The Prediction of Mean Cycles Between Failures by Using of the Modified Acceleration Test

Accelerated life testing is the process of testing a product by subjecting it to conditions (stress, strain, temperatures, voltage, vibration rate, pressure etc.) in excess of its normal service parameters in an effort to uncover faults and potential modes of failure in a short amount of time. By analyzing the product s response to such tests, engineers can make predictions about the service life and maintenance intervals of a product. To obtain the Reliability of a mechanical system named robotic arm under normal working condition, a small-sample accelerated life test method was proposed. The inverse power law model and small-sample virtual augmented theory was applied while taking vibration as the accelerated stress. The accelerated life test of the robotic arm was carried out under different stress levels. The results showed that the Mean Cycles Between Failures of exchanging tool under normal stress was about 28283 times for the robotic arm. The proposed small-sample accelerated life test method, which based on the inverse power law model, could also be used in other relevant large-scale and complex products.