3079 results about "Condition monitoring" patented technology

A system using passive infrared imaging of the face and other body parts of an operator to obtain observables by automatically extracting features from a sequence of images, analyzing the extracted features, and then assessing the results for indicators of performance of a task by the operator in order to provide early warning of potential cognitive or motor impairment and thereby facilitate risk reduction and quality maintenance. The infrared condition monitoring system (IR-CMS) serves to a) assess cognitive and/or physical readiness to perform a particular task; b) provide condition assessment feedback to the subject and his appropriate supervisors; c) activate measures to increase short-term alertness and other readiness factors; d) limit potential risks by restricting the subject's access, responsibility, or authority; and e) facilitate rapid medical treatment, evacuation, quarantine, re-training, or counseling as appropriate. The same condition monitoring and assessment system can also be used during training and simulator exercises to evaluate personnel for assignment.

A system for condition monitoring and fault diagnosis includes a data collection function that acquires time histories of selected variables for one or more of the components, a pre-processing function that calculates specified characteristics of the time histories, an analysis function for evaluating the characteristics to produce one or more hypotheses of a condition of the one or more components, and a reasoning function for determining the condition of the one or more components from the one or more hypotheses.

A physical and mental health status monitor, analyze and follow up clothing system. Whose purpose is to monitor the user's body fat distribution, muscular activity and position changes to diagnose health status. Regularly giving suggestions to the user to achieve proper exercise and posture to reduce body fat and prevent muscular atrophy. While correcting the user's life style to promote better health, this system also works to reduce mental and emotional stress. Providing better healthcare and reducing the chance of disease. This system includes sensors, a close range monitoring system and long range monitoring stations, through the sensors it collects data for the monitoring system and monitoring stations to observe, analyze, diagnose and follow up on the user's physical and mental state. This system also allows the user and the long range monitoring stations to communicate with each other through the close range monitoring system.

A real-time body status monitoring system (RBMS) is presented in this invention. A wearable monitoring apparatus (WMA) worn by users consists of one or a few sensor nodes and a computing module. Sensor nodes communicate with the computing module via either wired or wireless protocols. RBMS incorporates a monitoring center that connects and serves many WMAs. Together with the sensors and context-aware information fusion and analysis, the system in the invention goes beyond sampling rare events that may be of profound diagnostic, prognostic, or therapeutic importance. It measures the physiological responses to therapeutic interventions during daily activities, which constitute direct and practical health indicators for the patient.

A pharmacological management system has sensors, a pharmacological status monitor and a drug administrator. The sensors attach to the patient so as to generate corresponding sensor signals. The pharmacological status monitor is responsive to the sensor signals so as to generate an output indicative of the drug-induced effects of the pharmacological agent on the patient. Further, the monitor output is fed-back to the drug administrator so as to regulate administration of the agent for a desired effect.

A fluid status monitoring system for use in implantable cardiac stimulation or monitoring devices is provided for monitoring changes in thoracic fluid content. A fluid status monitor includes excitation pulse generating and control circuitry, and voltage and current measurement and control circuitry for performing a series of cardiac-gated, intra-thoracic impedance measurements. The cardiac-gated measurements are filtered or time-averaged to provide a fluid status impedance value, with respiratory noise removed. Based on comparative analysis of the fluid status impedance value, a clinically relevant trend in fluid status may be tentatively diagnosed and a fluid status response provided. Cross-check intra-thoracic impedance measurements performed using the same or a different excitation pathway and a different measurement pathway than the primary intra-thoracic impedance measurement configuration may be used to verify a tentative diagnosis.

The present invention relates to a novel non-invasive perfusion/resistance status monitor system and methods of using the same, and more specifically, a vascular perfusion status monitor system receiving and processing signals from at least two pulse oximeter probes, where each of the at least two pulse oximeter probes are situated at advantageously different locations in a patient. Novel pulse oximeter probes are configured to be placed, respectively, across the lip or cheek, across the septum or nares of the nose, and on the tongue. These probes are fabricated to provide signals to estimate arterial oxygen saturation. Conventional oximeter probes also can be configured to function according to the novel methods of determining differences in peripheral blood flow and/or resistance described herein.

Reversible electrochemical mirror (REM) devices typically comprise a conductive oxide mirror electrode that is substantially transparent to radiation of some wavelengths, a counter electrode that may also be substantially transparent, and an electrolyte that contains ions of an electrodepositable metal. A voltage applied between the two electrodes causes electrodeposition of a mirror deposit on the mirror electrode and dissolution of the mirror deposit on the counter electrode, and these processes are reversed when the polarity of the applied voltage is changed. Such REM devices provide precise control over the reflection and transmission of radiation and can be used for a variety of applications, including smart windows and automatically adjusting automotive mirrors. According to the present invention, measurements of the sheet resistance of the mirror electrode in a REM device are correlated with the thickness of electrodeposited mirror metal and can be used to monitor the reflectance of the device. Sheet resistance measurements can be performed while the mirror state of the device is being switched if adequate isolation between the measurement and switching circuits is provided. This can be accomplished by use of external resistors or more sophisticated circuitry, or by taking advantage of the relatively high sheet resistance of the mirror electrode itself. Monitoring the reflectance of REM devices according to this invention provides significant cost and performance advantages.

