TY - JOUR TT - A New Approach Based on Image Processing for Detection of Wear of Guide-Rail Surface in Elevator Systems AU - Yaman, Orhan AU - Baygin, Mehmet AU - Karakose, Mehmet PY - 2016 DA - December DO - 10.18100/ijamec.270559 JF - International Journal of Applied Mathematics Electronics and Computers PB - PLUSBASE AKADEMİ ORGANİZASYON VE DANIŞMANLIK WT - DergiPark SN - 2147-8228 SP - 296 EP - 300 IS - Special Issue-1 KW - Elevator Systems KW - Fault Detection KW - Image Processing KW - Image Segmentation N2 - Elevators ensure transportation of people inside buildings and increasetheir life quality. High-rise buildings whose number is increasingly going uptoday has one or more elevator cabs to provide vertical transportation. A greatnumber of people use elevators in many buildings such as business centres,hotels, hospitals and shopping centres daily. It is highly essential for theelevators used by many people daily to operate constantly. In the event ofsudden failure of elevators during operation, people inside them face with atough situation. Also, people have difficulty during the maintenance-repairperiod of elevators. Elevator system has counterweight system in order tobalance the weight of elevator cab. A guide-rail system has been developed tolimit the movements of elevator cab and counterweights on horizontal axis. Whenan elevator system is operational, cab and counterweight system move reversely.The common failures in elevators are usually seen in the components such aselevator guide-rail system, ropes and motors.In this study, a system based on image processing has been developed inorder to prevent wear on guide-rail surface in elevators. In the proposedmethod, real-time condition monitoring is performed by cameras using built-insystem. The images of elevator guide-rail surface are captured via four digitalcameras fixed onto elevator cab. The image-processing methods are applied onthe images captured by cameras and hence the wears on the surface of guide-railsare detected. The surface of guide-rail is firstly detected in the proposedmethod. Then, image segmentation and mathematical morphology are applied on theimage of guide-rail surface and the wears on the surface of rail are detected.The failure extent of the wear failures detected are calculated. By processingthe images captured by four cameras during movement of elevator, the resultsfor surface of guide-rails are obtained. Using these results, reporting isperformed. An elevator prototype has been created in order to carry out testsfor development of the proposed method. The tests have been conducted by fixingthe built-in system and cameras onto this elevator prototype. It isconsiderably advantageous to detect the failures on elevator guide-railsthrough image-processing methods. Following a literature review, it is seenthat the proposed method is a new approach. 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