2192 results about "Abnormality detection" patented technology

An ultrasonic surgical system includes a handpiece having an ultrasonic vibrator; and a probe connected to the ultrasonic vibrator. The handpiece includes a first storage unit that stores first determination criterion information being a criterion of whether an abnormality occurs in the ultrasonic surgical system. The probe includes a second storage unit that stores second determination criterion information as a criterion of whether an abnormality occurs in the ultrasonic surgical system. The ultrasonic surgical system also includes a control unit that stops driving the ultrasonic vibrator based on the first and second determination criterion information.

A system for the detection of abnormalities in a medical image of a subject. The system includes an examination bundle, a learning engine, and a detecting engine. The examination bundle includes at least one medical image of the subject from a first modality and at least one medical image of the subject from a second modality. The learning engine is employed for determining the characteristics of abnormalities within the at least one medical image from the first modality and the at least one medical image from the second modality. The detecting engine is employed for detecting abnormalities within at least one of the medical images comprising the examination bundle.

A system for heart performance characterization and abnormality detection includes an interface for receiving sampled data representing an electrical signal indicating electrical activity of a patient heart over multiple heart beat cycles. A signal processor automatically, decomposes the received sampled data to multiple different subcomponent signals in the time domain. The signal processor associates individual decomposed subcomponents with corresponding different cardiac rotors and determined characteristics of the subcomponents indicating relative significance of the rotors in a cardiac atrial condition. A reproduction device provides data indicating the subcomponent characteristics indicating relative significance of the rotors in a cardiac atrial condition.

A protection operation control part switches a gate signal interruption switch for protection of power elements to a gate signal interruption side, and invalidates a switching signal from a hybrid control unit to place transistors into a nonconducting operation. A motor current signal from a motor current detector is converted into a current value by a motor current calculation unit, and is inputted to a short-circuit abnormality detection unit through a motor control arithmetic part, and a short-circuit abnormality is detected. At a time of detecting the short-circuit abnormality, an internal combustion engine operation instruction unit gives an instruction to an internal combustion engine control unit so as to limit output of an internal combustion engine, and releases a conduction state of an abnormal motor current.

A power converter includes an inverter unit that includes a plurality of semiconductor switching elements constituting upper and lower arms and converts DC power into AC power; a gate driving unit that outputs, to the inverter unit, a gate signal used to drive gates of the plurality of semiconductor switching elements; a driving control unit that supplies the gate driving unit with a switching control signal used for the gate driving unit to output the gate signal; a first abnormality detection unit that performs over voltage detection of the DC power and over current detection of the AC power and temperature detection of the upper and lower arms; and a second abnormality detection unit that detects abnormality of the plurality of semiconductor switching elements of the upper arm and lower arms, wherein the driving control unit includes a first protection circuit and a second protection circuit.

A surveillance system having at least one primary video camera for translating real images of a zone into electronic video signals at a first level of resolution. The system includes means for sampling movements of an individual or individuals located within the zone from the video signal output from at least one video camera. Video signals of sampled movements of the individual is electronically compared with known characteristics of movements which are indicative of individuals having a criminal intent. The level of criminal intent of the individual or individuals is then determined and an appropriate alarm signal is produced.

Embodiments disclosed herein can significantly optimize a root cause analysis and substantially reduce the overall time needed to isolate the root cause or causes of service degradation in an IT environment. By building on the ability of an abnormality detection algorithm to correlate an alarm with one or more events, embodiments disclosed herein can apply data correlation to data points collected within a specified time window by data metrics involved in the generation of the alarm and the event(s). The level of correlation between the primary metric and the probable cause metrics may be adjusted using the ratio between theoretical data points and actual points. The final Root Cause Analysis score may be modified depending upon the adjusted correlation value and presented for user review through a user interface.

The invention discloses a network attack abnormality detection method, and relates to the technical field of information security. The technical point of the network attack abnormality detection method disclosed by the invention is as follows: a step 1, deploying a traffic data collection device at a network traffic aggregation node; a step 2, extracting a network behavior feature value from the collected traffic data; a step 3, carrying out dimensionality reduction and standardization on the network behavior feature value; a step 4, determining normal network behavior feature values, and establishing a normal behavior model based on a set of the normal network behavior feature values; and a step 5, detecting other network behavior feature values based on the normal behavior model, and judging whether abnormal network behaviors occur; and when detecting abnormal network behaviors, updating the normal behavior model according to a new normal network behavior feature value.