The process state of a chamber after a maintenance procedure can be monitored in-situ in order to ensure that the chamber is ready for processing, while minimizing waste and downtime due to aftereffects of the maintenance procedure. The composition of a bulk plasma in a process chamber can be analyzed using an analytical tool to capture the emission spectrum of the plasma. The spectrum can be analyzed to generate a model of the current chamber conditions, which can be compared to a model of ideal chamber conditions using a statistical analysis approach such as multivariate primary component analysis. If the current and ideal models match to within a set confidence level, the chamber conditions are acceptable for processing devices, and any processing of cycling workpieces or other plasma-cleansing processes can be stopped.

A system and a method of long-term condition monitoring of structures are based on use of autonomous sensing modules, centers for storing and processing data and software for data analysis. An autonomous sensing module contains a set of sensors for measurements of parameters related to the condition of a monitored structure, a non-volatile memory, a wireless data transfer unit, a controller, a clock circuit, a battery, an energy harvesting device and a power management unit. The autonomous sensing module provides a very long-term (40 years or more) functionality and reliability due to both use of at least near hermetic packages for the controller, the non-volatile memory, the battery, the clock circuit and the power management unit and choosing the duration of periods when the sensing module works in active mode in such a way that the average energy consumed by the autonomous sensing module is fully compensated by the average energy harvested by the energy harvesting device.

An improved empirical model-based surveillance or control system for monitoring or controlling a process or machine provides adaptation of the empirical model in response to new operational states that are deemed normal or non-exceptional for the process or machine. An adaptation decision module differentiates process or sensor upset requiring alerts from new operational states not yet modeled. A retraining module updates the empirical model to incorporate the new states, and a pruning technique optionally maintains the empirical model by removing older states in favor of the added new states recognized by the model.

A method to retrieve and display technical data for an industrial device supervised by a computer program for control, configuration or condition monitoring in an industrial or commercial plant. The method can use a substantially static and easily visible large sized display member to provide a graphical user interface for retrieving data about, and/or controlling, one or more industrial devices. A computing device or mobile computing device send a copy of its graphical user interface to the large display for ease of information retrieval and access.

A system and method for monitoring a condition of a monitored system. Estimates of monitored parameters from a model of the system provide residual values that can be analyzed using a sequential probability ratio test (“SPRT”). The invention employs empirically derived distributions in the SPRT to provide more accurate and sensitive alerts of impending faults, breakdowns and process deviations. The distributions can be generated from piecewise continuous approximation or spline functions based on the actual distribution of residual data to provide improved computational performance. The distributions can be provided before monitoring, or can be updated and determined during monitoring in an adaptive fashion.

Embodiments include a system providing sensor feedback for property condition monitoring, including: a plurality of sensors disposed in a roof structure of a property; the plurality of sensors providing output indicative of ice formation associated with the roof structure; a hub device that receives output from the plurality of sensors, the hub device detecting at least one sensor output indicative of ice formation and providing a notification regarding the ice formation; a computing device of an insurance carrier that receives the notification, the computing device updating a status of the property in an insurance carrier database in response to the notification; and a communication link between the plurality of sensors, the hub device and the computing device of an insurance carrier. Other aspects are described and claimed.

The invention relates to a GIS device state intelligent monitoring system and method based on the edge computing technology. The system includes a state sensor terminal, a data node device and an intelligent monitoring center, wherein the state sensor terminal is used for gathering collected state data to the data node device to perform power IoT edge calculation and is connected with the intelligent monitoring center through the transmission network, the condition monitoring sensor terminal is used for acquiring related state parameters in real time and receiving and performing limited edge calculation tasks, the data node device is used for collecting the data and receiving and performing the edge calculation tasks, and the intelligent monitoring center is used for performing equipment IoT management, intelligent evaluation analysis and advanced application for a GIS device state and configuring an optimized edge calculation algorithm model and an SG-CIM data model to the data node device. The system is advantaged in that a circuit breaker GIS equipment Internet of Things system of a substation is constructed, and the automation, informationization and intelligence level of equipment state evaluation and diagnosis can be improved.

A patient's heart condition is monitored by a patient-location based unit. The patient-location based unit includes a receptacle for receiving a cartridge that includes heart condition monitoring information. The patient-location based unit receives information from the patient, monitors the patient's heart condition, and communicates with the patient regarding the patient's heart condition. The patient-location based unit also communicates with a central server. Both the patient-location based unit and central server communicate with a health care professional computer by transferring, to the health care professional computer, information related to the monitored patient's heart condition.

