Patent classifications
G01D2218/10
METHOD FOR DIAGNOSING A SENSOR SYSTEM IN A PART-SPECIFIC MANNER
A method for carrying out a diagnosis of a sensor system. The method including: (i) ascertaining a processing specification of a test signal and/or of a characteristic physical variable and/or its respective change as a function of at least one part-specific property of the sensor system; and (ii) carrying out a subsequent diagnosis of a sensor element of the sensor system, using the processing specification ascertained in (i).
APPARATUS FOR PROVIDING A SENSOR SIGNAL FOR EVALUATION FOR A BRAKING SYSTEM OF A VEHICLE, METHOD AND CONTROL UNIT FOR EVALUATING A SENSOR SIGNAL FOR A BRAKING SYSTEM OF A VEHICLE, AND BRAKING SYSTEM FOR A VEHICLE
An apparatus for providing a sensor signal (SS) for evaluating a vehicle braking system, including: a first signal-path (SP) for outputting the SS to a first output-interface (OI) to a first converter-device (CD), the first SP having first electronic-components (EC), and is electrically connectable to an input-interface (II) to a vehicle sensor (VS); a first test-device (TD) for applying a first test-signal (TS) to the SS in the first SP, the first TD being electrically connectable to the first SP; a second SP for outputting the SS to a second OI to a second CD, the second SP having second EC, and is electrically connectable to the II to the VS; and a second TD for applying a second TS to the SS in the second SP, the second TD being electrically connectable to the second SP. Also described are a method, control unit, braking system, and computer readable medium.
Device and method for determining a total pitch deviation of an annular product
A total pitch deviation measurement device that determines a total pitch deviation of an annular product having at least a magnetic ring. The device providing a frame; a pallet conveyor fixed to the frame and designed to support the rotor positioning bearing unit; a spindle unit mounted in translation compared to the frame along a vertical axis, the spindle unit including a spindle shaft, a motor driving the spindle shaft, and an encoder connected to the spindle shaft; the spindle shaft having a free lower end having a tapered shape that fits into a bore of the annular product; a sensor fixed to the frame that measures a magnetic field signal at a position of the magnetic ring and transmits the signal measured to an control unit that determines the total pitch deviation of the annular product. Also, a method for carrying out the function of the intended device.
Flexible test board to improve sensor i/o coverage for autonomous driving platform
Systems and methods are disclosed for performing manufacturing testing on an autonomous driving vehicle (ADV) sensor board. A sensor unit of the ADV includes a plurality of sensor I/O channels that provide information to the ADV perception and planning module, to navigate the ADV. An array of sensors is emulated on a sensor unit test board. The sensor unit includes a small software that manages the flow of testing the sensor unit. The sensor unit test board provides emulated sensor data for, e.g., GPS, LIDAR, RADAR, inertial measurement, one or more cameras, humidity, temperature, and pressure, and throttle, braking, and steering inputs. Each emulated sensor includes its own data validity checker to ensure that each sensor I/O channel of the sensor unit is tested. The sensor unit test board can include an LED for each I/O channel that indicates a pass/fail status of the test for the I/O channel.
METHOD AND COMPUTER PROGRAM PRODUCT FOR DETERMINING THE MEASUREMENT UNCERTAINTY OF A MEASURING SYSTEM
A method for determining the measurement uncertainty of a measuring system that detects a physical measurement variable includes a plurality of transmission links forming a measuring chain for detecting a physical measurement quantity. Directly adjacent transmission links are in a cause-and-effect relationship in the measuring chain. The method includes using a computer program to read in information for identifying the transmission links; reading in legible labels of influencing variables of the transmission links identified by the computer program product; determining a relevance of the influencing variables of the identified transmission links for the computer program's measurement uncertainty; and using influencing variables determined as being relevant for calculating the computer program's measurement uncertainty.
MAGNETIC FIELD SENSOR APPARATUS AND METHOD
Methods and apparatuses are provided, in which a magnetic field is measured using a coil in a first operating mode and a magnetic field is generated using the coil in a second operating mode in order to test a further magnetic field sensor.
METHOD FOR TESTING A SENSOR
A method for testing a sensor with a primary inductor which is galvanically isolated from first and second secondary inductors which are respectively coupled inductively to the primary inductor, including: calculating a sensor output signal, wherein the sensor output signal is dependent on the coupling between the primary inductor and the first secondary inductor as well as that between the primary inductor and the second secondary inductor; determining a first electrical variable, which is different from the sensor output signal; comparing the first electrical variable with a first limiting value in order to determine whether the sensor is in a faulty state, as well as to a corresponding device and to a sensor having the device.
Process variable sensor testing
A process transmitter includes a process variable sensor, a test circuit, a switch and a controller. The process variable sensor includes a sensor output that is indicative of a sensed process variable. The test circuit is configured to detect a condition of the process variable sensor. The switch is configured to selectively connect the test circuit to the process variable sensor and disconnect the test circuit from the process variable sensor. The controller is configured to obtain a measurement of the process variable, control the switch, detect a condition of the process variable sensor by comparing the sensor output when the test circuit is connected to the process variable sensor to the sensor output when the test circuit is disconnected from the process variable sensor, and communicate the condition in the measurement to an external control unit.
Capacitive sensor system
A capacitive sensor system that includes: a sensor arrangement with a plurality of capacitive electrodes, each being connected to a corresponding detector line; and a detector device connected to each detector line and configured to detect the capacitance of each electrode by applying a detector signal. The sensor arrangement includes: at least one electrode group having at least two electrodes, each electrode of an electrode group being connected to another electrode via a resistive element so that all electrodes of this electrode group are connected in series; and a diagnose device that is connected, for each electrode group, at least to a first detector line of a first electrode and to a second detector line of a second detector electrode and is configured to apply a diagnose signal via the first and second detector lines and to detect a conductor break based on a response to the diagnose signal.
ANALYSIS METHOD OF A DEVICE, PERFORMED THROUGH A MEMS SENSOR, AND SYSTEM THEREOF INCLUDING THE DEVICE AND THE MEMS SENSOR
An analysis method of a device through a MEMS sensor is provided in which the MEMS sensor includes a control unit and a sensing assembly coupled to the device. The analysis method includes acquiring, through the sensing assembly, first data indicative of an operative state of the device. Testing is performed for the presence of a first abnormal operating condition of the device. If the first abnormal operating condition of the device is confirmed, a self-test of the sensing assembly is performed to generate a quantity indicative of an operative state of the sensing assembly. The self-test includes acquiring, through the sensing assembly, second data indicative of the operative state of the sensing assembly, generating a signature according to the second data, and processing the signature through deep learning techniques to generate said quantity.