Vibronic Sensor Extraneous Vibration Suppression
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Solution Overview
Problem
Existing vibronic measuring devices struggle to reliably detect and suppress extraneous vibrations, particularly those close to the frequency of the fundamental mode, which can interfere with fill level monitoring and other process variable measurements.
Innovation Solution
The implementation of a vibronic measuring device equipped with a vibration sensor and an analysis unit that uses self-learning AI, such as an artificial neural network, to analyze both the electrical receiving signal and the sensor signal. This allows for the detection and classification of extraneous vibrations, enabling improved signal processing and suppression of unwanted vibrations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a vibration sensor is used to detect extraneous vibrations, then the reliability of extraneous vibration detection is improved, but extraneous vibrations close to the fundamental mode frequency cannot be reliably detected
Solution Approach 1:
An analysis unit is introduced as an intermediary between the vibration sensor and the control system. This analysis unit processes the sensor signals to distinguish between desired measurement vibrations and extraneous vibrations, even when they are close in frequency. The analysis unit applies signal processing algorithms to identify and separate overlapping vibration components, enabling reliable detection of extraneous vibrations that would otherwise be indistinguishable from the fundamental mode.
Solution Approach 2:
The system implements feedback by continuously monitoring the receiving signal and comparing it with the excitation signal. The analysis unit uses this feedback to identify extraneous vibrations and generates control signals to adjust the excitation frequency or amplitude, thereby suppressing the harmful extraneous vibrations while maintaining accurate measurement of process variables.
2Reliability
If the excitation frequency is changed to suppress extraneous vibrations, then the receiving signal is less disturbed, but the resonant frequency of the mechanically oscillatory unit cannot be changed by excitation change
Solution Approach 1:
The system dynamically adjusts the excitation frequency and amplitude based on real-time analysis of the receiving signal. While the resonant frequency of the mechanically oscillatory unit remains fixed, the excitation parameters are continuously optimized to maximize the desired vibration response while minimizing excitation of extraneous vibration modes. This dynamic adaptation allows the system to maintain high signal quality without requiring physical modification of the oscillatory unit.
Solution Approach 2:
The control system changes operational parameters (excitation frequency, amplitude, and waveform) to optimize measurement conditions. By analyzing the frequency spectrum of the receiving signal, the system identifies and avoids excitation frequencies that would trigger extraneous vibrations, thereby maintaining clean measurement signals while working within the fixed resonant characteristics of the mechanically oscillatory unit.
3Measurement precision
If higher vibrational modes are excited to avoid extraneous vibrations, then frequency separation is achieved, but the amplitude is too small for practical signal evaluation
Solution Approach 1:
The analysis unit serves as a signal amplifier and processor that enhances the weak higher-mode vibration signals. By applying sophisticated signal processing techniques such as spectral analysis and noise filtering, the analysis unit extracts meaningful measurement information from the small-amplitude higher vibrational modes, making them practically usable despite their inherently lower amplitude compared to the fundamental mode.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This solution enables more reliable detection and suppression of extraneous vibrations, ensuring accurate measurement of process variables like fill level, density, and viscosity, even in the presence of interfering vibrations.
Implementation Method 1
having at least one drive and receiving unit for exciting the mechanically oscillatory unit to vibrate mechanically by means of an electrical excitation signal and for receiving and converting mechanical vibrations into an electrical receiving signal
Implementation Method 2
The vibration sensor vibrates with a different resonant frequency and amplitude depending on covered state, density and temperature of the medium
Data Source
AI summary
A vibronic measuring device, e.g. limit level sensor, for determining and/or monitoring at least one process variable, includes a mechanically oscillatory unit, which is excited to vibrate by at least one drive unit based on an electrical signal SA. A receiving unit receives and converts mechanical vibrations into an electrical signal SE. A control and evaluation unit applies closed- and/or open-loop control of the vibrational excitation, and evaluates the signal SE with respect to the process variable. A vibration sensor pick up a sensor signal SS at the vibration sensor, and an analysis unit is supplied with signals SE and SS, and applies self-learning analysis of the input signals and transmits reliability information for the signal SE to the control and evaluation unit.