The invention discloses a device for monitoring the state of a power transmission line tower-line system, which fully utilizes the advantages of corrosion resistance, wide operation temperature range, anti-electromagnetic interference, passivity, long measuring distance, reliable operation and long service life and the like of optical fiber sensors to configure the optical fiber sensors on a transmission conductor and a tower in a quasi-distributed structure for detecting the temperature, the strain and the acceleration of the transmission conductor and the multipoint stress variation on the tower which are transmitted to an optical modulator demodulator for demodulating and are sent to a computer analyzing and processing system for calculating to obtain the icing quality, the waving amplitude, the breeze vibration amplitude and frequency and the sag of the transmission conductor, and the inclination angle of the tower, thus realizing the simultaneous monitoring on the icing, the waving, the breeze vibration and the sag of the transmission conductor, and the inclination angle state of the tower, and being capable of finishing long-time reliable operation under the on-site severe environment conditions.

A system for empirically diagnosing a condition of a monitored system. Estimates of monitored parameters from a model of the system provide residual values that can be analyzed for failure mode signature recognition. Residual values can also be tested for alert (non-zero) conditions, and patterns of alerts thus generated are analyzed for failure mode signature patterns. The system employs a similarity operator for signature recognition and also for parameter estimation. Failure modes are empirically determined, and precursor data is automatically analyzed to determine differentiable signatures for failure modes.

Data collection and display representative of at least one characteristic relevant to a viability product contained in a sealed package, via monitoring at least one characteristic associated with a state condition of said product. A viability state condition may be related to probability of degradation of the product. The monitoring may include analyzing data associated with at least one said characteristic and, based on said analyzing, determining at least one critical date of said product which may be displayed. When current state of viability can be predicted, freezing said display with said signal representative of an expiration or maturity state condition, or dynamically altering a display accordingly. Options for displaying a history of said characteristic may be provided.

The invention relates to the technical field of equipment fault monitoring, and particularly discloses an equipment fault warning and state monitoring method. The equipment fault warning and state monitoring method is characterized by including two processes of model building and model operation; the process of model building includes the steps of acquiring training data, performing data preprocessing operation on the training data, then adopting a nonparametric learning algorithm to select a memory matrix, training a residual generator and acquiring a residual threshold of each parameter; the process of model operation includes the steps of acquiring real-time data, performing data preprocessing operation on the real-time data, then calculating all parameter residuals of the real-time data, analyzing the residuals to judge whether the equipment state is normal or not, and further positioning fault causes. The method has the advantages of data-driven method based universality, robustness and high adaptive capability, the shortcoming that warning results are difficult to analyze and explain is avoided, and additionally accuracy and efficiency of fault warning are both improved due to introduction of the nonparametric learning algorithm.

In accordance with one embodiment of the present invention, a circuit provides power stability functions for a microcontroller, during startup and normal operations performing power on reset functions and an array of power stability functions. The power on reset functions hold the microcontroller in a safe reset condition, reinforce the POR hold, and force its switch mode pump to drive up voltage provided to its common supply source. The power stability functions constitute a power on reset function, a power supply health, e.g., power state condition monitoring function, a control function for dynamically controlling the common supply source, and auxiliary functions, which may be protective of a flash memory. The power on reset function operates at a fixed and/or programmably changeable voltage levels. In one embodiment, the POR circuit is interconnected with a processor through a bus, enabling programmatic processor control of microcontroller power through interaction with the POR circuitry.

The invention relates to the technical field of running state monitoring of wind generating sets, in particular to a system and a method for evaluating the running state of a wind generating set. The evaluating system mainly comprises a monitoring module, a quantifying module, a weight confirmation module and an evaluating module; data monitored in real time by a wind generating set control system are utilized as the input of the evaluating system of the real-time running state; then the data are quantified to obtain a real time deterioration degree of each evaluating index; finally, when the deterioration degree of a single item evaluating index and a permissible value have greater deviation, the serious evaluating result is directly given, otherwise, the weight module and the evaluating module are used for calculating an evaluating result of the running state of the generating set, and the evaluating result is used as the output of the system. The invention provides scientific basis for state maintenance of the wind generating set, and provides technological supports for ensuring high-efficient, reliable and safe running of the wind generating set, evaluating and forecasting the operational reliability of an electric power system of a windy electric field, and has important engineering application value.

A welding condition monitoring device for monitoring the welding state of a welding work portion by taking an image thereof by an image sensor having a wide dynamic range and capable of taking an image covering a very bright welding portion and relatively dark portion. The monitoring device selectively emphasizes the outputs of the image sensor for any of luminance areas of the image taken by the image sensor using a sensor output characteristic table and can provide an image clearly showing both the very bright welding portion and the dark bead portion with a sufficient contrast allowing an observer to reliably recognize the objects in the image.

