简介：Industrial robots are now commonly used in production systems to improve productivity, quality and safety in manufacturing processes. So, the main focuses of this research is to develop an online and wireless fault detection system for an industrial robot based on statistical control chart approach. An experimental investigation was accomplished using the PUMA 560 robot and vibration signal capturing was adopted, as it responds immediately to manifest itself if any change is appeared in the monitored machine, to extract features related to the robot health conditions. The results indicate the successful detection of faults at the early stages using the key extracted parameters.

来源：《International Journal of Electrical and Computer Engineering (IJECE)》；Vol. 7, No. 6,, pp. 3421~3435

链接：http://pan.ckcest.cn/rcservice//doc?doc_id=24622