Patent classifications
G01F1/3287
VORTEX FLOWMETER AND METHOD FOR OPERATING A VORTEX FLOWMETER
A vortex flowmeter with at least one measuring tube, at least one bluff body and at least one measuring sensor arranged behind the bluff body, at least one measuring transducer and at least one evaluation unit, wherein the measuring sensor is arranged such that, during operation, it is deflected by the vortices of the medium forming behind the bluff body, wherein the measuring transducer is designed and arranged such that, during operation, it converts the deflection of the measuring sensor into a corresponding change in a measured variable and transmits it as a measured signal to the evaluation unit. The functionality of the measuring transducer can be checked is achieved by an actuator being arranged and controllable by a control unit such that the actuator can deflect and/or deform the measuring transducer and/or the measuring sensor.
Non-invasive sensor in a bluff body of a vortex flowmeter
A vortex flowmeter includes a flow tube configured to receive a flow of process fluid in a first direction. A bluff body is disposed within the flow tube between a first end and a second end. The bluff body is configured to generate vortices in the flow of process fluid. A plurality of sensors are disposed within the bluff body configured to detect deformations within the bluff body resulting from the vortices acting on the bluff body.
Kalman filter based anti-transient-impact-vibration-interference signal processing method and system for vortex flowmeter
A segmented Kalman filter based anti-transient-impact-vibration-interference signal processing method and system for a vortex flowmeter with a microcontroller as a core are provided, which relate to a flow rate measurement field. The method includes: (1) seeking for data segments containing transient impact vibration interferences, (2) configuring a Kalman filter, (3) implementing Kalman filtering in segments, (4) analyzing frequency domain amplitude spectrum. A vortex flow signal is predicted and estimated by the Kalman filter to achieve an objective of reducing powers and proportions of transient impact vibration interferences. Even when multiple transient impact interference components exist, and powers of these interferences are larger than the power of the vortex flow signal, the interferences can still be eliminated to correctly extract a frequency of the vortex flow signal, as well as ensuring measurement accuracy of the vortex flowmeter under complicated working process.
Field device case and field device
A field device case is a metal field device case where a lead-in part for drawing a cable including an outer shield is provided on a tubular circumferential wall. The field device case includes: a first inner surface which is formed away from an opening end surface of the field device case in an axial direction orthogonal to the opening end surface; a second inner surface which is formed farther away from the opening end surface than the first inner surface in the axial direction; and a cable fixing member which is fixed to the first inner surface and allows the outer shield of the cable drawn by the lead-in part to be in contact with the second inner surface.
Method for evaluating a frequency spectrum
A method evaluates a frequency spectrum representative of at least one time-dependent signal, the at least one time dependent signal being derived from an output from a measuring device under predetermined measuring device operating conditions. The time-dependent signal, includes a portion being representative of a wanted signal, and a portion being representative of noise. The method includes the steps of determining, based on the frequency spectrum of the signal, a value representative of the noise floor, identifying, based on the frequency spectrum of the signal derived under the predetermined operating condition, a peak component, and if the peak component satisfies a relative peak criterion determined on the basis of the determined value representative of the noise floor, determining the wanted signal by applying a predetermined algorithm. The invention further relates to a method for determining flow of a measuring device, and a sensor.
METHOD FOR EVALUATING A FREQUENCY SPECTRUM
A method evaluates a frequency spectrum representative of at least one time-dependent signal, the at least one time dependent signal being derived from an output from a measuring device under predetermined measuring device operating conditions. The time-dependent signal, includes a portion being representative of a wanted signal, and a portion being representative of noise. The method includes the steps of determining, based on the frequency spectrum of the signal, a value representative of the noise floor, identifying, based on the frequency spectrum of the signal derived under the predetermined operating condition, a peak component, and if the peak component satisfies a relative peak criterion determined on the basis of the determined value representative of the noise floor, determining the wanted signal by applying a predetermined algorithm. The invention further relates to a method for determining flow of a measuring device, and a sensor.
METHOD FOR VERIFYING A USEFUL SIGNAL COMPONENT OF A PERIODIC SENSOR SIGNAL
A method for verifying a periodic useful signal component of a sensor signal of a flowmeter. To distinguish a useful signal from a noise signal, a periodic measured variable is detected over a period, and a periodic sensor signal is output, the sensor signal is subjected to a time/frequency analysis, and a time-dependent frequency spectrum of the sensor signal is determined, the time-dependent frequency spectrum is examined for a characteristic feature of the useful signal, and if the expected characteristic feature is found in the time-dependent frequency spectrum, the portion of the sensor signal having the characteristic feature is verified as the useful signal component and a flow measured value is determined on the basis of the verified useful signal component, or if the expected characteristic feature is not found, the portion of the sensor signal which does not have the characteristic feature is rejected as the noise signal component.
NON-INVASIVE SENSOR FOR VORTEX FLOWMETER
A vortex flowmeter includes a flow tube configured to receive a flow of process fluid in a first direction. A bluff body is disposed within the flow tube between a first end and a second end. The bluff body is configured to generate vortices in the flow of process fluid. A plurality of sensors are disposed within the bluff body configured to detect deformations within the bluff body resulting from the vortices acting on the bluff body.
VORTEX FLOWMETER WITH FLOW INSTABILITY DETECTION
A vortex flowmeter for measuring a flow rate of a process fluid, comprising a vortex generator arranged to generate vortices in a flow of the process fluid, a vortex sensor arranged to sense the vortices in the flow of the process fluid and responsively provide a sensor output related to the flow rate of the process fluid, measurement circuitry configured to receive the sensor output and provide a digital output, a memory configured to store measurements based upon the digital output; and diagnostic circuitry coupled to the memory arranged to detect instability in the flow of the process fluid based upon the measurements stored in the memory.
Measuring system and method for measuring a measurement variable of a flowing fluid
A measuring system includes: a lumen forming a flow path and a flow obstruction arranged in the flow path for effecting a disturbance in a flowing fluid; a sensor arrangement adapted to produce a first sensor signal and a second sensor signal; and transmitter electronics. The transmitter electronics are adapted to receive both the first and second sensor signals and to convert such into first and second sensor signal sampling sequences approximating the first and second sensor signals, respectively, the transmitter electronics further adapted using a digital adaptive filter to ascertain from the first sampling sequence a filter coefficients set and therewith to form a z-transfer function for filtering the second sampling sequence such that the z-transfer function is determined by the filter coefficients set, the signal filter and the second sampling sequence to produce a wanted signal sequence, to produce therefrom digital measured values representing a measurement variable.