that the accuracy and the reliability of GIS partial discharge ultrasonic detecting and diagnosing are not high. The method comprise a network learning process and a defect identification process and specifically comprises the following steps that first, a known sample of a GIS partial discharge ultrasonic signal is subjected to preprocessing, then an average amplitude value, a root-mean-square, a peak value index, kurtosis, a waveform index, a pulse index, a margin index and other discharge characteristic parameters are extracted, finally a fuzzy logic cluster neuron network is established, the GIS partial discharge ultrasonic signal to be identified is subjected to preprocessing, then the corresponding characteristic parameters are extracted, finally an established model is used for carrying out classification on all samples including samples to be identified, the fuzzy nearness of the samples to be identified and other known samples in the same type is computed, and the defect type is judged according to the magnitude of the nearness. The method has significance in GIS insulation condition assessment and reasonable overhaul strategy generating.

The invention provides a GIS (Gas Insulated Switching gear) equipment condition assessment method and system. The method comprises the steps: receiving a condition assessment instruction, and obtaining related data from a grid production management system and a GIS partial discharge on-line monitoring system according to the assessment instruction; quantizing, classifying and filing the obtained data to obtain basic data, insulation performance data, operating mechanism data, attachment data, running record data and accident defect maintenance data, and storing all the data; assessing the running performance of GIS equipment at present and within some time to come according to the stored various kinds of data; and determining the probability of failure of the GIS equipment at present and within some time to come according to the running performance and the accident defect maintenance data. The related data is conveniently and fast obtained in real time, the GIS equipment condition of a GIS is comprehensively and objectively assessed based on the obtained data, and the assessment efficiency is high.

The present invention relates to automatic detection and measurement of railway track assets for use in their condition assessment and estimation of risks to tracks, trains and personnel. The system uses forward-facing, upward-facing, downward-facing or side-facing 2D and 3D imaging sensors for automated asset detection, asset condition estimation, vegetation management, gap measurement, overheadline and tunnel checks, and more. Raw data is presented to a processor that performs real-time identification and evaluation of orbital assets by using a combination of sensor data. Asset condition and rail risk assessment data may be presented to the onboard operator or sent to a remote location using wireless transmission.

To perform a non-destructive condition assessment of a pipe carrying a fluid, an actual value representative of the propagation velocity of an acoustic disturbance propagating between two longitudinally separated points on the pipe is determined. A corresponding predicted value for the propagation velocity is computed as a function of at least one wall thickness parameter of the pipe by using a theoretical model for the propagation of acoustic waves in the pipe that assumes said pipe has a finite wall thickness with a predetermined circumferential thickness profile. The wall thickness parameter is then computed by matching the actual value with the predicted value, for example, by substituting the actual value in a formula predicting the theoretical value.

The invention provides a judging method and a judging device for an interference source in a wireless local area network (WLAN). The method includes the following steps: forming a measuring report by each access point (AP) through scanning of an information channel, and structuring an information channel quality assessment form according to the measuring report, wherein the information channel quality assessment form is used for reflecting an interference condition caused by an environment factor to the AP; according to the information channel quality assessment form, establishing an interference condition assessment form, wherein the interference condition assessment form is used for reflecting an interference condition caused by the AP to a neighbor AP; and according to the neighbor condition assessment form, obtaining an interference source list of the whole network. By the adoption of the method and the device, a source causing interference to a system is found, so that a basis and an operation object are provided for a follow-up anti-interference operation, and therefore interference process to the network is finer and more precise, and the anti-interference operation which is repeated, invalid, and conflicting is avoided. The method and the device can be applied to an existing 802.11 a / b / g / n and later evolution versions, so that the whole network interference process in the method of planning as a whole can be achieved.

Disclosed are a detection method and a device for remote full-characteristic analysis on a cable to be tested; the method and the device enable multi-loop full-characteristic analysis on the cable to be tested through voltage, current, amplitude, direction, phase signals and the like; the method and the device have the advantages that the multiple signals can be collected at the same time; the homologous homo-body transmission signals and the homologous allogeneic induction interference signals can be highly accurately identified in the case of no power-off; and the device is provided with the working condition assessment uniqueness to identify the cable to be tested. Fixed-frequency audio signals are loaded to pipelines through a transmitting device; the whole signals of all the cables in the block are collected at the detection end in one time; a receiving device captures the signals and then filters and amplifies the signals; the signals equivalent to the transmitting frequency are compared with the reference signal, and then go through digital processing, comparison and calculation to obtain the current values of each group of signals, the resistance values of each loop, the phase angles of each acquisition signal, and the phase offset degrees between the acquisition signals and the reference signal; and the cable which has the same characteristics with the known reference signal is the required cable.

A non-destructive testing method to evaluate the structural integrity of pre-stressed concrete railroad ties in track to identify deterioration and the eventual loss of bond between the reinforcing wires and the surrounding concrete. The application of an impact echo system to the end of each railroad tie will identify ties that have deteriorated to the extent that structural cracks have formed. The method includes employing a tool having a plurality of transducers and a single impinger to impart sound waves through a top surface of the railroad tie and to receive and evaluate the echoes of the sound waves to determine if the tie is structurally sound or structurally unsound.