Disclosed is a BSD system for vehicle provided with a blind spot detection module which includes obstacle in blind spot detection means for detecting an obstacle existing in a blind spot around the rear side of a self vehicle and an obstacle indicator disposed on a side mirror of the self vehicle and adapted to display at least one of information for the existence of an obstacle in the blind spot, for a distance between the obstacle and the self vehicle, and for a relative speed of the obstacle to the self vehicle, the blind-spot detection system for vehicle. This system is provided with means for detecting that the blind spot detection module is in an abnormal operation state and means disposed on the side mirror having the obstacle indicator and adapted to visually indicate an abnormality of the blind spot detection module detected by the abnormality detection means.

A device and method for heart performance characterization and abnormality detection is disclosed herein. The device and method analyze and characterize cardiac electrophysiological signals which help in the diagnosis of myocardial ischemia in advance of a heart attack.

In a control apparatus for a motor, an over-current protection circuit detects an abnormality in a motor current forcibly turns off a MOSFET. The over-current protection circuit has a timer function and a time switching function. In the timer operation, the over-current protection circuit stops an abnormality detection signal for an ON time period before producing the signal for an OFF time period when a current flowing through the motor exceeds a predetermined threshold value. The time switching function is for controlling to lengthen the OFF time period to a relatively larger value in comparison with the ON time period.

An automatic transmission power control circuit which can detect an abnormality in a transmission power without a comparing circuit which compares a detected voltage with reference voltages. A detector detects a voltage corresponding to the transmission power and outputs a detected voltage. A comparator compares the detected voltage with a reference voltage so that the transmission power is controlled based on an output of the comparator. A transmission power abnormality detecting circuit includes a counter which cumulates the output of the comparator. The transmission power abnormality detecting circuit outputs a transmission power abnormality detection signal when an output of the counter is a value which is out of a normal range when the automatic power transmission control circuit is normally functioning.

Model data is generated from performance information sorted by day of the week, time period, and process status by a performance information analysis section and a process status analysis section. An abnormality determination section detects abnormality using appropriate model data. What the graph of an expected status is like, how much the graph of the current status that has been determined abnormal differs from the graph of the expected status, and how much the current status is like the expected status are displayed allowing a system manager to observe detailed information about abnormality determination.

The present invention is directed to a method and system for use in a computing environment to monitor parameters and detect abnormalities. A monitoring system for monitoring a process may include a signature creation module for creating a signature representative of the process, a signature updating module for continuously updating the created signature, and an abnormality detection module for detecting abnormalities based upon deviations from the updated signature. The system may perform a method for detecting abnormalities occurring during a process based upon the continuously updated signature representative of the process. The method may include continuously monitoring a system parameter and computing a normal range of values for the system parameter based on the continuously updated signature. The method may additionally include determining if the monitored system parameter is within the normal range and indicating existence of an abnormality if the monitored system parameter is outside of the normal range.

A system and method for use in data analysis are provided. The system comprises a data processing utility configured to receive and process input data, comprising: plurality of neural network modules capable for operating in a training mode and in a data processing mode in accordance with the training; a network training utility configured for operating the neural network modules in the training mode utilizing selected set of training data pieces for sequentially training of the neural network modules in a cascade order to reduce an error value with respect to the selected set of the training data pieces for each successive neural network module in the cascade; and an abnormality detection utility configured for sequentially operating said neural network modules for processing input data, and classifying said input data as abnormal upon identifying that all the neural network modules provide error values being above corresponding abnormality detection thresholds.

A reducing agent injection device is equipped with a storage tank that houses a reducing agent, a pump that pressure-feeds the reducing agent, a reducing agent injection valve that injects the reducing agent pressure-fed by the pump into the inside of an exhaust pipe of an internal combustion engine, a supply path that interconnects the pump and the reducing agent injection valve, and a pressure sensor that is disposed in the supply path. The reducing agent injection device is configured such that it can suck, into the inside of the supply path, a gas inside the exhaust pipe via an injection hole in the reducing agent injection valve by subjecting the inside of the supply path to depressurization processing. An abnormality detection device detects clogging of the reducing agent injection valve in the reducing agent injection device and includes a clogging determination component. The clogging determination component uses a pressure value detected by the pressure sensor after the start of the depressurization processing to determine whether or not clogging is occurring in the reducing agent injection valve.

