Does your load cell show random numbers? Does the zero point drift, or is the display unstable?
The hardware might be fine, often, it's just signal noise messing with your readings.
GoodProx, as a industrial automation field engineer, we see this a lot. Here are three proven ways to solve it.
Motors, VFDs, and wireless devices in modern plants create a lot of electromagnetic interference (EMI). This is the most common cause of a jumping load cell display and a primary cause of industrial weighing system instability.
Use shielded cable. Go for double-layer shielded cable. This is crucial for a stable load cell signal output.
Keep your distance. Run signal lines at least 30cm away from power cables. This simple step is key for reducing EMI in load cell circuits.
Twisted pair cables are great for reducing EMI and improving noise immunity for industrial sensors.
A bad or wrong ground connection is a major reason for load cell zero drift and unstable weighing signals in automation.
Use single-point grounding. Connect the shield at one end only (usually the meter side). This stops ground loops.
Check the ground rod. Make sure the resistance is low.
Real result: One plant fixed their grounding and reduced fluctuation from ±2.5% to ±0.3%. Improving their load cell measurement accuracy.
Small issues in the wiring can cause big noise problems, directly affecting load cell performance in harsh environments.
Look for damage. Check for cuts or crushed cables. Loose or oxidized connectors are a frequent cause of load cell signal noise.
Check the connectors. Loose or oxidized connectors cause noise.
Watch the length. For long runs (over 80-100m), use a signal amplifier.
When you see load cell signal interference, check in this order:
By combining these three methods—fighting EMI, fixing the ground, and checking wires—you can solve most load cell signal interference issues in factory automation. Start with the simplest check and work your way up. For very tough cases, you might need a professional with a spectrum analyzer for a detailed analysis of industrial measurement noise.