Fault Detection Robotic System: Controlling and Experimental Validation of Overhead Crane Climbing Robot

The involvement of robots has increased rapidly in the last few years in many applications. A variety of robot performs numerous type of task in a hazardous environment. In order to prevent server damage to the infrastructures of overhead cranes in an industrial environment, a Fault Detection System (FDS) and Structural Health Monitoring (SHM) has a significant role. Mainly enhancing the safety, reliability, and availability of industrial overhead cranes requires timely continuous monitoring. This research proposes a wide approach for inspection that applies to various types of physical machines by mainly focusing on overhead crane bridges. The study of fault detection using a robotic system by NDT & SHM is relatively new, as only a few types of research has been performed. To be more specific, this paper provides a detailed insight into an autonomous robot for crack detection in overhead cranes bridges and girder using an array of GMR (Giant magneto resistive) sensors and magnetic climbing mechanisms. Firstly, we focused on the challenges and issues in the monitoring of the overhead cranes and the possibility of cracks and faults. Concerning these challenges and issues, we have proposed a new approach applicable for overhead cranes bridges crack detection. The intention of conducting this research is to make the inspection process cost-effective, reliable, and safe. This paper provides detailed insight into crack detection robots and sensor systems by considering all attributes.