How to test the stability of the detection circuit of the electric fusion welding machine?

1. Long-term continuous operation test: Let the electric fusion welding machine run continuously for a long period of time under rated working conditions, such as 24 hours or longer, during which the current, voltage, temperature and other parameters output by the detection circuit are monitored to observe whether they remain stable and whether there are obvious fluctuations or drifts.
2. Environmental change test: Change the working environment temperature and humidity of the electric fusion welding machine, perform welding operations under different conditions, and check whether the measurement results of the detection circuit are significantly affected by environmental factors.
3. Electromagnetic interference test: Place other equipment that generates strong electromagnetic fields near the electric fusion welding machine, such as large motors, inverters, etc., and observe the measurement stability of the detection circuit under electromagnetic interference.
4. Load change test: Change the size and nature of the welding load, such as welding pipes of different specifications and materials, and observe the response and stability of the detection circuit when the load changes.
5. Power supply fluctuation test: By adjusting the voltage and frequency of the input power supply, simulate the unstable power supply situation and check whether the output of the detection circuit is stable.
6. Repeatability test: Repeat the same welding conditions for multiple times, compare the parameter values ​​measured by the detection circuit each time, and evaluate its repeatability and stability.
7. Thermal cycle test: Let the electric fusion welder undergo multiple heating and cooling cycles to observe the stability of the detection circuit during temperature changes.
8. Statistical analysis: Perform statistical analysis on the data obtained from multiple tests, calculate the mean, standard deviation, coefficient of variation and other indicators of the measured parameters, and quantitatively evaluate the stability of the detection circuit.