The inkjet recording apparatus includes: an abnormal nozzle detective waveform signal generating device which generates a drive signal having an abnormal nozzle detective waveform including a waveform that is different from a recording waveform and applied to pressure generating elements when performing ejection for abnormality detection to detect an abnormal nozzle among nozzles; an abnormal nozzle detective device which identifies the abnormal nozzle showing an ejection abnormality from results of the ejection for abnormality detection; a correction control device which corrects image data in such a manner that ejection is stopped from the identified abnormal nozzle and a desired image is recorded by the nozzles other than the abnormal nozzle; and a recording ejection control device which performs image recording by controlling ejection from the nozzles other than the abnormal nozzle in accordance with the image data that has been corrected by the correction control device.

The invention provides a statistical method for the high-density crowd flow, which comprises the following steps: selecting a supervision region image from video images which supervise mobile crowd in real time; converting a colorful supervision region image into a gray level video image; comparing the absolute difference of pixels on corresponding positions among three adjacent frames in an input gray level video image sequence; carrying out thresholding to an obtained detection result to obtain a binarization image so as to extract the moving crowd in the image; the current supervision region image is subjected to abnormality detection; setting a region of interest, and collecting pixels from the region of interest according to the binarization image; and according to the correspondenceof a pixel number and a number, calculating the total number passing through the supervision region within unit time so as to calculate the crowd flow in real time. According to the statistical method, the high-density migrant crowd advancing to one direction can be subjected to flow statistics under the complex background.

A reducing agent injection valve abnormality detection device for detecting clogging of a reducing agent injection valve in a reducing agent injection device has a pressure detection component that detects the pressure inside a supply path based on a sensor value of a pressure sensor, a pump control component that fixes the output of a pump in a state where the pressure inside the supply path has become a value in a predetermined range, a reducing agent injection valve control component that opens the valve for a predetermined amount of time in a state where the output of the pump has been fixed, and a clogging determination component that determines the extent of clogging of the reducing agent injection valve by comparing, with plural threshold values, the pressure, or a pressure drop quantity, inside the supply path when the valve has been opened for the predetermined amount of time.

A motor controller is provided. This motor controller comprises, a synchronous motor, a feed back detector which is mounted on the synchronous motor and detects the position and velocity of the rotor of the synchronous motor, magnetic pole position detection means for detecting an magnetic pole position of the rotor of the synchronous motor, inverter means for controlling an electric power to be supplied to the synchronous motor according to the magnetic pole position detected by the magnetic pole position detection means, magnetic pole position estimation means for estimating the magnetic pole position of the rotor of the synchronous motor from the induced voltage of the stator windings of the synchronous motor, and magnetic pole position abnormality detection means for detecting the abnormality of the feed back detector by always comparing the magnetic pole position detected by the magnetic pole position detection means and the estimated magnetic pole position estimated by the magnetic pole position estimation means.

A battery pack is provided which includes: a battery set having a plurality of secondary-battery cells connected in series and in parallel; and a battery-abnormality detection circuit. The battery-abnormality detection circuit controls a battery-set circuit separation switch, so as to detect an abnormality in each secondary-battery cell based on a change in the voltage of each cell when parallel-connection separation switches are turned off, and if detecting an abnormal secondary-battery cell, so as to separate the series module including this cell from a battery-set body.

A mechanism is provided for effectively detecting an abnormality occurring in a control system and isolating the control system in which abnormality is acknowledged. The mechanism receives, from one or more control systems in the plurality of control systems, respective abnormality notifications for respective counter control systems to be monitored by the plurality of control systems. The mechanism adds up abnormality notifications transmitted from respective monitoring sections of the plurality of control systems so as to evaluate the reputation of a control system suspected to have an abnormality. The mechanism causes a protected area for operating the control system suspected to have an abnormality to restrict outbound traffic from at least the inside of the protected area, when an indication is identified that the control system is abnormal according to criteria from a result of the evaluation.

A battery pack is provided which includes: a battery set having a plurality of secondary-battery cells connected in series and in parallel; and a battery-abnormality detection circuit. The battery-abnormality detection circuit controls a battery-set circuit separation switch, so as to detect an abnormality in each secondary-battery cell based on a change in the voltage of each cell when parallel-connection separation switches are turned off, and if detecting an abnormal secondary-battery cell, so as to separate the series module including this cell from a battery-set body.

