Patent classifications
G01P3/42
RESONANT SENSOR USING MEMS RESONATOR, AND DETECTION METHOD BY RESONANT SENSOR
A temperature sensor is a temperature sensor using a MEMS resonator, and includes: a MEMS resonator; a sweeper that sweeps a frequency of an excitation signal for a vibrator of the MEMS resonator in a predetermined sweep direction, and outputs the excitation signal swept to the MEMS resonator; a discontinuity point detector that obtains a vibration state information signal, which is a characteristic quantity expressing a vibration state of the vibrator based on the excitation signal, from the MEMS resonator, and detects a detection value that is (i) a frequency of the excitation signal when the vibration state information signal obtained changes discontinuously or (ii) a time corresponding to the frequency; and a converter that determines a physical quantity acting on the MEMS resonator based on the detection value detected.
Rotary transformer
A rotary transformer is provided. The transformer has a stator and a rotor. The stator has a stator core and the rotor has a rotor core sleeved in the stator core. An air gap is defined between an inner side wall of the stator core and an outer side wall of the rotor core. During rotation of the rotor, a length S of the air gap along a circumferential direction of the transformer and a mechanical rotation angle θ of the rotor satisfy a sinusoidal function relationship containing third-harmonic components, and the length changes periodically according to the functional relationship to define a shape of the rotor core. As a result, the output signal amplitude and measurement accuracy of the position of the rotary transformer can be improved under the same maximum and minimum air gaps.
Rotary transformer
A rotary transformer is provided. The transformer has a stator and a rotor. The stator has a stator core and the rotor has a rotor core sleeved in the stator core. An air gap is defined between an inner side wall of the stator core and an outer side wall of the rotor core. During rotation of the rotor, a length S of the air gap along a circumferential direction of the transformer and a mechanical rotation angle θ of the rotor satisfy a sinusoidal function relationship containing third-harmonic components, and the length changes periodically according to the functional relationship to define a shape of the rotor core. As a result, the output signal amplitude and measurement accuracy of the position of the rotary transformer can be improved under the same maximum and minimum air gaps.
ROTATION SENSOR
A rotation sensor includes a power supply line, a detection line, a sensor unit, and a switch, wherein a power supply voltage is applied to the sensor unit via the power supply line, and an ON voltage is applied to the switch via the power supply line, and the switch is connected to the detection line.
Remote vibration detection of submerged equipment using magnetic field sensing
Techniques for operating a sensor are provided. An example method according to these techniques includes sensing, at the sensor, changes in intensity of a magnetic field of a magnet affixed to a monitored asset to produce sensor data, wherein the monitored asset is disposed in a non-metallic liquid or solid medium, and wherein the sensor is disposed outside of the non-metallic medium; The method also includes analyzing, at the sensor, the sensor data to produce feature information indicative of vibration of the monitored asset. The method also includes providing the feature information to a predictive algorithm to generate prognosis information indicating an occurrence of a known condition of the monitored asset.
Remote vibration detection of submerged equipment using magnetic field sensing
Techniques for operating a sensor are provided. An example method according to these techniques includes sensing, at the sensor, changes in intensity of a magnetic field of a magnet affixed to a monitored asset to produce sensor data, wherein the monitored asset is disposed in a non-metallic liquid or solid medium, and wherein the sensor is disposed outside of the non-metallic medium; The method also includes analyzing, at the sensor, the sensor data to produce feature information indicative of vibration of the monitored asset. The method also includes providing the feature information to a predictive algorithm to generate prognosis information indicating an occurrence of a known condition of the monitored asset.
System and method for monitoring rotating equipment
A system for monitoring rotating equipment. The system includes a sensor device that acquires vibration data, acoustic emission data, temperature data, and magnetic flux data of the rotating equipment. The sensor device includes base, holding frame, first integrated circuit, housing, and power source. The first integrated circuit includes a plurality of sensors and a microcontroller configured to receive vibration data, acoustic emission data, temperature data, magnetic flux data from plurality of sensors and determine anomalies of the rotating equipment. The system further comprises an application server that receives vibration data and magnetic flux data, determines revolutions per minute (RPM) data for rotating equipment, and diagnose faults based on processed vibration data and RPM data. The application server further generates a set of features and corresponding feature values and analyzes them to diagnose faults, and predict remaining useful life of the rotating equipment.
System and method for monitoring rotating equipment
A system for monitoring rotating equipment. The system includes a sensor device that acquires vibration data, acoustic emission data, temperature data, and magnetic flux data of the rotating equipment. The sensor device includes base, holding frame, first integrated circuit, housing, and power source. The first integrated circuit includes a plurality of sensors and a microcontroller configured to receive vibration data, acoustic emission data, temperature data, magnetic flux data from plurality of sensors and determine anomalies of the rotating equipment. The system further comprises an application server that receives vibration data and magnetic flux data, determines revolutions per minute (RPM) data for rotating equipment, and diagnose faults based on processed vibration data and RPM data. The application server further generates a set of features and corresponding feature values and analyzes them to diagnose faults, and predict remaining useful life of the rotating equipment.
Velocity calculation apparatus, control method, program and storage medium
If a controller determines the calculation of a measured vehicle body velocity is possible, the controller calculates the measured vehicle body velocity as an estimated vehicle body velocity to conduct update processing for a K table and an AB table. If the controller determines the calculation of the measured vehicle body velocity is impossible, the controller extracts a conversion coefficient from the K table based on a detected running state while extracting a sensitivity coefficient and an offset coefficient from the AB table based on the temperature by a temperature sensor. The vehicle mounted apparatus calculates an axle pulse-based vehicle body velocity from the extracted conversion coefficient while calculating an acceleration-based vehicle body velocity from the extracted sensitivity coefficient and offset coefficient. The vehicle mounted apparatus calculates the estimated vehicle body velocity by weighting the calculation values of the axle pulse-based vehicle body velocity and the acceleration-based vehicle body velocity.
Velocity calculation apparatus, control method, program and storage medium
If a controller determines the calculation of a measured vehicle body velocity is possible, the controller calculates the measured vehicle body velocity as an estimated vehicle body velocity to conduct update processing for a K table and an AB table. If the controller determines the calculation of the measured vehicle body velocity is impossible, the controller extracts a conversion coefficient from the K table based on a detected running state while extracting a sensitivity coefficient and an offset coefficient from the AB table based on the temperature by a temperature sensor. The vehicle mounted apparatus calculates an axle pulse-based vehicle body velocity from the extracted conversion coefficient while calculating an acceleration-based vehicle body velocity from the extracted sensitivity coefficient and offset coefficient. The vehicle mounted apparatus calculates the estimated vehicle body velocity by weighting the calculation values of the axle pulse-based vehicle body velocity and the acceleration-based vehicle body velocity.