Industrial Robot Fault Detection Based on Wavelet Transform and LabVIEW

Abstract

Industrial robots are commonplace in production systems in order to improve productivity, quality and safety in manufacturing. There are many functions that can be carried out by industrial robots and they represent the basic building blocks of the production sector. Recent developments involve using robots cooperatively with production line operatives, and they are now routinely used in healthcare, nuclear plants, and other hazardous environments. Regardless of their application there are significant implications for operator safety in the event of a robot malfunction or failure, and the resulting downtime has a significant impact on productivity in manufacturing. The ability to continuously monitor the status and condition of robots has become a research issue in recent years and is now receiving considerable attention. However, in this research a fault detection system based on multi-resolution analysis using wavelet transform was successfully designed and applied using LabView programming.