Step 1: Differentiate from Environmental Interference-Based Performance Degradation
Environmental interference-induced performance degradation has very clear characteristics:
1. Signal Performance: The output signal exhibits periodic noise (such as 50Hz power frequency noise synchronized with the grid), or the value jumps irregularly, but the sensor sensitivity itself does not attenuate. The amplitude of the jumps changes with the start and stop of surrounding high-power equipment.
2. Environmental Correlation: After changing the working environment or avoiding the interference source, the performance significantly recovers to normal. If it is caused by excessive temperature and humidity, the performance degradation is synchronized with changes in ambient temperature and humidity. Once the nominal temperature and humidity range is returned, the performance can recover on its own.
3. Verification Method: After re-shielding and grounding and reinforcing the installation, the abnormality disappears, confirming that it is caused by environmental interference.
Step 2: Then Determine Sensitivity Attenuation-Based Performance Degradation
Sensitivity attenuation is caused by aging/contamination of the sensor components themselves. Typical characteristics:
1. Signal Performance: The overall amplitude of the output signal is stable but low. The response amplitude to known vibrations is more than 15% lower than that of a new/standard sensor, but the signal waveform itself has no obvious noise distortion.
2. Performance Consistency: Regardless of how the working environment is adjusted, the output... The amplitude remains consistently low, and the attenuation gradually worsens with usage time.
3. Contamination-related attenuation characteristics: If it's caused by contamination on the surface of the sensitive element, the sensor's operating environment is often dusty and oily. Cleaning the surface contaminants will significantly improve sensitivity. Attenuation caused by element aging cannot be recovered after cleaning; this is natural aging.
Step Three: Finally, check for other sensor body faults.
After eliminating the above two categories, the fault can be determined to be a sensor body fault. Different faults correspond to the following characteristics:
1. Signal distortion/zero drift: When there is no vibration input, the output baseline deviates from zero by more than the allowable range, or the waveform... 1. Severe distortion, often caused by internal circuit faults or component damage.
2. No output/signal interruption: If there is still no output after checking wiring and power supply, it is generally caused by an open circuit in the internal coil or a loose solder joint.
3. Mechanical structure fault: The output signal is completely chaotic and irregular. Disassembly inspection may reveal that the internal mass block is loose or has fallen off, or the spring is fatigued and broken, often caused by long-term strong impact.
4. Verification method: Compare the faulty sensor with a normal sensor of the same model under the same vibration environment. If the data deviation consistently exceeds the reasonable range, it can be confirmed that the fault is caused by the sensor itself.