The invention discloses an insulating detection device for a direct-current power supply, which comprises an insulating detection circuit, an earthing abnormality detection circuit and a voltage adopting circuit, wherein the insulating detection circuit comprises a first detection branch circuit, a second detection branch circuit and a first earth wire K1; the earthing abnormality detection circuit comprises a third detection resistor R3, a fourth detection resistor R4, a third switch S3 and a second earth wire K2; and the voltage sample circuit is used for measuring voltage of two ends of the third detection resistor R3 or the fourth detection resistor R4. The invention also discloses an earthing abnormality detection method and an insulating detection method adopting the insulating detection device for the direct-current power supply. By adopting the device and method disclosed by the invention, no matter whether the signal earth of the insulating detection device for the direct-current power supply in a suspension state or a fixed potential state, the abnormal condition of the earth wire can be accurately detected; and furthermore, a unilateral branch circuit insulating detection method is provided, so that the insulating detection accuracy is improved and the polling time is shortened.

Provided is a secondary battery cell capable of reliably preventing an integrated circuit provided to the secondary battery cell from being removed from the secondary battery cell.A secondary battery cell (20) includes an integrated circuit (IC chip) (50) that stores identification information (for example, identification number (ID number) given to the integrated circuit itself). The integrated circuit (50) includes a wiring abnormality detection circuit. When the integrated circuit (50) is removed from the secondary battery cell (20), the wiring abnormality detection circuit detects a wiring abnormality.

The invention discloses a railway fastener abnormality detection system based on monocular vision and laser speckles. The railway fastener abnormality detection system is used for detecting whether fasteners are abnormal or not and comprises laser speckle projectors, area array cameras, a wheel encoder, an RFID detector and an industrial personal computer, wherein the laser speckle projectors andthe area array cameras are arranged above a bottom sleeper of a train body, the laser speckle projectors are positioned right above the fasteners and project laser speckles towards fastener areas perpendicularly, the wheel encoder is fixed on a rotating shaft of a wheel and connected with the area array cameras, the RFID detector is fixed below the train body, and the industrial personnel computerpositioned in a carriage is connected with the area array cameras, the wheel encoder and the RFID detector. The railway fastener abnormality detection system has the advantages that with mottled grains on the surfaces of the fasteners increased through the laser speckle projectors, image block matching precision can be improved and the three-dimensional topography of the fasteners is constructedaccurately, so that various abnormalities of different types of fasteners can be detected effectively.

The invention discloses an automatic gesture recognizing method and system based on the wireless network signal transmission technology. The method comprises the following steps that firstly, a wireless receiving end receives a wireless signal from a wireless transmitting end and assesses channel state information; the changing abnormality of the channel state information is recognized through an abnormality detection algorithm; the gesture action is recognized based on an SVM algorithm capable of distinguishing a plurality of target action types and with the mode that the human body gesture action causes the channel state information change as the target action type, and if recognition can be achieved, the definition of the gesture can be answered. According to the recognizing method, the false alarm rate is low; an existing wireless network and an existing device are utilized, other specific detecting devices do not need to be installed, and high popularity is achieved. Meanwhile, a detected person does not need to carry any additional sensing devices, and inconvenience caused when the detected person carries the detecting devices is avoided.

An exhaust temperature raising apparatus has an exhaust throttle valve that adjusts the engine exhaust amount based on the amount of throttling, and an injector that performs main injection and a sub-injection directly into a cylinder, a combination of an ECU, the injection and the exhaust throttle valve as exhaust gas temperature increase apparatus for, during an engine warm-up, performing and controlling the exhaust throttling by the exhaust valve and performing and controlling an exhaust gas temperature increase through combustion attributed to the main injection performed in an excess-air condition and combustion attributed to the sub-injection, an exhaust gas temperature sensor that monitors a state of temperature increase of the exhaust gas caused by performance of the exhaust gas temperature increase apparatus, and the ECU as monitor abnormality detection apparatus for determining whether the exhaust gas temperature sensor has an abnormality, and the ECU as exhaust gas temperature increase stop apparatus for stopping the operation of the exhaust gas temperature increase apparatus when the ECU determines that the exhaust gas temperature sensor has an abnormality.