Abstract:
A system (100) for different electric loads (102,103,104) includes sensors (106) structured to sense voltage and current signals (107) for each of the different electric loads; a hierarchical load feature database (108) having a plurality of layers (110), with one (112) of the layers including a plurality of different load categories; and a processor (114). The processor acquires voltage and current waveforms from the sensors for a corresponding one of the different electric loads; maps a voltage-current trajectory to a grid including a plurality of cells, each of which is assigned a binary value of zero or one; extracts a plurality of different features from the mapped grid of cells as a graphical signature of the corresponding one of the different electric loads; derives a category of the corresponding one of the different electric loads from the database; and identifies one of a plurality of different electric load types for the corresponding one of the different electric loads.
Abstract:
A system for improved manual welding is provided. The system includes a novel nozzle for maintaining fixed electrode-work piece distance, sensors such as optical, temperature, ultrasound and the like for providing feedback on weld quality, and indicators such as a video screen indicating actual vs. desired weld characteristics (such as speed, size, position, and the like). Furthermore actuators in the device allow for control over movement either perpendicular to the weld seam, parallel to it, or both. For example an eccentric axis allows for automation of the welding weave motion.
Abstract:
A method of detecting an unhealthy/potentially/ failing instrument using apparatus is carried out by measuring a characteristic of the output of an instrument. The measurement of the characteristic is compared to an expected distribution of the instrument when healthy. The probability of the instrument producing such a characteristic measurement, or a value further from the mean of the expected distribution, if it was healthy is calculated. The measured characteristic to an expected distribution of the instrument when unhealthy is compared, and the probability of the instrument producing such a characteristic measurement, or a value further from the mean of the expected distribution, if it was unhealthy is calculated. The probability of the measured characteristic being produced by the instrument when healthy and when unhealthy is compared. A confidence value indicative of the likelihood of the instrument being unhealthy is then produced.
Abstract:
An analog signal measurement system and a gamma ray detector with targeted automated gamma spectroscopy for gamma radiation surveillance system are disclosed. The analog signal measurement system has dynamically programmable lower and upper level discriminators for measuring an analog signal thereagainst, and logic devices for receiving input from the discriminators to generate digital signals. The gamma ray detector comprises a gamma ray detector for converting a gamma ray photon into an analog pulse, and a single channel analyzer or the analog signal measurement system. The gamma ray detector further includes dynamically programmable lower and upper level discriminators for converting the analog pulse generated from the gamma ray detector into a digital signal, a resettable programmatically controlled counter for counting the digital signal and a computing device that controls the lower and upper level discriminators for defining a gamma ray energy window and measures gamma count rate for that energy window.
Abstract:
Die Erfindung betrifft ein Verfahren zum Verarbeiten von kontinuierlichen Sensorsignalen eines Sensors (2), bei dem ein Sensorsignal mit einer Abtastfrequenz abgetastet wird und so eine Folge von zeitlich einordenbaren Abtastwerten erzeugt wird, wobei die Abtastfrequenz dynamisch an die zeitlich variierenden spektralen Signaleigenschaften des Sensorsignals angepasst wird und dass den so erzeugten Abtastwerten eine Zeitinformation zugeordnet wird, die die zeitliche Einordnung der Abtastwerte ermöglicht.
Abstract:
A measurement processing system is disclosed for fusing measurement data from a set of independent self-validating (SEVA) process sensors (20) monitoring the same real-time measurand in order to generate a combined best estimate for the value, uncertainty and measurement status of the measurand. The system also provides consistency checking between the measurements. The measurement processing system includes a first process sensor (20) and a second process sensor (20). Each of the first and second process sensors (20) receive a measurement signal from a transducer and generate independent process metrics (24). A measurement fusion block (22) is connected to the first and second process sensors (20), the measurement fusion block (22) is operable to receive the independent process metrics and execute a measurement analysis process to analyse the independent process metrics and generate the combined best estimate of the independent process metrics.
Abstract:
The invention relates to a method of storing information in the form of signals from a control system in a vehicle, said method comprising the step of reading a signal on recurrent sampling occasions and increasing the value of a counter which represents a signal value interval. The method further comprises the steps of measuring on each sampling occasion a change of the signal in relation to a previous signal value, comparing the change with the threshold value, and, if the change is greater than the threshold value, increasing the value of a counter associated with this threshold value.
Abstract:
The motion detector according to the invention is comprised of a piezo-electric element (26, 27) provided with electrodes (28) and mounted inside a closed housing (31) wherein a weight (25) is movably enclosed. The piezo-electric element provides a pulse when it is struck by the weight (25). A micro-computer (18) adds and records the pulses of the terminals of said piezo-electric element (26, 27).
Abstract:
본 발명의 소리 이상 탐지 방법은 오디오부가 검사 대상으로부터 소음을 취득하는 단계와, 데이터처리부가 상기 소음으로부터 복수의 특징 벡터를 포함하는 특징벡터행렬인 입력값을 생성하는 단계와, 탐지부가 상기 입력값에 대해 학습된 심층신경망인 탐지망을 통해 상기 입력값을 모사하는 복원값을 생성하는 단계와, 상기 탐지부가 상기 입력값과 상기 복원값의 차이를 나타내는 복원 오차가 기 산출된 기준치를 초과하는지 여부를 판단하는 단계와, 상기 탐지부가 상기 판단 결과, 상기 복원오차가 상기 기준치 이상이면, 상기 검사 대상에 이상이 있는 것으로 판단하는 단계를 포함한다.
Abstract:
A method for routing, through a geographic region over a time interval, a sensor platform mounted on a vehicle is described. The method includes receiving a precision level for at least one constituent of an environment measured by a sensor of the sensor platform. The precision level corresponds to a mean concentration of the constituents) over the time interval. A reference dataset corresponding to the geographic region and the time interval is selected. From the reference dataset and the precision level, at least one minimum number of distinct samples for a plurality of geographic segments of the geographic region is determined. The method also includes determining a number of passes for the geographic region over the time interval using the minimum number of distinct samples for each of the plurality of geographic segments. Each pass of the number of passes is part of a route for the vehicle.