A method for monitoring a wind turbine is provided. The method includes defining at least one subsystem of the wind turbine and providing a simulation model for the at least one subsystem. During normal operation of the wind turbine at least an input parameter of the at least one subsystem is determined A behavior of the at least one subsystem is simulated using the at least one input parameter as an input of the simulation model. Based on the simulated behavior, it is determined, if the at least one subsystem operates within a given specification.

The invention relates to an adaptive extraction and diagnosis method for degree features of a mechanical fault through a stack-type sparse automatic coding depth neural network, and belongs to the technical field of mechanical equipment state monitoring and reliability evaluation. The method aims at a problem of intelligent diagnosis of the degree of the mechanical fault, and comprises the steps: carrying out the stacking of sparse automatic coding, adding a classification layer, and constructing the stack-type sparse automatic coding depth neural network which integrates the adaptive learning and extraction of the degree features of the fault and fault recognition; employing the advantage that the sparse automatic coding can automatically learn the internal features of data, and adding noise coding to be integrated in the sparse automatic coding for improving the robustness of feature learning; carrying out the layer-by-layer no-supervision adaptive learning and supervision fine tuning of the original input complex data through multilayer sparse automatic coding, completing the automatic extraction and expression of the degree features of the mechanical fault and achieving the intelligent diagnosis of the degree of the fault. The method is used for the diagnosis of the degree of faults of rolling bearings under different work conditions, and obtains a good effect of feature extraction and diagnosis.

A container for locally determining a container state using a state device. The state device detects unexpected events by comparing expected event information with actual event information related to a container condition. The container condition includes, for example, environmental conditions, logistical or location conditions, and physical or security conditions. Thus, the container is able to intelligently monitor its state and raise an alert without intervention from a central system. The container can also be programmed and reprogrammed with updated logic, states, and/or expected event information. A sensor in the state device gathers input information for comparison to expected event information. A communication port in the state device receives event information. For example, a GPS (Global Positioning System) receiver can determine a current location for comparison to an expected location at the current time. In another example, an RFID (Radio Frequency Identification) receiver and transmitter automatically uploads state information to a central system.

Disclosed is an apparatus for estimating a downhole property of interest. The apparatus includes a carrier configured to be conveyed in a borehole penetrating an earth formation and carry a releasable sensor. The sensor is configured to be released by the carrier into drilling fluid and to sense the property. The sensor includes a memory to store sensed property data. The data can be downloaded from the memory wirelessly with the sensor in the drilling fluid or by retrieving the sensor from the drilling fluid.

A railroad track inspection system has multiple track scanning sensors, a data store, and a scan data processor. The scan data processor provides automatic analysis of the track scan data to detect track components within the scan data from a predetermined list of component types according to features identified in said scan data. The track scanning sensors, data store and scan data processor are attached to a common support structure for mounting the system to a railway vehicle in use. An inertia sensor and common master clock are used to make corrections to the output of the track scanning sensors to accommodate dynamic forces in use. The inspection system may be provided in a single housing for mounting to a conventional passenger/freight rail vehicles and may operate automatically in an unattended mode. The location of track components and/or defects may be logged.

In a vehicle emergency evacuation device executing an automatic vehicle stop control based on a command of the driver through a switch or a command input device in a driver's emergency, there is provided a switch or a command input device which is easy to operate when a driver's body condition is abnormal or deteriorates but does not erroneously receive a command input when the driver's body condition is normal. The inventive emergency evacuation device comprises a driver's condition monitoring portions, such as a driver camera; a driver's command input portion that has a receptor put on a position accessible for the driver and receiving a command input indicating a driver's intention, and outputs a command of an execution start of an automatic vehicle stop control based on the command input; and an automatic vehicle stop control portion executes the automatic vehicle stop control in response to the command from a driver's command input portion, where, only when an abnormality in a driver's body condition is judged based on the information acquired by the driver's condition monitoring portion, such as a driver's image acquired with the driver camera, the command input is acceptable to the receptor.

The present invention discloses an implementation method of a long-distance state monitor and failure diagnosis system of a novel numerical control machine, and belongs to the numerical control machine, information processing, network technology, industrial control technology fields, and relates to the digital control technology, long-distance telemetry tracking and command, failure diagnosis, network communication, automatic control and signal processing, and mainly makes the use of the modern long-distance telemetry tracking and command technology and the failure diagnosis analysis technology, and combines the characteristics of the state monitor and failure diagnosis of the numerical control machine, and builds the method of the state monitor and failure diagnosis system of the novel numerical control machine based on the wired and the wireless internet.